Calculation of radiation dosimetry in targeted nuclear medicine therapies is traditionally resource-intensive requiring multiple post-therapy SPECT acquisitions. An alternative approach is to take advantage of existing pharmacokinetic data from these smaller cohorts to enable dose computation from a single post-treatment scan in a manner that may be applied to a much broader patient population. Methods: In this work, a technical description for simplified dose estimation is presented and applied to assessment of ¹⁷⁷Lu-PSMA-617 therapy (Prostate-Specific Membrane Antigen) for metastatic prostate cancer. By normalizing existing time-activity curves to a single measurement time, it is possible to calculate a mean and range of time-integrated activity values which relate to radiation absorbed dose. To assist with accurate pharmacokinetic modelling of the training cohort, a method for contour-guided image registration was developed. Results: Tissue-specific dose conversion factors for common post-treatment imaging times are reported along with a characterization of added uncertainty in comparison to a traditional serial imaging protocol. Single time point dose factors for tumor were determined to be 11.0, 12.1, 13.6, and 15.2 Gy per MBq/mL at image times of 24, 48, 72, and 96 hours, respectively. For normal tissues, parotid gland factors were 6.7, 9.4, 13.3, and 19.3 Gy per MBq/mL and kidneys were 7.1, 10.3, 15.0, and 22.0 Gy per MBq/mL at those times. Tumor dose estimates were most accurate using delayed scanning at times beyond 72 hours. Dose to healthy tissues is best characterized by scanning patients in the first two days of treatment owing to the larger degree of tracer clearance in this early phase. Conclusion: The work demonstrates a means for efficient dose estimation in ¹⁷⁷Lu-PSMA-617 therapy. By providing methods to simplify and potentially automate radiation dosimetry we hope to accelerate the understanding of radiobiology and development of dose-response models in this unique therapeutic context.

Purpose: To investigate differences between positron emission tomography/magnetic resonance imaging (PET/MRI) and PET/computed tomography (PET/CT) in lesion detection and classification in oncological whole-body examinations and to investigate radiation exposure differences between both modalities. Material and Methods: In this prospective, single-center, observational study 1003 oncological examinations (918 patients, mean age 57.8±14.4y) were included. Patients underwent PET/CT and subsequent PET/MRI (149.8±49.7min after tracer administration). Examinations were reviewed by radiologists and nuclear medicine physicians in consensus. Additional findings, characterization of indetermiante findings in PETCT, missed findings in PET/MRI including their clinical relevance and effective dose of both modalities were investigated. McNemar’s test was used to compare lesion detection between both hybrid imaging modalities (p<0.001 indicating statistical significance). Results: Additional information in PET/MRI was reported in 26.3% (264/1003) of examinations compared to PET/CT (p<0.001). Of these, additional malignant findings were detected in 5.3% (53/1003), leading to a change in TNM-staging in 2.9% (29/1003) due to PET/MRI. Definite lesion classification of indeterminate PET/CT findings was possible in 11.1% (111/1003) with PET/MRI. In 2.9% (29/1003), lesions detected in PET/CT were not visible in PET/MRI. Malignant lesions were missed in 1.2% (12/1003) by PET/MRI leading to a change in TNM-staging in 0.5% (5/1003). The estimated mean effective-dose for whole-body PET/CT amounted to 17.6±8.7mSv in comparison to 3.6±1.4mSv in PET/MRI, resulting in a potential dose reduction of 79.6% (p<0.001). Conclusion: PET/MRI improves lesion detection and potentially reduces additional examinations in tumor staging. Especially younger patients may benefit from the clinically relevant dose reduction of PET/MRI compared to PET/CT.

Introduction: The aim of this study was to analyze patterns of persistent versus recurrent or new PET lesions in a selected patient cohort with PSA persistence following salvage lymph node dissection (SLND) and pre/post procedure prostate-specific membrane antigen ligand positron emission tomography (PSMA-PET). Material and Methods: 16 patients were included in this multicenter study. Inclusion criteria were: a) PSMA-PET performed for biochemical recurrence before SLND (pre-SLND PET) and b) repeat PSMA-PET performed for persistently elevated PSA level (≥0.1 ng/mL) ≥6 weeks after SLND (post-SLND PET). Image analysis was performed by three independent nuclear medicine physicians applying the molecular imaging TNM system PROMISE. Lesions were confirmed by histopathology, presence on correlative CT/MRI/bone scan or PSA response after focal therapy. Results: post-SLND PET identified PCa-lesions in 88% (14/16) of patients with PSA persistence after SLND. Median PSA was 1.2 ng/mL (IQR, 0.6-2.8 ng/mL). Disease was confined to the pelvis in 56% of patients (9/16) and most of these men had common iliac (6/16, 38%) and internal iliac lymph node metastases (6/16, 38%). Extrapelvic disease was detected in 31% of patients (5/16). In pre- and post-SLND PET comparison, 10/16 had at least one lesion already detected at baseline (63% PET persistence); 4/16 had new lesions only (25% PET recurrence); 2 had no disease on post-SLND PET. All validated regions (11 regions in 9 patients) were true positive. 9/14 (64%) patients underwent repeat local therapies after SLND (7/14 radiotherapy, 2/14 surgery). Conclusion: SLND of pelvic nodal metastases was often not complete according to PSMA-PET. About two thirds of patients had PET positive nodal disease after SLND already seen on pre-SLND PSMA-PET. Notably, about one quarter of patients had new lesions, not detected by pre-surgical PSMA-PET.

Acute myocardial infarction (MI) triggers a local and systemic inflammatory response. We recently showed microglia involvement using TSPO imaging. Here, we evaluate whether ¹¹C-methionine provides further insights into heart-brain inflammation networking. Methods: Male Bl6N mice underwent permanent coronary artery ligation followed by ¹¹C-methionine PET at 3 and 7 days (n = 3). In subgroups, leukocyte homing was blocked by integrin antibodies (n = 5). The cellular substrate for PET signal was identified using brain section immunostaining. Results: ¹¹C-methionine uptake peaked in the MI region at d3 (5.9±0.9vs 2.4±0.5 %ID/cc), decreasing to control level by d7 (4.3±0.6 %ID/cc). Brain uptake was proportional to cardiac uptake (r=0.47,p<0.05), peaking also at d3 (2.9±0.4vs 2.4±0.3 %ID/cc) and returning to baseline at d7 (2.3±0.4 %ID/cc). Integrin blockade reduced uptake at every time point. Immunostaining at d3 revealed co-localization of the L-type amino acid transporter with GFAP-positive astrocytes but not CD68-positive microglia. Conclusion: PET imaging with ¹¹C-methionine specifically identifies an astrocyte component, enabling further dissection of the heart-brain axis in post MI inflammation.

We performed post-hoc analyses on the utility of pre-therapeutic and early interim ⁶⁸Ga-DOTA-Tyr3-octreotide (⁶⁸Ga-DOTATOC) positron emission tomography (PET) tumor uptake and volumetric parameters and a recently proposed biomarker, the inflammation-based index (IBI), for peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumor (NET) patients treated with ⁹⁰Y-DOTATOC in the setting of a prospective phase II trial. Methods: Forty-three NET patients received up to four cycles of 1.85 GBq/m²/cycle ⁹⁰Y-DOTATOC with a maximal kidney biologic effective dose of 37 Gy. All patients underwent a ⁶⁸Ga-DOTATOC PET/computed tomography (CT) at baseline and seven weeks after the first PRRT cycle. ⁶⁸Ga-DOTATOC-avid tumor lesions were semi-automatically delineated using a customized standardized uptake value (SUV) threshold-based approach. PRRT response was assessed on CT using RECIST 1.1. Results: Median progression-free survival (PFS) and overall survival (OS) were 13.9 and 22.3 months, respectively. An SUVmean higher than 13.7 (75th percentile (P75)) was associated with better survival (hazard ratio (HR) 0.45; P = 0.024), whereas a ⁶⁸Ga-DOTATOC-avid tumor volume higher than 578 ml (P75) was associated with worse OS (HR 2.18; P = 0.037). Elevated baseline IBI was associated with worse OS (HR 3.90; P = 0.001). Multivariate analysis corroborated independent associations between OS and SUVmean (P = 0.016) and IBI (P = 0.015). No significant correlations with PFS were found. A composite score based on SUVmean and IBI allowed to further stratify patients in three categories with significantly different survival. On early interim PET, a decrease in SUVmean of more than 17% (P75) was associated with worse survival (HR 2.29; P = 0.024). Conclusion: Normal baseline IBI and high ⁶⁸Ga-DOTATOC tumor uptake predict better outcome in NET patients treated with ⁹⁰Y-DOTATOC. This can be used for treatment personalization. Interim ⁶⁸Ga-DOTATOC PET does not provide information for treatment personalization.

The PET radiotracer ⁶⁸Ga-PSMA-HBED-CC (⁶⁸Ga-PSMA-11) shows potential as an imaging biomarker for recurrent and metastatic prostate cancer. The purpose of this study was to determine repeatability of ⁶⁸Ga-PSMA-HBED-CC in a test-retest trial in subjects with metastatic prostate adenocarcinoma. Methods: Subjects with metastatic prostate cancer underwent two PET/CT scans with ⁶⁸Ga-PSMA-HBED-CC within 14 days (mean 6 ± 4 d). Lesions in bone, nodes, prostate/bed, and visceral organs as well as representative normal tissues (salivary glands and spleen) were segmented separately by two readers. Absolute and percent differences in SUV_max and SUVmean were calculated for all test-retest regions. Repeatability was assessed using percentage difference, within-subject coefficient of variation (wCV), repeatability coefficient (RC), and Bland-Altman analysis. Results: 18 subjects were evaluated, 16 of which demonstrated local or metastatic disease on ⁶⁸Ga-PSMA-HBED-CC PET/CT. A total of 136 lesions were segmented in bone (n = 99), nodes (n = 27), prostate/bed (n = 7), and viscera (n = 3). The wCV for SUV_max was 11.7% for bone lesions and 13.7% for nodes. The RC was ±32.5% SUV_max for bone lesions and ±37.9% SUV_max for nodal lesions, meaning 95% of the normal variability between two measurements will be within these numbers, so larger differences are likely attributable to true biological changes in tumor rather than normal physiologic or measurement variability. wCV in the salivary glands and spleen was 8.9% and 10.7% SUVmean, respectively. Conclusion: Repeatability measurements for PET/CT test-retest with ⁶⁸Ga-PSMA-HBED-CC show a wCV 12-14% SUV_max and RC ±33-38% SUV_max in bone and nodal lesions. These estimates are an important aspect of ⁶⁸Ga-PSMA-HBED-CC as a quantitative imaging biomarker. These estimates are similar to those reported for ¹⁸F-FDG, suggesting that ⁶⁸Ga-PSMA-HBED-CC PET/CT may be useful in monitoring response to therapy.

Background: Accurate definition of the extent and severity of left-ventricular assist device (LVAD) infection may facilitate therapeutic decision making and targeted surgical intervention. Here, we explore the value of ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) for guidance of patient management. Methods: Fifty-seven LVAD-carrying patients received 85 whole-body ¹⁸F-FDG PET/CT scans for the work-up of device infection. Clinical follow-up was obtained over a period of up to two years. Results: PET/CT showed various patterns of infectious involvement of the 4 LVAD components: driveline entry point (77% of cases), subcutaneous driveline path (87%), pump pocket (49%) and outflow tract (58%). Driveline smears revealed staphylococcus or pseudomonas strains as the underlying pathogen in a majority of cases (48 and 34%, respectively). At receiver-operating characteristics analysis, an ¹⁸F-FDG standardized uptake value (SUV) >2.5 was most accurate to identify smear-positive driveline infection. Infection of 3 or all 4 LVAD components showed a trend towards lower survival vs infection of 2 or less components (P = 0.089), while involvement of thoracic lymph nodes was significantly associated with adverse outcome (P = 0.001 for nodal SUV above vs below median). Finally, patients that underwent early surgical revision within 3 months after PET/CT (n = 21) required significantly less inpatient hospital care during follow-up when compared to those receiving delayed surgical revision (n = 11; p<0.05). Conclusion: Whole-body ¹⁸F-FDG PET/CT identifies the extent of LVAD infection and predicts adverse outcome. Initial experience suggests that early image-guided surgical intervention may facilitate a less complicated subsequent course.

2-Deoxy-2-[18F]fluoro-D-glucose (2-FDG) with positron emission tomography (2-FDG-PET) is undeniably useful in the clinic, among other uses, to monitor change over time using the 2-FDG standardized uptake values (SUV) metric. This report suggests some potentially serious caveats for this and related roles for 2-FDG PET. Most critical is the assumption that there is an exact proportionality between glucose metabolism and 2-FDG metabolism, called the lumped constant, LC. This report describes that LC is not constant for a specific tissue and may be variable before and after disease treatment. The purpose of this work is not to deny the clinical value of 2-FDG PET; it is a reminder that when one extends the use of an appropriately qualified imaging method, new observations may arise and further validation would be necessary. Current understanding of glucose-based energetics in vivo is based on the quantification of glucose metabolic rates with 2-FDG PET, a method that permits the non-invasive assessment in various human disorders. However, 2-FDG is only a good substrate for facilitated-glucose transporters (GLUTs) but not for sodium-dependent glucose co-transporters (SGLTs), which have recently been shown to be distributed in multiple human tissues. Thus, the GLUT-mediated in vivo glucose utilization measured by 2-FDG PET would be blinded to the potentially substantial role of functional SGLTs in glucose transport and utilization. Therefore, in these circumstances the 2-FDG LC used to quantify in vivo glucose utilization should not be expected to remain constant. 2-FDG LC variations have been especially significant in tumors, particularly at different stages of cancer development, affecting the accuracy of quantitative glucose measures and potentially limiting the prognostic value of 2-FDG, as well as its accuracy in monitoring treatments. SGLT-mediated glucose transport can be estimated using α-methyl-4-deoxy-4-[18F]fluoro-D-glucopyranoside (Me-4FDG). Utilizing both 2-FDG and Me-4FDG should provide a more complete picture of glucose utilization via both GLUT and SGLT transporters in health and disease stages. Given the widespread use of 2-FDG PET to infer glucose metabolism, appreciating the potential limitations of 2-FDG as a surrogate for glucose metabolic rate and the potential reasons for variability in LC is relevant. Even when the readout for the 2-FDG PET study is only an SUV parameter, variability in LC is important, particularly if it changes over the course of disease progression (e.g., an evolving tumor).

Due to improvements in quantitative SPECT/CT, voxel-based dosimetry for radionuclide therapies has aroused growing interest as it promises the visualization of absorbed doses at a voxel level. In this work, SPECT/CT-based voxel-based dosimetry of a 3D printed 2-compartment kidney phantom was performed, and the resulting absorbed dose distributions were examined. Additionally, the potential of the PETPVC partial-volume correction tool was investigated. Methods: Both kidney compartments (70% cortex, 30% medulla) were filled with different activity concentrations and SPECT/CT imaging was performed. The images were reconstructed using varying reconstruction settings (iterations, subsets, and post-filtering). Based on these activity concentration maps, absorbed dose distributions were calculated with pre-calculated ¹⁷⁷Lu voxel S values and an empirical kidney half-life. An additional set of absorbed doses was calculated after applying PETPVC for partial-volume correction of the SPECT reconstructions. Results: SPECT/CT imaging blurs the two discrete sub-organ absorbed dose values into a continuous distribution. While this effect is slightly improved by applying more iterations, it is enhanced by additional post-filtering. By applying PETPVC, the absorbed dose values are separated into 2 peaks. Although this leads to a better agreement between SPECT/CT-based and nominal values, considerable discrepancies remain. In contrast to the calculated nominal absorbed doses of 7.8/1.6 Gy (cortex/medulla), SPECT/CT-based voxel-level dosimetry resulted in mean absorbed doses ranging from 3.0-6.6 Gy (cortex) and 2.7-5.1 Gy (medulla). PETPVC led to improved ranges of 6.1-8.9 Gy (cortex) and 2.1-5.4 Gy (medulla). Conclusion: Our study shows that ¹⁷⁷Lu quantitative SPECT/CT imaging leads to voxel-based dose distributions largely differing from the real organ distribution. SPECT/CT imaging and reconstruction deficiencies might directly translate into unrealistic absorbed dose distributions, thus questioning the reliability of SPECT-based voxel-level dosimetry. Therefore, SPECT/CT reconstructions should be adapted to ensure an accurate quantification of the underlying activity and, therefore, absorbed dose in a volume-of-interest of the expected object size (e.g. organs, organ sub-structures, lesions or voxels). As an example, PETPVC largely improves the match between SPECT/CT-based and nominal dose distributions. In conclusion, the concept of voxel-based dosimetry should be treated with caution. Specifically, it should be kept in mind that the absorbed dose distribution is mainly a convolved version of the underlying SPECT reconstruction.

Purpose: To evaluate ¹¹C-choline PET/CT detection performance for biochemically recurrent prostate cancer (PCa) in a large non-European cohort in the context of emerging evidence for PSMA PET in this setting, and to map patterns of PCa recurrence. Methods: We retrospectively analyzed ¹¹C-choline PET/CT scans from 287 patients who were enrolled onto an imaging protocol based on rising prostate-specific antigen (PSA) levels (mean:3.43 ng/mL, median:0.94 ng/mL, range:0.15–89.91) and suspected recurrent PCa. A total of 187 patients had undergone primary radical prostatectomy (RP; 79/187 had secondary radiotherapy), 30 had undergone primary radiotherapy (RT), and 70 had persistent PSA elevation after receiving initial treatment (69 post-RP, 1 post-RT). The level of suspicion for recurrence on ¹¹C-choline PET/CT was scored (0:negative, 1:equivocal, 2:positive) by two readers. The correlation between ¹¹C-choline PET/CT positivity and initial treatment, Gleason score, NCCN stage, PSA level, PSA doubling time, PSA velocity, and time between initial treatment and PET imaging was evaluated. Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria were used to map ¹¹C-choline recurrence patterns. Results: Considering scores 1 and 2 as positives, consensus between the two readers deemed 66% of the ¹¹C-choline PET/CT scans as positive. When sorted by PSA level, 45% of patients with PSA<0.5 ng/mL, 56% of patients with PSA 0.5–0.99 ng/mL, 70% of patients with PSA 1.0–1.99 ng/mL, and 90% of patients with PSA ≥2.0 ng/mL scored either 1 or 2 on ¹¹C-choline PET/CT scans. When considering scores of 2 only, ¹¹C-choline PET/CT positivity was 54% (28%, 46%, 62%, and 81%, respectively, for patients with PSA <0.5 ng/mL, 0.5–0.99 ng/mL, 1.0–1.99 ng/mL, and ≥2.0 ng/mL). In multivariate analysis, only the PSA level was significantly associated with scan positivity. Pattern analysis showed that pelvic lymph nodes were the most common site of recurrence, and 28% of patients had ¹¹C-choline-positive suspected recurrences outside the initial treatment field. Conclusion: ¹¹C-choline PET/CT can detect PCa recurrence even among patients with low PSA levels when interpretation accounts for the clinical context, providing a certain pre-test probability. Until PSMA agents are fully approved for PCa, choline PET/CT may provide clinical utility.

⁶⁸Ga-DOTATOC-PET/MRI (⁶⁸Gallium-DOTATOC-positron emission tomography/magnetic resonance imaging) combines the advantages of PET in the acquisition of metabolic-functional information with the high soft tissue contrast of MRI. Standardized uptake values (SUV) in tumors were suggested as a measure of somatostatin receptor expression. A challenge with receptor ligands is, that the distribution volume is confined to tissues with tracer-uptake, potentially limiting SUV quantification. In this study, different functional, three-dimensional (3D) SUV, apparent diffusion coefficient (ADC) parameters and arterial tumor enhancement were tested for the characterization of gastroendopancreatic neuroendocrine tumors (GEP-NET). Methods: For this single-center, cross-sectional study, 22 patients with 24 histologically confirmed GEP-NET lesions (15 men/7 women; median, 61 years, range, 43-81 years), who received hybrid ⁶⁸Ga-DOTA-PET/MRI examinations at 3T between January 2017 and July 2019 met eligibility criteria. SUVs, tumor-to-background ratios (TBR), the total functional tumor volume (TFTV), ADCmean and ADCmin were measured based on volumes of interest (VOI) and examined with receiver operating characteristic analysis to determine cut-off values for differentiation between low and intermediate grade GEP-NET. Spearman’s rank correlation coefficients were used to assess correlations between functional imaging parameters. Results: The ratio of PET-derived SUVmean and diffusion-weighted imaging (DWI)-derived ADCmin was introduced as a combined variable to predict tumor grade, outperforming single predictors. Based on a threshold ratio of 0.03 to be exceeded, tumors could be classified as grade 2 with a sensitivity of 86% and specificity of 100%. SUV and functional ADC values as well as arterial contrast enhancement parameters showed non-significant and mostly negligible correlations. Conclusion: As receptor density and tumor cellularity appear to be independent, potentially complementary phenomena, the combined PET/MRI ratio SUVmean/ADCmin may be used as a novel biomarker, allowing to differentiate between grade 1 and 2 GEP-NET.

Prediction of post-operative pulmonary function in lung cancer patients before tumor resection is essential for patient selection for surgery and is conventionally done with a non-imaging segment counting method (SC) or a two-dimensional planar lung perfusion scintigraphy (PS). The purpose of this study was to compare quantitative analysis of PS to single photon emission computed tomography/computed tomography (SPECT/CT) and to estimate the accuracy of SC, PS and SPECT/CT in predicting post-operative pulmonary function in patients undergoing lobectomy. Methods: Seventy-five non-small cell lung cancer (NSCLC) patients planned for lobectomy were prospectively enrolled (68% males, average age 68.1±8 years ). All patients completed pre-operative forced expiratory volume capacity (FEV1), diffusing capacity of the lung for carbon monoxide (DLCO), Tc99m-MAA lung perfusion scintigraphy with PS and SPECT/CT quantification. A subgroup of 60 patients underwent video-assisted thoracoscopic (VATS) lobectomy and measurement of post-operative FEV1 and DLCO. Relative uptake of the lung lobes estimated by PS and SPECT/CT were compared. Predicted post-operative FEV1 and DLCO were derived from SC, PS and SPECT/CT. Prediction results were compared between the different methods and the true post-operative measurements in patients who underwent lobectomy. Results: Relative uptake measurements differed significantly between PS and SPECT/CT in right lung lobes, with a mean difference of -8.2±3.8, 18.0±5.0 and -11.5±6.1 for right upper, middle and lower lobes respectively (p<0.001). The differences between the methods in the left lung lobes were minor with a mean difference of -0.4±4.4 (p>0.05) and -2.0±4.0 (p<0.001) for left upper and lower lobes respectively. No significant difference and strong correlation (R=0.6-0.76, p<0.001) were found between predicted post-operative lung function values according to SC, PS, SPECT/CT and the actual post-operative FEV1 and DLCO. Conclusion: Although lobar quantification parameters differed significantly between PS and SPECT/CT, no significant differences were found between the predicted post-operative lung function results derived from these methods and the actual post-operative results. The additional time and effort of SPECT/CT quantification may not have an added value in patient selection for surgery. SPECT/CT may be advantageous in patients planned for right lobectomies but further research is warranted.

Triple negative breast cancer (TNBC) remains the most aggressive subtype of breast cancer leading to the worst prognosis. Because current therapeutic approaches lack efficacy, there is a clinically unmet need for effective treatment alternatives. Herein, we demonstrate a promising strategy utilizing a tumor-targeting alkylphosphocholine (NM600) radiolabeled with ¹⁷⁷Lu for targeted radionuclide therapy (TRT) of TNBC. In two murine syngeneic models of TNBC, we confirmed excellent tumor targeting and rapid normal tissue clearance of the PET imaging analog ⁸⁶Y-NM600. Based on longitudinal PET/CT data acquired with ⁸⁶Y-NM600, we estimated the dosimetry of therapeutic ¹⁷⁷Lu-NM600, which showed larger absorbed doses in the tumor compared to normal tissues. Administration of ¹⁷⁷Lu-NM600 resulted in significant tumor growth inhibition and prolonged overall survival in mice bearing syngeneic 4T07 and 4T1 tumors. Complete response was attained in 60% of 4T07 bearing mice, but animals carrying aggressive 4T1 tumor grafts succumbed to metastatic progression. The injected activities used for treatment (9.25 and 18.5 MBq) were well tolerated, and only mild transient cytopenia was noted. Overall, our results suggest that ¹⁷⁷Lu-NM600 TRT has potential for treatment of TNBC and merits further exploration in a clinical setting.

Introduction: A new pattern of response, so-called hyper-progressive disease (HPD), is emerging during treatment with immune checkpoint inhibitors (ICI). Our aim was to investigate the prevalence of such phenomenon and to assess its association with clinical variables and metabolic parameters by ¹⁸F-fludeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT). Methods: Data from 50 patients (34 male, 16 female, median age 73) with non-small cell lung carcinoma (NSCLC) and treated with ICI were prospectively collected. All patients underwent contrast-enhanced CT, ¹⁸F-FDG PET/CT, and complete peripheral blood sample at baseline before ICI. HPD was defined according to clinical and radiologic criteria. Because of the rapid disease progression or worsening of clinic conditions, radiologic response assessment was available for 46 patients. OS were analyzed using the Kaplan–Meier method and the log-rank test. A Cox proportional hazards regression analysis was used to evaluate factors independently associated with OS. Median follow-up was 12.4 months (9.7-15.2 months). Results: We identified the following response categories: 10 cases as complete/partial response (CR/PR), 17 cases with stable disease (SD), 5 patients with progressive disease (PD), and 14 with HPD. Among metabolic parameters we observed a statistically significant association between HPD status and tumor burden, expressed by both MTV (756.1ml for HPD vs 475.6ml for non-HPD, P = 0.011) and TLG (287.3 for HPD vs 62.1 for non-HPD, P = 0.042). Among clinical variables, 12/14 patients (85.7%) within the HPD group compared with 8/32 patients (25%) in the non-HDP group had more than two metastatic sites (p<0.001). In addition, the derived neutrophil-to-lymphocyte ratio (dNLR) and platelet counts was significantly associated with HPD status (P = 0.038, P = 0.025, respectively). Survival analysis showed a median OS of 4 months for HPD group compared with 15 months within non-HPD patients (P = 0.003). Likewise, median OS was significantly different when we considered all the response categories: CR/PR, SD, PD, and HPD (P = 0.001). Finally, Multivariate analysis identified MTV and dNLR as independent predictors for OS. Conclusion: Our results suggest that the use of ICI might represent a concern in patients with high metabolic tumor burden and inflammatory indexes at baseline. However Additional studies are needed.

Rationale: The presence of metastasis in local lymph nodes (LNs) is a key factor influencing choice of therapy and prognosis in cervical and endometrial cancers; therefore, the exploration of sentinel LNs (SLNs) is highly important. Currently, however, SLN mapping requires LN biopsy for pathologic evaluation, since there are no clinical imaging approaches that can identify tumor-positive LNs in early stages. Staging lymphadenectomy poses risks, such as leg lymphedema or lymphocyst formation. Furthermore, in 80% to 90% of patients, the explored LNs are ultimately tumor free, meaning the vast majority of patients are unnecessarily subjected to lymphadenectomy. Methods: Current lymphoscintigraphy methods only identify the anatomic location of the SLNs but do not provide information on their tumor status. There are no non-invasive methods to reliably identify metastases in LNs before surgery. We have developed positron lymphography (PLG), a method to detect tumor-positive LNs, where ¹⁸F-fluoro-2-deoxy-D-glucose (¹⁸F-FDG) is injected interstitially into the uterine cervix the day of surgery, and its rapid transport through the lymphatic vessels to the SLN is then visualized with dynamic positron emission tomography/computed tomography (PET/CT). We previously showed that PLG was able to identify metastatic LNs in animal models. Here, we present the first results from our pilot clinical trial (clinical trials identifier NCT02285192) in 23 patients with uterine or cervical cancer. On the morning of surgery, ¹⁸F-FDG was injected into the cervix, followed by an immediate dynamic PET/CT scan of the pelvis and a delayed 1-h whole body scan. Results: There were 3 (15%) node-positive cases on final pathologic analysis, and all LNs (including one with a focus of only 80 tumor cells) were identified by PLG except one node with an 11-mm micrometastasis. There were 2 (10%) false-positive cases with PLG, in which final pathology of the corresponding SLNs was negative for tumor. Methods: Current lymphoscintigraphy methods only identify the anatomic location of the SLNs but do not provide information on their tumor status. There are no non-invasive methods to reliably identify metastases in LNs before surgery. We have developed positron lymphography (PLG), a method to detect tumor-positive LNs, where ¹⁸F-fluoro-2-deoxy-D-glucose (¹⁸F-FDG) is injected interstitially into the uterine cervix the day of surgery, and its rapid transport through the lymphatic vessels to the SLN is then visualized with dynamic positron emission tomography/computed tomography (PET/CT). We previously showed that PLG was able to identify metastatic LNs in animal models. Here, we present the first results from our pilot clinical trial (clinical trials identifier NCT02285192) in 23 patients with uterine or cervical cancer. On the morning of surgery, ¹⁸F-FDG was injected into the cervix, followed by an immediate dynamic PET/CT scan of the pelvis and a delayed 1-h whole body scan. Results: There were 3 (15%) node-positive cases on final pathologic analysis, and all LNs (including one with a focus of only 80 tumor cells) were identified by PLG, except for one node with an 11-mm micrometastasis. There were 2 (10%) false-positive cases with PLG, in which final pathology of the corresponding SLNs was negative for tumor. Conclusion: This first-in-human study of PLG in women with uterine and cervical cancer demonstrates its feasibility and its ability to identify patients with nodal metastases, and warrants further evaluation in additional studies.

[S-Methyl-¹¹C](±)-7-methoxy-3-(4-(4-(methylthio)phenyl)butyl)-2,3,4,5-tetrahydro-1H-benzo[d]azepin-1-ol (¹¹C-NR2B-SMe) and its enantiomers were synthesized as candidates for imaging the NR2B subunit within the N-methyl-D-aspartate receptor with positron emission tomography (PET). Methods: Brains were scanned with PET for 90 min after intravenous injection of one of the candidate radioligands into rats. To detect any NR2B specific binding of radioligand in brain, various pre-blocking or displacing agents were evaluated for their impact on the PET brain imaging data. Radiometabolites from brain and other tissues were measured ex vivo and in vitro. Results: Each radioligand gave high early whole brain uptake of radioactivity, followed by a brief fast decline and then a slow final decline. ¹¹C-(S)-NR2B-SMe was studied extensively. Ex vivo measurements showed that radioactivity in rat brain at 30 min after radioligand injection was virtually unchanged radioligand. Only less lipophilic radiometabolites appeared in plasma. High-affinity NR2B ligands, Ro-25-6981, ifenprodil, and CO10124, showed increasing preblock of whole brain radioactivity retention with increasing dose (0.01 to 1.25 mg/kg, i.v.). Five 1 antagonists (FTC146, BD1407, F3, F4, and NE100) and four 1 agonists ((+)-pentazocine, (±)-PPCC, PRE-084, (+)-SKF10047) were ineffective preblocking agents, except FTC146 and F4 at high dose. Two potent 1 receptor agonists, TC1 and SA4503, showed dose-dependent preblocking effects in the presence or absence of pharmacological 1 receptor blockade with FTC146. Conclusion: ¹¹C-(S)-NR2B-SMe has adequate NR2B-specific PET signal in rat brain to warrant further evaluation in higher species. TC1 and SA4503 likely have off-target binding to NR2B in vivo.

Quantitative evaluation of radiolabeled Prostate-Specific Membrane Antigen (PSMA) PET scans may be used to monitor treatment response in patients with prostate cancer (PCa). To interpret longitudinal differences in PSMA uptake, the intrinsic variability of tracer uptake in PCa lesions needs to be defined. The aim of this study was to investigate the repeatability of quantitative ¹⁸F-DCFPyL (a second generation ¹⁸F-PSMA-ligand) PET/CT measurements in patients with PCa. Methods: Twelve patients with metastatic PCa were prospectively included, of which 2 were excluded from final analyses. Patients received two whole-body ¹⁸F-DCFPyL PET/CT scans (median dose 317 MBq; uptake time 120 min), within median 4 days (range 1-11 days). After semi-automatic (isocontour-based) tumor delineation, the following lesion-based metrics were derived: Tumor-to-Blood ratio (TBRmean, TBRpeak, and TBRmax), Standardized Uptake Value (SUVmean, SUVpeak, SUV_max, normalized to bodyweight), tumor volume, and total lesion tracer uptake (TLU). Additionally, patient-based Total Tumor Volume (sum of PSMA-positive tumor volumes; TTV) and Total Tumor Burden (sum of all lesion TLUs; TTB) were derived. Repeatability was analyzed using repeatability coefficients (RC) and intra-class correlations (ICC). Additionally, the effect of point spread function (PSF) image reconstruction on the repeatability of uptake metrics was evaluated. Results: In total, 36 ¹⁸F-DCFPyL PET positive lesions were analyzed (up to 5 lesions per patient). RCs of TBRmean, TBRpeak, and TBRmax were 31.8%, 31.7%, and 37.3%, respectively. For SUVmean, SUVpeak, SUV_max the RCs were 24.4%, 25.3% and 31.0%, respectively. All ICC were ≥0.97. Tumor volume delineations were well repeatable, with RC 28.1% for individual lesion volumes and RC 17.0% for TTV. TTB had a RC of 23.2% and 33.4%, when based on SUVmean and TBRmean, respectively. Small lesions (<4.2mL) had worse repeatability for volume measurements. The repeatability of SUVpeak, TLU, and all patient-level metrics were not affected by PSF-reconstruction. Conclusion: ¹⁸F-DCFPyL uptake measurements are well repeatable and can be used for clinical validation in future treatment response assessment studies. Patient-based TTV may be preferred for multicenter studies since its repeatability was both high and robust to different image reconstructions.

The impact of prostate specific membrane antigen (PSMA) PET/CT on management of prostate cancer (PCa) patients with biochemical recurrence (BCR) is well-established. However, whether and how PSMA PET/CT affects the management of patients undergoing scans for other clinical indications remains unknown. The goal of this study was to determine the impact of ⁶⁸Ga-PSMA-11 PET/CT on initial and subsequent management decisions in a cohort of PCa patients referred for various indications ("basket trial") excluding the two main classical indications: BCR and presurgical staging. Methods: This was a prospective study of 197 patients that aimed to determine the impact of ⁶⁸Ga-PSMA-11 PET/CT on PCa stage and management. Indications for PSMA PET/CT were: initial staging of non-surgical candidates (30 patients) and re-staging after definitive treatment (n = 168). The re-staging cohort comprised: patients re-staged with known advanced metastatic disease (n = 103), after androgen deprivation therapy only (n = 16), after surgery with serum PSA levels <0.2 ng/ml (n = 13), after radiation therapy (RT) not meeting the Phoenix criteria (n = 22) and after other primary local treatments [i.e. high-intensity focused ultrasound (HIFU), focal laser ablation, cryoablation, hyperthermia or irreversible electroporation] (n = 13). Patients with BCR and candidates for curative surgery were excluded. Impact on management was assessed using pre- and post-PET questionnaires completed by referring physicians, electronic chart review and/or patient telephone encounters. Results: PSMA PET/CT changed disease stage in 135/197 (69%) patients (38% up-stage, 30% down-stage and no changes in stage in 32%). Management was affected in 104/182 (57%) patients. Specifically, PSMA PET/CT impacted management of patients who were re-staged after RT without meeting the Phoenix criteria for BCR, after other definitive local treatments and with advanced metastatic disease in 13/18 (72%), 8/12 (67%) and 59/96 (61%), respectively. Conclusion: PSMA PET/CT has a profound impact on stage and management of PCa patients outside of the two main classical indications (BCR and presurgical staging) across all examined clinical scenarios.

Purpose: To assess the performance of full dose (FD) positron emission tomography (PET) image synthesis in both image and projection space from low-dose (LD) PET images/sinograms without sacrificing diagnostic quality using deep learning techniques. Methods: Clinical brain PET/CT studies of 140 patients were retrospectively employed for LD to FD PET conversion. 5% of the events were randomly selected from the FD list-mode PET data to simulate a realistic LD acquisition. A modified 3D U-Net model was implemented to predict FD sinograms in the projection-space (PSS) and FD images in image-space (PIS) from their corresponding LD sinograms/images, respectively. The quality of the predicted PET images was assessed by two nuclear medicine specialists using a five-point grading scheme. Quantitative analysis using established metrics including the peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), region-wise standardized uptake value (SUV) bias, as well as first-, second- and high-order texture radiomic features in 83 brain regions for the test and evaluation dataset was also performed. Results: All PSS images were scored 4 or higher (good to excellent) by the nuclear medicine specialists. PSNR and SSIM values of 0.96 ± 0.03, 0.97 ± 0.02 and 31.70 ± 0.75, 37.30 ± 0.71 were obtained for PIS and PSS, respectively. The average SUV bias calculated over all brain regions was 0.24 ± 0.96% and 1.05 ± 1.44% for PSS and PIS, respectively. The Bland-Altman plots reported the lowest SUV bias (0.02) and variance (95% CI: -0.92, +0.84) for PSS compared with the reference FD images. The relative error of the homogeneity radiomic feature belonging to the Grey Level Co-occurrence Matrix category was -1.07 ± 1.77 and 0.28 ± 1.4 for PIS and PSS, respectively Conclusion: The qualitative assessment and quantitative analysis demonstrated that the FD PET prediction in projection space led to superior performance, resulting in higher image quality and lower SUV bias and variance compared to FD PET prediction in the image domain.

Objective: To develop a novel approach to generate individual maps of white matter (WM) innate immune cell activation using ¹⁸F-DPA-714 translocator protein (TSPO) positron emission tomography (PET), and to explore the relationship between these maps and individual trajectories of disability worsening in patients with multiple sclerosis (MS). Methods: Patients with MS (n = 37), whose trajectories of disability worsening over the 2 years preceding study entry were calculated, and healthy controls (n = 19) underwent magnetic resonance magnetic and ¹⁸F-DPA-714 PET. A threshold of significant activation of ¹⁸F-DPA-714 binding was calculated with a voxel-wise randomized permutation-based comparison between patients and controls, and used to classify each WM voxel in patients as characterized by a significant activation of innate immune cells (DPA+) or not. Individual maps of innate immune cell activation in the WM were employed to calculate the extent of activation in WM regions-of-interests and to classify each WM lesion as "DPA-active", "DPA-inactive" or "unclassified". Results: Compared with the WM of healthy controls, patients with MS had a significantly higher percentage of DPA+ voxels in the normal-appearing WM, (NAWM in patients=24.9±9.7%; WM in controls=14.0±7.8%, p<0.001). In patients with MS, the percentage of DPA+ voxels showed a significant increase from NAWM, to perilesional areas, T2 hyperintense lesions and T1 hypointense lesions (38.1±13.5%, 45.0±17.9%, and 51.9±22.9%, respectively, p<0.001). Among the 1379 T2 lesions identified, 512 were defined as DPA-active and 258 as DPA-inactive. A higher number of lesions classified as DPA-active (OR=1.13, P = 0.009), a higher percentage of DPA+ voxels in the NAWM (OR=1.16, P = 0.009) and in T1-spin-echo lesions (OR=1.06, P = 0.036), were significantly associated with a retrospective more severe clinical trajectory in patients with MS. Conclusion: A more severe trajectory of disability worsening in MS is associated with an innate immune cells activation inside and around WM lesions. ¹⁸F-DPA-714 PET may provide a promising biomarker to identify patients at risk of severe clinical trajectory.

Respiratory motion during the CT and PET parts of a PET/CT scan leads to imperfect alignment of anatomical features seen by the two modalities. In this work, we concentrate on the effects of motion during CT. We propose a novel approach for improving the alignment. Methods: Respiratory waveform data were gathered during the CT and PET parts of 28 PET/CT scans of cancer patients with 40 lesions up to 3 cm size in the lung or upper abdomen. PET list-mode data were reconstructed by three reconstruction methods: PET/static, PET/EX or end of expiration (OncoFreeze), and a novel PET/matched method that used both waveforms. The three methods were compared. The distance between tumor positions in PET and CT were characterized in visual interpretation by physicians as well as quantitatively. Tumor standardized uptake values (SUV_max and SUVpeak) were determined relative to SUV based on the static method. Image noise was evaluated in the liver and compared to PET/static. Results: In visual interpretation, the rate of good alignment was 13/21, 13/23 and 18/21 for PET/static, PET/EX and PET/matched methods, respectively, and the mean PET-CT distances were 3.5, 5.1 and 2.8 mm. In visual comparison with PET/EX, the rate of good alignment was increased in 1/10 and 7/10 cases for PET/static and PET/matched. SUV_max was on average 21% higher than PET/static when either PET/EX or PET/matched was used. SUVpeak was 12% higher. Image noise in the liver was 15% higher than static for the PET/EX method, and 40% higher for PET/matched; that is, noise was much lower than in gated PET. Conclusion: Acquiring respiratory waveforms both in PET (as in the current state of the art) and in CT (an unusual key step in this approach) has the potential to improve the alignment of PET and CT images. A proposed method for using this information was tested. Improved alignment was demonstrated.

Studies demonstrate that the investigational ⁶⁴Cu-DOTATATE radiopharmaceutical may provide diagnostic and logistical benefits over available imaging agents for patients with somatostatin receptor (SSTR)-positive neuroendocrine tumors (NETs). Accordingly, we aimed to prospectively determine the lowest dose of ⁶⁴Cu-DOTATATE that facilitates diagnostic quality scans and evaluated the diagnostic performance and safety in a phase III study of patients with SSTR-expressing NETs. Methods: A dose-ranging study was conducted in 12 patients divided into 3 dose groups (111 MBq [3.0 mCi], 148 MBq [4.0 mCi], and 185 MBq [5.0 mCi] ± 10%) to determine the lowest dose of ⁶⁴Cu-DOTATATE that produced diagnostic quality PET/CT images. Using the ⁶⁴Cu-DOTATATE dose identified in the dose-ranging study, 3 independent nuclear medicine physicians who were blinded to all clinical information read PET/CT scans from 21 healthy volunteers and 42 NET-positive patients to determine those with "Disease" and "No Disease," as well as "Localized" versus "Metastatic" status. Blinded-reader evaluations were compared to a patient-specific standard of truth (SOT), which was established by an independent oncologist who used all previously available pathology, clinical, and conventional imaging data. Diagnostic performance calculated for ⁶⁴Cu-DOTATATE included sensitivity, specificity, negative predictive value, positive predictive value, and accuracy. Inter- and intra-reader reliability, as well as ability to differentiate between localized and metastatic disease, was also determined. Adverse events (AEs) were recorded from ⁶⁴Cu-DOTATATE injection through 48 hours post-injection. Results: The dose-ranging study identified 148 MBq (4.0 mCi) as the optimal dose to obtain diagnostic quality PET/CT images. Following database lock, diagnostic performance from an initial majority read of the 3 independent readers showed a significant 90.9% sensitivity (P = 0.0042) and 96.6% specificity (P < 0.0001) for detecting NETs, which translated to a 100.0% sensitivity and 96.8% specificity after correcting for an initial SOT misread. Excellent inter- and intra-reader reliability, as well as ability to distinguish between localized and metastatic disease, was also noted. No AEs were related to ⁶⁴Cu-DOTATATE, and no serious AEs were observed. Conclusion: ⁶⁴Cu-DOTATATE PET/CT is a safe imaging technique that provides high-quality and accurate images at a dose of 148 MBq (4.0 mCi) for the detection of somatostatin-expressing NETs.

Galectins are carbohydrate-binding proteins overexpressed in bladder cancer (BCa) cells. Dendritic galactose moieties have a high affinity for galectin-expressing tumor cells. We radiolabeled a dendritic galactose carbohydrate with fluorine-18 – ¹⁸F-labeled galactodendritic unit 4 – and examined its potential in imaging urothelial malignancies. Methods: The ¹⁸F-labeled 1st generation galactodendritic unit 4 was obtained from its tosylate precursor. We conducted in vivo studies in galectin-expressing UMUC3 orthotopic BCa model to determine the ability of ¹⁸F-labeled galactodendritic unit 4 to image BCa. Results: Intravesical administration of ¹⁸F-labeled galactodendritic unit 4 allowed specific accumulation of the carbohydrate radiotracer in galectin-1 overexpressing UMUC3 orthotopic tumors when imaged with PET. The ¹⁸F-labeled galactodendritic unit 4 was not found to accumulate in non-tumor murine bladders. Conclusion: The ¹⁸F-labeled galactodendritic unit 4 and similar analogs may be clinically relevant and exploitable for PET imaging of galectin-1 overexpressing bladder tumors.

Peptide receptor radiotherapy using ¹⁷⁷Lu-labeled somatostatin ligand analogs is a well-established treatment for neuroendocrine tumors (NET), with ¹⁷⁷Lu-DOTATATE having acquired marketing authorization in Europe and the USA. The investigation of the pharmacokinetics of those radiopharmaceuticals in vivo in humans is crucial for personalized treatment management and understanding of treatment effects. It requires input data on the in vivo stability of the radiopharmaceuticals in blood and plasma. The work presented here is devoted to the investigation of in vivo stability of ¹⁷⁷Lu-DOTATATE in humans affected by NET. Unexpectedly, fast metabolism of the radiopharmaceutical was observed, with fraction of intact ¹⁷⁷Lu-DOTATATE in plasma decreasing rapidly to 23±5% (mean ± SD) at 24 h and 1.7±0.9% at 96 h after injection.

Rationale: The effects of tobacco smoking on the brain’s immune system are not well elucidated. While nicotine is immunosuppressive, other constituents in tobacco smoke have inflammatory effects. Positron Emission Tomography (PET) imaging of the 18-kDa translocator protein (TSPO) provide a biomarker for microglia, the brain’s primary immunocompetent cells. This work compared brain TSPO levels in 20 tobacco smokers (abstinent for at least 2 hours) and 20 nonsmokers using a fully quantitative modeling approach for the first time. Methods: [¹¹C]PBR28 PET scans were acquired with arterial blood sampling to estimate the metabolite-corrected input function. [¹¹C]PBR28 volumes of distribution (V_T) were estimated throughout the brain with multilinear analysis. Results: Statistical analyses revealed no evidence for significant differences in regional [¹¹C]PBR28 V_T between smokers and non-smokers (whole-brain Cohen’s d=0.09) despite adequate power to detect medium effect sizes. Conclusion: These findings inform previous PET studies reporting lower TSPO radiotracer concentrations in brain (measured as standardized uptake value, SUV) of tobacco smokers compared to nonsmokers by demonstrating the importance of accounting for radiotracer concentrations in plasma. These findings suggest that compared to nonsmokers, smokers have comparable TSPO levels in brain. Additional work with other biomarkers is needed to fully characterize effects of tobacco smoking on the brain’s immune system.

We aimed to evaluate the diagnostic performance of ¹⁸F-FDG PET/CT for the detection of post-transplantation lymphoproliferative disorder (PTLD) in a pediatric population and explore its feasibility during response assessment. Methods: This retrospective study included 28 pediatric transplant recipients who underwent a total of 32 ¹⁸F-FDG PET/CT scans due to clinical suspicion of PTLD within an 8-year period. Pathology reports and 2-year follow-up were used as reference standard. Twenty-one response assessment ¹⁸F-FDG PET/CT scans were re-evaluated according to the Lugano criteria. Results: The diagnosis of PTLD was established in 14 patients (49%). Sensitivity, specificity, positive predictive value, and negative predictive value of ¹⁸F-FDG PET/CT for the detection of PTLD in children with a clinical suspicion of this disease, was 50% (7/14), 100% (18/18), 100% (7/7), and 72% (18/25), respectively. False-negative results occurred in patients with PTLD in the Waldeyer’s ring, cervical lymph nodes or small bowel with either non-destructive or polymorphic PTLD. Two of 5 interim ¹⁸F-FDG PET/CT scans and 3 of 9 end-of-treatment ¹⁸F-FDG PET/CT scans were false-positive. Conclusion: ¹⁸F-FDG PET/CT had good specificity and positive predictive value but low to moderate sensitivity and negative predictive value for the detection of PTLD in a 28 pediatric patient cohort with a clinical suspicion of this disease. False-negative results were confirmed in the Waldeyer’s ring, cervical lymph nodes and small bowel with either non-destructive or polymorphic PTLD subtypes. ¹⁸F-FDG PET/CT appears to have a limited role in the response assessment setting of pediatric PTLD, given the observed high proportions of false-positives both at interim and end-of-treatment evaluations.

The purpose of this study was to investigate the feasibility and diagnostic efficacy of ⁶⁸Ga-PSMA positron emission tomography/computed tomography (PET/CT) combined with PET-ultrasound image-guided biopsy in the diagnosis of prostate cancer. Methods: A total of 31 patients with previously negative prostate biopsy, but persistent elevated serum prostate specific antigen (PSA), were imaged with a ⁶⁸Ga-labeled prostate-specific membrane antigen (PSMA) PET/CT ligand prior to undergoing repeat prostate biopsy. Based on the proposed PROMISE criteria, PSMA PET/CT results were interpreted as negative (miPSMA-ES 0-1) or positive (miPSMA-ES 2-3). All patients underwent standard template systematic biopsy with up to four additional PSMA PET-ultrasound fusion image-guided biopsy cores. The sensitivity, specificity, positive and negative predictive values, and accuracy of PSMA PET/CT were determined. In addition, the correlation between miPSMA-ES and detection rate of prostate cancer was also analyzed. Univariate logistic regression models were established using PSMA PET/CT semi-quantitative analysis parameters to predict the outcome of repeat prostate biopsy. Results: The median age of patients was 65 years (range 53-81), and the median PSA level was 18.0 ng/ml (range 5.48-49.77 ng/ml). Prostate cancer was detected in 15/31 patients (48.4%) and 12/31 patients (38.7%) had clinically significant disease. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of ⁶⁸Ga-PSMA PET/CT in the diagnosis of clinically significant prostate cancer were 100.0%, 68.4%, 66.7%, 100.0% and 80.6%, respectively. The detection rate of prostate cancer increased with the increase of miPSMA-ES score. The detection rate of clinically significant prostate cancer in miPSMA-ES 0-1, 2 and 3 groups were 0%, 54.5% and 85.7% respectively. Semi-quantitative analysis of ⁶⁸Ga-PSMA PET/CT images showed that predictive models based on maximum standardized uptake value (SUV_max), tumor-to-background normal prostate SUV (SUVT/BGp) and tumor-to-background normal liver SUV (SUVratio) could effectively predict clinically significant prostate cancer; area under the curves were 0.930, 0.877, and 0.956, respectively. Conclusion: This study preliminarily confirmed that ⁶⁸Ga-PSMA PET/CT imaging combined with PET-ultrasound fusion image-guided prostate biopsy can effectively detect clinically significant prostate cancer. Prebiopsy ⁶⁸Ga-PSMA PET/CT has predictive value for clinically significant cancer in the studied patient population.

Introduction: To use positron emission tomography coupled with computed tomography (¹⁸FDG-PET/CT) to identify a high-risk subgroup requiring therapeutic intensification among patients with locally advanced cervical cancer (LACC) and para-aortic lymph node (PALN) involvement. Methods: In this retrospective multicentric study, patients with LACC and PALN involvement concurrently treated with chemoradiotherapy and extended-field radiotherapy (EFR) between 2006 and 2016 were included. A senior nuclear medicine specialist in PET for gynaecologic oncology reviewed all ¹⁸FDG-PET/CT scans. Metabolic parameters including maximum standardised uptake value (SUV_max), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were determined for the primary tumour, pelvic lymph nodes and PALN. Associations between these parameters and overall survival (OS) were assessed with Cox's proportional hazards model. Results: Sixty-eight patients were enrolled in the study. Three-year OS was 55.5% (95% CI (40.8-68.0)). When adjusted for age, stage and histology, pelvic lymph node TLG, PALN TLG and PALN SUV_max were significantly associated with OS (p<0.005). Conclusion: FDG-PET/CT was able to identify predictors of survival in the homogeneous subgroup of patients with LACC and PALN involvement, thus allowing therapeutic intensification to be proposed.

Head motion degrades image quality and causes erroneous parameter estimates in tracer kinetic modeling in brain PET studies. Existing motion correction methods include frame-based image-registration (FIR) and correction using real-time hardware-based motion tracking (HMT) information. However, FIR cannot correct for motion within one predefined scan period while HMT is not readily available in the clinic since it typically requires attaching a tracking device to the patient. In this study, we propose a motion correction framework with a data-driven algorithm, i.e., using the PET raw data itself, to address these limitations. Methods: We propose a data-driven algorithm, Centroid of Distribution (COD), to detect head motion. In COD, the central coordinates of the line of response (LOR) of all events are averaged over 1-sec intervals to generate a COD trace. A point-to-point change in the COD trace in one direction that exceeded a user-defined threshold was defined as a time point of head motion, which was followed by manually adding additional motion time points. All the frames defined by such time points were reconstructed without attenuation correction and rigidly registered to a reference frame. The resulting transformation matrices were then used to perform the final motion compensated reconstruction. We applied the new COD framework to 23 human dynamic datasets, all containing large head motions, with ¹⁸F-FDG (N = 13) and ¹¹C-UCB-J (N = 10), and compared its performance with FIR and with HMT using the Vicra, which can be considered as the "gold standard". Results: The COD method yielded 1.0±3.2% (mean ± standard deviation across all subjects and 12 grey matter regions) SUV difference for ¹⁸F-FDG (3.7±5.4% for ¹¹C-UCB-J) compared to HMT while no motion correction (NMC) and FIR yielded -15.7±12.2% (-20.5±15.8%) and -4.7±6.9% (-6.2±11.0%), respectively. For ¹⁸F-FDG dynamic studies, COD yielded differences of 3.6±10.9% in Ki value as compared to HMT, while NMC and FIR yielded -18.0±39.2% and -2.6±19.8%, respectively. For ¹¹C-UCB-J, COD yielded 3.7±5.2% differences in VT compared to HMT, while NMC and FIR yielded -20.0±12.5% and -5.3±9.4%, respectively. Conclusion: The proposed COD-based data-driven motion correction method outperformed FIR and achieved comparable or even better performance as compared to the Vicra HMT method in both static and dynamic studies.

Respiratory gating is the standard to overcome respiration effects degrading image quality in positron emission tomography (PET). Data-driven gating (DDG) using signals derived from PET raw data are promising alternatives to gating approaches requiring additional hardware. However, continuous bed motion (CBM) scans require dedicated DDG approaches for axially-extended PET, compared to DDG for conventional step-and-shoot scans. In this study, a CBM-capable DDG algorithm was investigated in a clinical cohort, comparing it to hardware-based gating using gated and fully motion-corrected reconstructions. Methods: 56 patients with suspected malignancies in thorax or abdomen underwent whole-body ¹⁸F-FDG CBM-PET/CT imaging using DDG and hardware-based respiratory gating (pressure-sensitive belt gating, BG). Correlation analyses were performed on both gating signals. Besides static reconstructions, BG and DDG were used for optimally-gated PET (BG-OG, DDG-OG) and fully motion-corrected PET (elastic motion correction; BG-EMOCO, DDG-EMOCO). Metabolic volumes, SUV_max and SUVmean of lesions were compared amongst the reconstructions. Additionally, the quality of lesion delineation in different PET reconstructions was independently evaluated by three experts. Results: Global correlation coefficients between BG and DDG signals amounted to 0.48±0.11, peaking at 0.89±0.07 when scanning the kidney and liver region. In total, 196 lesions were analyzed. SUV measurements were significantly higher in BG-OG, DDG-OG, BG-EMOCO and DDG-EMOCO compared to static images (P<0.001; median SUV_max: static, 14.3±13.4; BG-EMOCO, 19.8±15.7; DDG-EMOCO, 20.5±15.6; BG-OG, 19.6±17.1; DDG-OG, 18.9±16.6). No significant differences between BG-OG and DDG-OG, and BG-EMOCO and DDG-EMOCO, respectively, were found. Visual lesion delineation was significantly better in BG-EMOCO and DDG-EMOCO than in static reconstructions (P<0.001); no significant difference was found comparing BG and DDG (EMOCO, OG, respectively). Conclusion: DDG-based motion-compensation of CBM-PET acquisitions outperforms static reconstructions, delivering qualities comparable to hardware-based approaches. The new algorithm may be a valuable alternative for CBM-PET systems.

Purpose: The main objective of this prospective study was to determine the impact of multi-phasic acquisition of ⁶⁸Ga-PSMA PET/CT in the detection of recurrent prostate cancer (PCa) in the early stage of biochemical recurrence (BR) with prostate-serum-antigen (PSA) level <1ng/ml. Also, ⁶⁸Ga-PSMA PET/CT positivity was correlated with clinical parameters for the assessment of predictive markers. Methods: A prospective monocentric study was conducted on 135 PCa patients with BR and PSA<1ng/ml. All patients have undergone initial prostatectomy with additional radiation therapy in 19.3% and androgen-deprivation therapy (ADT) in 7.4% of patients. Dynamic acquisition [1–8min. post-injection (p.i.)] from the prostate bed, standard whole-body (60min. p.i.) and limited bed positions of delayed studies (120-150min. p.i.), were performed. Studies were reviewed by two board-certified nuclear medicine specialists, independently. A combination of visual and semi-quantitative analyses and correlation with morphological (e.g. MRI) and/or clinical follow-up findings was used for the final interpretation of abnormal lesions as benign or malignant. ⁶⁸Ga-PSMA PET/CT positivity was also correlated with primary clinical findings. Results: Incorporating the information of all phases, 116 lesions were detected in 49.6% of patients (22 local recurrences, 63 lymph nodes, and 31 distant metastases). The detection rates were 31.8%, 44.9%, and 71.4% for PSA<0.2ng/ml, 0.2≤PSA<0.5, and 0.5≤PSA<1, respectively. Additional dynamic and/or delayed phases resulted in better determination of equivocal lesions and a higher diagnostic performance in 25.9% of patients. Stand-alone dynamic and delayed images led to better interpretation of equivocal findings in the prostate bed (31.4%) and other (lymph node/bone) lesions (20%), respectively. Conclusion: ⁶⁸Ga-PSMA PET/CT revealed promising results for the early detection of recurrent disease in patients with PSA level of 0.5-1.0ng/ml. However, it showed limited value in cases with PSA<0.5ng/ml. Multi-phasic ⁶⁸Ga-PSMA PET/CT led to better determination of equivocal findings. Although, dynamic images may provide helpful information in assessment of the prostate bed; however, delayed acquisitions seem to have higher impact in clarifying of the equivocal findings.

Recently introduced PET systems using silicon photomultipliers with digital readout (dPET) have an improved timing and spatial resolution, aiming at a better image quality, over conventional PET (cPET) systems. We prospectively evaluated the performance of a dPET system in patients with cancer, as compared to high-resolution (HR) cPET imaging. Methods: After a single FDG-injection, 66 patients underwent dPET (Vereos, Philips Healthcare) and cPET (Ingenuity TF, Philips Healthcare) imaging in a randomized order. We used HR-reconstructions (2x2x2 mm³ voxels) for both scanners and determined SUV_max, SUVmean, lesion-to-background ratio (LBR), metabolic tumor volume (MTV) and lesion diameter in up to 5 FDG-positive lesions per patient. Furthermore, we counted the number of visible and measurable lesions on each PET scan. Two nuclear medicine specialists blindly determined the Tumor Node Metastasis (TNM) score from both image sets in 30 patients referred for initial staging. For all 66 patients, these specialists separately and blindly evaluated image quality (4-point scale) and determined the scan preference. Results: We included 238 lesions that were visible and measurable on both PET scans. We found 37 additional lesions on dPET in 27 patients (41%), which were unmeasurable (n = 14) or invisible (n = 23) on cPET. SUVmean, SUV_max, LBR and MTV on cPET were 5.2±3.9 (mean±SD), 6.9±5.6, 5.0±3.6 and 2991±13251 mm³, respectively. On dPET SUVmean, SUV_max and LBR increased 24%, 23% and 27%, respectively (p<0.001) while MTV decreased 13% (p<0.001) compared to cPET. Visual analysis showed TNM upstaging with dPET in 13% of the patients (4/30). dPET images also scored higher in image quality (P = 0.003) and were visually preferred in the majority of cases (65%). Conclusion: Digital PET improved the detection of small lesions, upstaged the disease and images were visually preferred as compared to high-resolution conventional PET. More studies are necessary to confirm the superior diagnostic performance of digital PET.

Objective: To assess the feasibility and accuracy of Cerenkov Luminescence Imaging (CLI) for assessment of surgical margins intraoperatively during radical prostatectomy (RPE). Methods: A single centre feasibility study included 10 patients with high-risk primary prostate cancer (PC). ⁶⁸Ga-PSMA PET/CT scans were performed followed by RPE and intraoperative CLI of the excised prostate. In addition to imaging the intact prostate, in the first two patients the prostate gland was incised and imaged with CLI to visualise the primary tumour. We compared the tumour margin status on CLI to postoperative histopathology. Measured CLI intensities were determined as tumour to background ratio (TBR). Results: Tumour cells were successfully detected on the incised prostate CLI images as confirmed by histopathology. 3 of 10 men had histopathological positive surgical margins (PSMs), and 2 of 3 PSMs were accurately detected on CLI. Overall, 25 (72%) out of 35 regions of interest (ROIs) proved to visualize a tumour signal according to standard histopathology. The median tumour radiance in these areas was 11301 photons/s/cm²/sr (range 3328 - 25428 photons/s/cm²/sr) and median TBR was 4.2 (range 2.1 – 11.6). False positive signals were seen mainly at the prostate base with PC cells overlaid by benign tissue. PSMA-immunohistochemistry (PSMA-IHC) revealed strong PSMA staining of benign gland tissue, which impacts measured activities. Conclusion: This feasibility showed that ⁶⁸Ga-PSMA CLI is a new intraoperative imaging technique capable of imaging the entire specimen’s surface to detect PC tissue at the resection margin. Further optimisation of the CLI protocol, or the use of lower-energetic imaging tracers such as ¹⁸F-PSMA, are required to reduce false positives. A larger study will be performed to assess diagnostic performance.

The aim of this work was to quantify the uptake of [¹⁸F]BMS-986192, a PD-L1 adnectin PET tracer, in patients with non-small-cell lung cancer (NSCLC). To this end, plasma input kinetic modeling of dynamic tumor uptake data with online arterial blood sampling was performed. In addition, the accuracy of simplified uptake metrics such as standardized uptake value (SUV) was investigated. Methods: Data from a study with [¹⁸F]BMS-986192 in patients with advanced stage NSCLC eligible for nivolumab treatment were used if a dynamic scan was available and lesions were present in the field of view of the dynamic scan. After injection of [¹⁸F]BMS-986192, a 60-minutes dynamic PET-CT scan was started, followed by a 30-min whole body PET-CT scan. Continuous arterial and discrete arterial and venous blood sampling were performed to determine a plasma input function. Tumor time activity curves were fitted by several plasma input kinetic models. Simplified uptake parameters included tumor to blood ratio as well as several SUV measures. Results: Twenty two tumors in nine patients were analyzed. The arterial plasma input single-tissue reversible compartment model with fitted blood volume fraction seems to be the most preferred model as it best fitted 11 out of 18 tumor time activity curves. The distribution volume V_T ranged from 0.4 to 4.8 mL·cm-3. Similar values were obtained with an image derived input function. From the simplified measures, SUV normalized for body weight (SUV_BW) at 50 and 67 minutes post injection correlated best with V_T, with an R² > 0.9. Conclusion: A single tissue reversible model can be used for the quantification of tumor uptake of the PD-L1 PET tracer [¹⁸F]BMS-986192. SUV_BW at 60 minutes post injection, normalized for body weight, is an accurate simplified parameter for uptake assessment of baseline studies. In order to assess its predictive value for response evaluation during PD-(L)1 immune checkpoint inhibition further validation of SUV against V_T based on an image derived input function is recommended.

The overexpression of integrin αvβ6 in pancreatic cancer makes it a promising target for noninvasive positron emission tomography (PET) imaging. However, currently, most integrin αvβ6-targeting radiotracers are based on linear peptides, which are quickly degraded in the serum by proteinases. Herein, we aimed to develop and assess a ⁶⁸Ga-labeled integrin αvβ6-targeting cyclic peptide (⁶⁸Ga-cycratide) for PET imaging of pancreatic cancer. Methods: ⁶⁸Ga-cycratide was prepared, and its PET imaging profile was compared with that of the linear peptide (⁶⁸Ga-linear-pep) in an integrin αvβ6-positive BxPC-3 human pancreatic cancer mouse model. Five healthy volunteers (two women and three men) underwent whole-body PET/CT imaging after injection of ⁶⁸Ga-cycratide, and biodistribution and dosimetry calculations were determined. PET/CT imaging of two patients was performed to investigate the potential role of ⁶⁸Ga-cycratide in pancreatic cancer diagnosis and treatment monitoring. Results: ⁶⁸Ga-cycratide exhibited significantly higher tumor uptake than did ⁶⁸Ga-linear-pep in BxPC-3 tumor-bearing mice, owing—at least in part—to markedly improved in vivo stability. ⁶⁸Ga-cycratide could sensitively detect the pancreatic cancer lesions in an orthotopic mouse model and was well tolerated in all healthy volunteers. Preliminary PET/CT imaging in patients with pancreatic cancer demonstrated that ⁶⁸Ga-cycratide was comparable to ¹⁸F-fludeoxyglucose for diagnostic imaging and post-surgery tumor relapse monitoring. Conclusion: ⁶⁸Ga-cycratide is an integrin αvβ6-specific PET radiotracer with favorable pharmacokinetics and dosimetry profile. ⁶⁸Ga-cycratide is expected to provide an effective noninvasive PET strategy for pancreatic cancer lesion detection and therapy response monitoring.

Recently, N-(4-¹⁸F-fluorobenzoyl)-interleukin-2 (¹⁸F-FB-IL2) was introduced as PET tracer for T-cell imaging. However, production is complex and time-consuming. Therefore, we developed two radiolabeled interleukin-2 (IL-2) variants, namely aluminum ¹⁸F-fluoride-(restrained complexing agent)-IL-2 (¹⁸F-AlF-RESCA-IL2) and ⁶⁸Ga-gallium-(1,4,7-triazacyclononane-4,7-diacetic acid-1-glutaric acid)-IL-2 (⁶⁸Ga-Ga-NODAGA-IL2) and compared their in-vitro and in-vivo characteristics with ¹⁸F-FB-IL2. Methods: Radiolabeling of ¹⁸F-AlF-RESCA-IL2 and ⁶⁸Ga-Ga-NODAGA-IL2 was optimized and stability was evaluated in human serum. Receptor binding was studied with activated human peripheral blood mononuclear cells (hPBMCs). Ex-vivo tracer biodistribution in immunocompetent BALB/cOlaHsd (BALB/c) mice was performed at 15, 60 and 90 min after tracer injection. In-vivo binding characteristics were studied in severe combined immune-deficient (SCID) mice inoculated with activated hPBMCs in Matrigel. Tracer was injected 15 min after hPBMCs inoculation and a 60-min dynamic PET scan was acquired, followed by ex-vivo biodistribution studies. Specific uptake was determined by co-injection of tracer with unlabeled IL2 and by evaluating uptake in a control group inoculated with Matrigel only. Results: ⁶⁸Ga-Ga-NODAGA-IL2 and ¹⁸F-AlF-RESCA-IL2 were produced with radiochemical purity >95% and radiochemical yield of 13.1±4.7% and 2.4±1.6% within 60 and 90 min, respectively. Both tracers were stable in serum, with >90% being intact tracer after 1h. In-vitro, both tracers displayed preferential binding to activated hPBMCs. Ex-vivo biodistribution studies in BALB/c mice showed higher uptake of ¹⁸F-AlF-RESCA-IL2 than ¹⁸F-FB-IL2 in liver, kidney, spleen, bone and bone marrow. ⁶⁸Ga-Ga-NODAGA-IL2 uptake in liver and kidney was higher than ¹⁸F-FB-IL2 uptake. In-vivo, all tracers revealed uptake in activated hPBMCs in SCID mice. Low uptake was seen after a blocking dose of IL2 or in the Matrigel control group. In addition, ¹⁸F-AlF-RESCA-IL2 yielded highest contrast PET images of target lymph nodes. Conclusion: Production of ¹⁸F-AlF-RESCA-IL2 and ⁶⁸Ga-Ga-NODAGA-IL2 is simpler and faster than ¹⁸F-FB-IL2. Both tracers showed good in-vitro and in-vivo characteristics with high uptake in lymphoid tissue and hPBMC xenografts.

The accuracy of lutetium-177 (¹⁷⁷Lu) radiotracer concentration measurements using quantitative clinical software was determined by comparing in vivo results for a digital solid-state cadmium-zinc-telluride SPECT/CT (single photon emission computed tomography / x-ray computed tomography) system to in vitro sampling. First, image acquisition parameters were assessed for an International Electrotechnical Commission (IEC) body phantom emulating clinical count rates loaded with a "lung" insert and 6 hot spheres with a 12:1 target-to-background ratio of ¹⁷⁷Lu solution. Then, the data of 28 whole-body SPECT/CT scans of 7 patients who underwent ¹⁷⁷Lu prostate membrane antigen (¹⁷⁷Lu-PSMA) radioligand therapy was retrospectively analyzed. Three users analyzed SPECT/CT images for in vivo urinary bladder radiotracer uptake using quantitative software (Q.Metrix, GE Healthcare). In vitro radiopharmaceutical concentrations were calculated using urine sampling obtained immediately after each scan, scaled to standardized uptake values (SUVs). Any in vivo/in vitro identity relations were determined by linear regression (ideally slope=1, intercept=0), within a 95 % confidence interval (CI). Phantom results demonstrated lower quantitative error for acquisitions using the 113 keV ¹⁷⁷Lu energy peak rather than including the 208 keV peak, given that only low-energy collimation was available in this camera configuration. In the clinical study, 24 in vivo/in vitro pairs were eligible for further analysis, having rejected 4 as outliers (via Cook’s distance calculations). All linear regressions (R2 ≥ 0.92, P<0.0001) provided identity in vivo/in vitro relations (95 % CI), with SUV averages from all users giving a slope of 1.03±0.09, an intercept of –0.25±0.64 g/mL, and an average residual difference of 20.4 %. Acquiring with the lower energy ¹⁷⁷Lu energy peak, solid-state SPECT/CT imaging provides an accuracy to within ~20 % for in vivo urinary bladder radiotracer concentrations. This non-invasive in vivo quantitation method can potentially improve diagnosis, improve patient management and treatment response assessment, and provide data essential to ¹⁷⁷Lu dosimetry.

Overexpression of somatostatin receptors in patients with neuroendocrine neoplasms (NEN) is utilized for both diagnosis and treatment. Receptor density may reflect tumor differentiation and thus be associated with prognosis. Non-invasive visualization and quantification of somatostatin receptor density is possible by somatostatin receptor imaging (SRI) using positron emission tomography (PET). Recently, we introduced ⁶⁴Cu-DOTATATE for SRI and we hypothesized that uptake of this tracer could be associated with overall (OS) and progression-free survival (PFS). Methods: We evaluated patients with NEN that had a ⁶⁴Cu-DOTATATE PET/CT SRI performed in two prospective studies. Tracer uptake was determined as the maximal standardized uptake value (SUV_max) for each patient. Kaplan-Meier analysis with log-rank was used to determine the predictive value of ⁶⁴Cu-DOTATATE SUV_max for OS and PFS. Specificity, sensitivity and accuracy was calculated for prediction of outcome at 24 months after ⁶⁴Cu-DOTATATE PET/CT. Results: A total of 128 patients with NEN were included and followed for a median of 73 (1-112) months. During follow-up, 112 experienced disease progression and 69 patients died. The optimal cutoff for ⁶⁴Cu-DOTATATE SUV_max was 43.3 for prediction of PFS with a hazard ratio of 0.56 (95% CI: 0.38-0.84) for patients with SUV_max > 43.3. However, no significant cutoff was found for prediction of OS. In multiple Cox regression adjusted for age, sex, primary tumor site and tumor grade, the SUV_max cutoff hazard ratio was 0.50 (0.32-0.77) for PFS. The accuracy was moderate for predicting PFS (57%) at 24 months after ⁶⁴Cu-DOTATATE PET/CT. Conclusion: In this first study to report the association of ⁶⁴Cu-DOTATATE PET/CT and outcome in patients with NEN, tumor somatostatin receptor density visualized with ⁶⁴Cu-DOTATATE PET/CT was prognostic for PFS but not OS. However, the accuracy of prediction of PFS at 24 months after ⁶⁴Cu-DOTATATE PET/CT SRI was moderate limiting the value on an individual patient basis.

The kappa opioid receptor (KOR) is implicated in various neuropsychiatric disorders. We previously evaluated an agonist tracer, ¹¹C-GR103545, for PET imaging of KOR in humans. Although ¹¹C-GR103545 showed high brain uptake, good binding specificity, and selectivity to KOR, it displayed slow kinetics and relatively large test-retest variability (TRV) of distribution volume (V_T) estimates (15%). Therefore we set out to develop two novel KOR agonist radiotracers, ¹¹C-EKAP and ¹¹C-FEKAP, and in nonhuman primates, both tracers exhibited faster kinetics and comparable binding parameters to ¹¹C-GR103545. The aim of this study was to assess their kinetic and binding properties in humans. Methods: Six healthy subjects underwent 120-min test-retest PET scans with both ¹¹C-EKAP and ¹¹C-FEKAP. Metabolite-corrected arterial input functions were measured. Regional time-activity curves (TACs) were generated for 14 regions of interest. One- and two-tissue compartment models (1TC, 2TC) and the multilinear analysis-1 (MA1) method were applied to the regional TACs to calculate V_T. Time-stability of V_T values and test-retest reproducibility were evaluated. Levels of specific binding, as measured by the non-displaceable binding potential (BP_ND) for the three tracers (¹¹C-EKAP, ¹¹C-FEKAP and ¹¹C-GR103545), were compared using a graphical method. Results: For both tracers, regional TACs were fitted well with the 2TC model and MA1 method (t*=20min), but not with the 1TC model. Given unreliably estimated parameters in several fits with the 2TC model and a good match between V_T values from MA1 and 2TC, MA1 was chosen as the appropriate model for both tracers. Mean MA1 V_T values were highest for ¹¹C-GR103545, followed by ¹¹C-EKAP, then ¹¹C-FEKAP. Minimum scan time for stable V_T measurement was 90 and 110min for ¹¹C-EKAP and ¹¹C-FEKAP, respectively, compared with 140min for ¹¹C-GR103545. The mean absolute TRV in MA1 V_T estimates was 7% and 18% for ¹¹C-EKAP and ¹¹C-FEKAP, respectively. BP_ND levels were similar for ¹¹C-FEKAP and ¹¹C-GR103545, but ~25% lower for ¹¹C-EKAP. Conclusion: The two novel KOR agonist tracers showed faster tissue kinetics than ¹¹C-GR103545. Even with slightly lower BP_ND, ¹¹C-EKAP is judged to be a better tracer for imaging and quantification of KOR in humans, based on the shorter minimum scan time and excellent test-retest.

We developed a first-of-kind dasatinib-derivative imaging agent, ¹⁸F-SKI-249380 (¹⁸F-SKI), and validated its use for noninvasive in vivo tyrosine kinase-targeted tumor detection in preclinical models. In this study, we assess the feasibility of using ¹⁸F-SKI for PET imaging in patients with malignancies. Methods: Five patients with a prior diagnosis of breast cancer, renal cell cancer, or leukemia underwent whole-body PET/CT imaging 90 min post-injection of ¹⁸F-SKI (mean: 241.24 ± 116.36 MBq) as part of a prospective study. In addition, patients underwent either a 30-min dynamic scan of the upper abdomen including, at least partly, cardiac left ventricle, liver, spleen, and kidney (n = 2) or three 10-min whole-body PET/CT scans (n = 3) immediately post-injection and blood-based radioactivity measurements to determine the time course of tracer distribution and facilitate radiation dose estimates. A subset of three patients had a delayed whole-body PET/CT scan at 180 min. Biodistribution, dosimetry, and tumor uptake were quantified. Absorbed doses were calculated using OLINDA/EXM 1.0. Results: No adverse events occurred after injection of ¹⁸F-SKI. A total of 27 tumor lesions were analyzed with median SUVpeak 1.4 (range, 0.7–2.3) and tumor-to-blood ratios of 1.6 (range, 0.8–2.5) at 90 min post-injection. Intratumoral drug concentrations calculated for four reference lesions ranged from 0.03–0.07 nM. In all reference lesions, constant tracer accumulation was observed between 30–90 min post-injection. Blood radio-assay indicated that radiotracer clearance from blood and plasma was initially rapid (blood half-time 1.31 ± 0.81 min, plasma 1.07 ± 0.66 min; n = 4), followed variably by either a prolonged terminal phase (blood half-time 285 ± 148.49 min, plasma 240 ± 84.85 min; n = 2) or a small rise to plateau (n = 2). Like dasatinib, ¹⁸F-SKI underwent extensive metabolism post-administration, as evidenced by metabolite analysis. Radioactivity was predominantly cleared via the hepatobiliary route. The highest absorbed dose estimates (mGy/MBq) in normal tissues were to the right colon (0.167 ± 0.04) and small intestine (0.153 ± 0.03). The effective dose was 0.0258 (SD 0.0034) mSv/MBq. Conclusion: ¹⁸F-SKI demonstrated significant tumor uptake, distinct image contrast despite low injected doses, and rapid clearance from blood.

Purpose: This prospective study evaluated the imaging performance of a novel immunological pretargeting positron-emission tomorgraphy (immuno-PET) method in patients with HER2-negative, carcinoembryonic antigen (CEA)-positive, metastatic breast cancer (BC), compared to computed tomography (CT), bone magnetic resonance imaging (MRI), and ¹⁸Fluorodeoxyglucose PET (FDG-PET). Patients and Methods: Twenty-three patients underwent whole-body immuno-PET after injection of 150 MBq ⁶⁸Ga-IMP288, a histamine-succinyl-glycine peptide given following initial targeting of a trivalent anti-CEA, bispecific, anti-peptide antibody. The gold standards were histology and imaging follow-up. Tumor standard uptake values (SUV_max and SUVmean) were measured, and tumor burden analyzed using Total Tumor Volume (TTV) and Total Lesion Activity (TLA). Results: Total lesion sensitivity of immuno-PET and FDG-PET was 94.7% (1116/1178) and 89.6% (1056/1178), respectively. Immuno-PET had a somewhat higher sensitivity than CT and FDG-PET in lymph nodes (92.4% vs 69.7% and 89.4%, respectively) and liver metastases (97.3% vs 92.1% and 94.8%, respectively), whereas sensitivity was lower for lung metastases (48.3% vs 100% and 75.9%, respectively). Immuno-PET showed higher sensitivity than MRI and FDG-PET for bone lesions (95.8% vs 90.7% and 89.3%, respectively). In contrast to FDG-PET, immuno-PET disclosed brain metastases. Despite equivalent tumor SUV_max, SUVmean, and TTV, TLA was significantly higher with immuno-PET compared to FDG PET (P = 0.009). Conclusion: Immuno-PET using anti-CEA/anti-IMP288 bispecific antibody, followed by ⁶⁸Ga-IMP288, is a potentially sensitive theranostic imaging method for HER2-negative, CEA-positive, metastatic BC patients, and warrants further research.

The majority of epithelial tumors recruits fibroblasts and other non-malignant cells and activates them into cancer-associated fibroblasts. This often leads to overexpression of the membrane serine protease fibroblast-activating protein (FAP). It has already been shown that DOTA-bearing FAP inhibitors (FAPIs) generate high contrast images with PET/CT scans. Since SPECT is a lower cost and more widely available alternative to PET, ^99mTc-labeled FAPIs represent attractive tracers for imaging applicable in a larger number of patients. Furthermore, the chemically homologous nuclide 188Re is available from generators, which allows FAP-targeted endoradiotherapy. Methods: For the preparation of ^99mTc tricarbonyl complexes, a chelator was selected whose carboxylic acids can easily be converted into various derivatives in the finished product. This enabled a platform strategy based on the original tracer. The obtained ^99mTc complexes were investigated in vitro by binding and competition experiments on FAP-transfected HT-1080 (HT-1080-FAP) and/or on mouse FAP expressing (HEK-muFAP) and CD26-expressing (HEKCD26) HEK cells and characterized by planar scintigraphy and organ distribution studies in tumor-bearing mice. Furthermore, a first-in-man application was done in two patients with ovarian and pancreatic cancer, respectively. Results: ^99mTc-FAPI-19 showed specific binding to recombinant FAP-expressing cells with high affinity. Unfortunately, liver accumulation, biliary excretion and no tumor uptake were observed in the planar scintigraphy of a HT-1080-FAP xenotranplanted mouse. To improve the pharmacokinetic properties hydrophilic amino acids were attached to the chelator moiety of the compound. The resulting ^99mTc-labeled FAPI tracers revealed excellent binding properties (up to 45 % binding; above 95 % internalization), high affinity (IC50 = 6.4 nM to 12.7 nM), and significant tumor uptake (up to 5.4 %ID/g) in biodistribution studies. The lead candidate ^99mTc-FAPI-34 was applied for diagnostic scintigraphy and SPECT of patients with metastasized ovarian and pancreatic cancer for follow-up to therapy with ⁹⁰Y-FAPI-46. ^99mTc-FAPI-34 accumulated in the tumor lesions also shown in PET/CT imaging using ⁶⁸Ga-FAPI-46. Conclusion: ^99mTc-FAPI-34 represents a powerful tracer for diagnostic scintigraphy, especially in cases where PET imaging is not available. Additionally, the chelator used in this compound allows labeling with the therapeutic nuclide 188Re which is planned for the near future.

The objective of this retrospective study was to determine the role of ¹⁸F-FDG PET/CT in a large cohort of 495 patients with metastatic neuroendocrine neoplasms (NENs) who were treated with peptide receptor radionuclide therapy (PRRT) with a long-term follow-up. Methods: The 495 patients were treated with ¹⁷⁷Lu- and/or ⁹⁰Y- DOTATOC/DOTATATE PRRT between 2/2002 and 7/2018. All subjects received both ⁶⁸Ga-DOTATOC/TATE/NOC and ¹⁸F-FDG PET/CT prior to treatment and were followed 3-189 months. Kaplan-Meier analysis, log-rank test (Mantel-Cox), and Cox regression analysis were performed for overall survival (OS) and progression-free survival (PFS). Results: 199 patients (40.2%) presented with pancreatic NEN, 49 with CUP (cancer of unknown primary), 139 with midgut NEN, whereas the primary tumor was present in the rectum in 20, in the lung in 38, in the stomach in 8 and other locations in 42 patients. FDG-PET/CT was positive in 382 (77.2%) patients and 113 (22.8%) were FDG-negative before PRRT, while 100% were ⁶⁸Ga-DOTATOC/TATE/NOC positive. For all patients, the median PFS and OS, defined from start of PRRT, were 19.6 mo and 58.7 mo, respectively. Positive FDG predicted shorter PFS (18.5 mo vs 24.1 mo; P = 0.0015) and OS (53.2 mo vs 83.1 mo; P < 0.001) than negative FDG. Amongst the pancreatic NEN, the median OS was 52.8 mo in FDG positive and 114.3 mo in FDG negative subjects (P = 0.0006). For all patients with positive ¹⁸F-FDG uptake, and a ratio of the highest SUV_max on ⁶⁸Ga-SSTR PET to the most ¹⁸F-FDG-avid tumor lesions >2, the median OS was 53.0 mo, compared to 43.4 mo in those patients with a ratio <2 (P = 0.030). For patients with no ¹⁸F-FDG uptake (complete "mismatch" imaging pattern), the median OS was 108.3 mo vs 76.9 mo for SUV_max >15.0 and ≤15.0 on ⁶⁸Ga-SSTR PET/CT, respectively. Conclusion: The presence of positive lesions on ¹⁸F-FDG PET is an independent prognostic factor in patients with NEN treated with PRRT. Metabolic imaging with ¹⁸F-FDG PET/CT compliments the molecular imaging aspect of ⁶⁸Ga-SSTR PET/CT for the prognosis of survival after PRRT. High SSTR expression combined with negative ¹⁸F-FDG PET/CT imaging is associated with the most favorable long-term prognosis.

Introduction: Neuroendocrine differentiation is associated with treatment failure and poor outcome in metastatic castration-resistant prostate cancer (mCRPC). We investigated the effect of circulating neuroendocrine biomarkers on the efficacy of PSMA-targeted radioligand therapy (RLT). Methods: Neuroendocrine biomarker profiles (progastrin-releasing peptide, neuron-specific enolase, and chromogranin-A) were analyzed in 50 patients commencing ¹⁷⁷Lu-PSMA-617 RLT. The primary endpoint was PSA response in relation to baseline neuroendocrine marker profiles. Additional endpoints included progression-free survival. Tumor uptake on post-therapeutic scans, a known predictive marker for response, was used as control-variable. Results: Neuroendocrine biomarker profiles were abnormal in the majority of patients. Neuroendocrine biomarker levels did not predict treatment failure or early progression (P ≥ 0.13). By contrast, intense PSMA-ligand uptake in metastases predicted both treatment response (P = 0.0030) and reduced risk of early progression (P = 0.0111). Conclusion: Neuroendocrine marker profiles do not predict adverse outcome of RLT. By contrast, high ligand uptake was confirmed to be crucial for achieving tumor-response.