Andreas Linden
Apr 24, 2020; 0:RA120.002028v1-mcp.RA120.002028
Research

Samuel W Entwisle
Apr 6, 2020; 0:RA120.001946v2-mcp.RA120.001946
Research

Tsung-Heng Tsai
Mar 31, 2020; 0:RA119.001792v1-mcp.RA119.001792
Research

Eva Griesser
May 1, 2020; 19:839-851
Research

Yafeng Zhu
Mar 23, 2020; 0:TIR119.001646v1-mcp.TIR119.001646
Technological Innovation and Resources

Karl A. T. Makepeace
Apr 1, 2020; 19:624-639
Research

Nikita Prianichnikov
Mar 10, 2020; 0:TIR119.001720v1-mcp.TIR119.001720
Technological Innovation and Resources

Chia-Feng Tsai
May 1, 2020; 19:828-838
Research

Lindsay K Pino
Apr 20, 2020; 0:P119.001913v1-mcp.P119.001913
Perspective

Dorte B. Bekker-Jensen
Apr 1, 2020; 19:716-729
Technological Innovation and Resources

Payman Samavarchi-Tehrani
May 1, 2020; 19:757-773
Review

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By Carrie Diaz Eaton and Pamela E. Harris We received the same email: Tuesday, Dec 17, 1:37 PM and Tuesday, Dec 17, 1:42 PM. No time to personalize the email. Simply change last names. After all, any one will do, … Continue reading →

Research Event

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21 April 2020

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1 May 2020

Insulin-like growth factors (IGFs), specifically IGF1 and IGF2, promote glucose metabolism, with their availability regulated by IGF-binding proteins (IGFBPs). We hypothesized that IGF1 and IGF2 levels, or their bioavailability, are reduced during type 1 diabetes development. Total serum IGF1, IGF2, and IGFBP1–7 levels were measured in an age-matched, cross-sectional cohort at varying stages of progression to type 1 diabetes. IGF1 and IGF2 levels were significantly lower in autoantibody (AAb)⁺ compared with AAb^– relatives of subjects with type 1 diabetes. Most high-affinity IGFBPs were unchanged in individuals with pre–type 1 diabetes, suggesting that total IGF levels may reflect bioactivity. We also measured serum IGFs from a cohort of fasted subjects with type 1 diabetes. IGF1 levels significantly decreased with disease duration, in parallel with declining β-cell function. Additionally, plasma IGF levels were assessed in an AAb⁺ cohort monthly for a year. IGF1 and IGF2 showed longitudinal stability in single AAb⁺ subjects, but IGF1 levels decreased over time in subjects with multiple AAb and those who progressed to type 1 diabetes, particularly postdiagnosis. In sum, IGFs are dysregulated both before and after the clinical diagnosis of type 1 diabetes and may serve as novel biomarkers to improve disease prediction.

This study sought to determine brain nicotine kinetics from the use of increasingly popular electronic cigarettes (E-cigs). Methods: Brain uptake of nicotine following inhalation from E-cigs was directly assessed in 17 E-cig users (8 females), using ¹¹C-nicotine and positron emission tomography. The brain nicotine kinetics parameters from E-cigs were compared with those from smoking combustible cigarettes (C-cigs). Results: After inhalation of a single puff of E-cig vapor, brain nicotine concentration rose quickly (mean T1/2 27 sec) with a peak amplitude 25% higher in females than males, resembling previous observations with C-cigs. Nonetheless, brain nicotine accumulation from E-cigs was smaller than that from C-cigs in both males and females (24% and 32%, respectively). Conclusion: E-cigs can deliver nicotine rapidly to the brain. Therefore, to the extent that rapid brain uptake promotes smoking reward, e-cigarettes might maintain a degree of nicotine dependence and also serve as non-combustible substitutes for cigarettes.

The currently available therapeutic radiopharmaceutical for high-risk neuroblastoma, ¹³¹I-MIBG, is ineffective at targeting micrometastases due to the low linear energy transfer (LET) properties of high-energy beta particles. In contrast, Auger radiation has high-LET properties with nanometer ranges in tissue, efficiently causing DNA damage when emitted in close proximity to DNA. The aim of this study was to evaluate the cytotoxicity of targeted Auger therapy in pre-clinical models of high-risk neuroblastoma. Methods: Using a radiolabeled poly(ADP-ribose) polymerase (PARP) inhibitor, ¹²⁵I-KX1, we delivered an Auger emitter iodine-125 to PARP-1: a chromatin-binding enzyme overexpressed in neuroblastoma. In vitro cytotoxicity of ¹²⁵I-KX1 was assessed in nineteen neuroblastoma cell lines, followed by in-depth pharmacological analysis in a sensitive and resistant pair of cell lines. Immunofluorescence microscopy was used to characterize ¹²⁵I-KX1-induced DNA damage. Finally, in vitro/in vivo microdosimetry was modeled from experimentally derived pharmacological variables. Results: ¹²⁵I-KX1 was highly cytotoxic in vitro across a panel of neuroblastoma cell lines, directly causing double strand DNA breaks. Based on subcellular dosimetry, ¹²⁵I-KX1 was approximately twice as effective compared to ¹³¹I-KX1, whereas cytoplasmic ¹²⁵I-MIBG demonstrated low biological effectiveness. Despite the ability to deliver focused radiation dose to the cell nuclei, ¹²⁵I-KX1 remained less effective than its alpha-emitting analog ²¹¹At-MM4, and required significantly higher activity for equivalent in vivo efficacy based on tumor microdosimetry. Conclusion: Chromatin-targeted Auger therapy is lethal to high-risk neuroblastoma cells with potential use in micrometastatic disease. This study provides the first evidence for cellular lethality from a PARP-1 targeted Auger emitter, calling for further investigation into targeted Auger therapy.

Purpose: ⁶⁸Ga-DOTA-JR11 is an antagonist for somatostatin receptor used in neuroendocrine imaging. The purpose of this study is to compare ⁶⁸Ga-DOTA-JR11 and ⁶⁸Ga-DOTATATE PET/CT in patients with metastatic, well-differentiated neuroendocrine tumors. Methods: Patients with histologically-proven, metastatic and/or unresectable, well-differentiated neuroendocrine tumors were prospectively recruited in this study. They received an intravenous injection of ⁶⁸Ga-DOTATATE (4.0 ± 1.3 mCi) on the first day and ⁶⁸Ga-DOTA-JR11 (4.0 ± 1.4 mCi) on the second day. Whole-body PET/CT scans were performed at 40 to 60 minutes after injection on the same scanner. Physiologic uptake of normal organs, lesion numbers, and lesion uptake were compared. Results: Twenty-nine patients were prospectively enrolled in the study. The SUV_max of the spleen, renal cortex, adrenal glands, pituitary glands, stomach wall, normal liver parenchyma, small intestine, pancreas, and bone marrow were significantly lower on ⁶⁸Ga-DOTA-JR11 than on ⁶⁸Ga-DOTATATE PET/CT (P<0.001). ⁶⁸Ga-DOTA-JR11 detected significantly more liver lesions (539 vs. 356, P = 0.002), but fewer bone lesions (156 vs. 374, P = 0.031, Figure 3) than ⁶⁸Ga-DOTATATE. The tumor-to-background ratio of liver lesions was significantly higher on ⁶⁸Ga-DOTA-JR11 (7.6 ± 5.1 vs. 3.4 ± 2.0, P<0.001). ⁶⁸Ga-DOTA-JR11 and ⁶⁸Ga-DOTATATE PET/CT showed comparable results for primary tumors and lymph node metastases based on either patient-based or lesion-based comparison. Conclusion: ⁶⁸Ga-DOTA-JR11 performs better in the detection ability and TBR of liver metastases. However, ⁶⁸Ga-DOTATATE outperforms ⁶⁸Ga-DOTA-JR11 in the detection of bone metastases. The differential affinity of different metastatic sites provides key information for patient selection in imaging and peptide receptor radionuclide therapy.

Purpose: To explore the value of ⁶⁸Ga-PSMA-PET/CT for detection of phosphatase and tensin homolog (PTEN) - loss prostate cancer (PCa). Methods: We retrospectively enrolled 75 patients who underwent multiparametric MRI (mpMRI) and ⁶⁸Ga-PSMA PET/CT before radical prostatectomy. Lesions were outlined on pathological images and regions of interest were drawn on matched mpMRI and PET/CT images. Imaging parameters including average apparent diffusion coefficient (ADCmean) and maximum standardized uptake value (SUV_max) were derived. Immunohistochemical staining was carried out to evaluate the PTEN status. The diagnostic performance of imaging parameters was analyzed by receiver operating characteristics (ROC) analysis. A univariate logistic regression analyses were used to evaluate the association between clinical and imaging variables and PTEN status. Results: Totally, 103 lesions from 54 patients were analyzed. Of these lesions, 34 of 103 (33.0%) showed PTEN-loss status. Our study showed a strong association between SUV_max and PTEN-loss tumors both in the per-patient analysis (P < 0.01) and per-lesion analysis (P < 0.01), yielding the sensitivity and specificity of 0.80 and 0.77 in the per-patient analysis and 0.83 and 0.74 in the per-lesion analysis. Meanwhile, higher pathological PSMA expression was found in the PTEN-deficiency tumors. However, there was no significant difference between PTEN-loss tumors and PTEN-intact tumors using parameters including ADCmean (P > 0.05) and PI-RADS score (P > 0.05). Surprisingly, SUV_max was a significant predictor for detection of PTEN-loss tumors (odds ratio: 7.56, 95% confidence interval: 2.18-26.24, per-patient analysis; odds ratio: 13.66, 95% confidence interval: 4.32-43.24, per-lesion analysis). Conclusion: ⁶⁸Ga-PSMA-PET/CT could effectively detect aggressive PTEN-loss tumors.

Purpose: The aim of this retrospective multicentric study was to develop and evaluate a prognostic FDG PET/CT radiomics signature in early-stage non-small cell lung cancer (NSCLC) patients treated with stereotactic radiotherapy (SBRT). Material and Methods: Patients from 3 different centers (n = 27, 29 and 8) were pooled to constitute the training set, whereas the patients from a fourth center (n = 23) were used as the testing set. The primary endpoint was local control (LC). The primary tumour was semi-automatically delineated in the PET images using the Fuzzy locally adaptive Bayesian algorithm, and manually in the low-dose CT images. A total of 184 IBSI-compliant radiomic features were extracted. Seven clinical and treatment parameters were included. We used ComBat to harmonize radiomic features extracted from the four institutions relying on different PET/CT scanners. In the training set, variables found significant in the univariate analysis were fed into a multivariate regression model and models were built by combining independent prognostic factors. Results: Median follow-up was 21.1 (1.7 – 63.4) and 25.5 (7.7 – 57.8) months in training and testing sets respectively. In univariate analysis, none of the clinical variables, 2 PET and 2 CT features were significantly predictive of LC. The best predictive models in the training set were obtained by combining one feature from PET, namely information correlation 2 (IC2) and one from CT (Flatness), reaching a sensitivity of 100% and a specificity of 96%. Another model combining 2 PET features (IC2 and Strength), reached sensitivity of 100% and specificity of 88%, both with an undefined hazard ratio (HR) (p<0.001). The latter model obtained an accuracy of 0.91 (sensitivity 100%, specificity 81%), with a HR undefined (P = 0.023) in the testing set, however other models relying on CT radiomics features only or the combination of PET and CT features failed to validate in the testing set. Conclusion: We showed that two radiomic features derived from FDG PET were independently associated with LC in patients with NSCLC undergoing SBRT and could be combined in an accurate predictive model. This model could provide local relapse-related information and could be helpful in clinical decision-making.

Objectives: The detection of cancer micrometastasis for early diagnosis and treatment poses a great challenge for conventional imaging techniques. The aim of study is to evaluate the performance of photoacoustic imaging (PAI) in detecting hepatic micrometastases from melanoma in a very early stage and perform tumor resection by intraoperative photoacoustic image-guidance. Methods: In vivo studies were performed by following protocols approved by the Ethical Committee for Animal Research at Xiamen University. First, a B16 melanoma hepatic metastasis mouse model (n = 10) was established to study the development of micrometastases in vivo. Next, the hepatic metastasis mice models were imaged by scalable PAI instrument, ultrasound, 9.4 T high-resolution magnetic resonance imaging (MRI), positron emission tomography/computed tomography (PET/CT), and bioluminescence imaging. Photoacoustic images acquired with optical wavelengths spanning from 680 to 850 nm were spectrally unmixed by using a linear least-squares method to differentiate various components. Differences in the signal-to-background ratios among different modalities were determined with the two-tailed paired t test. The diagnosis results were assessed with histologic examinations. Excised liver samples from patients diagnosed with hepatic cancer were also examined to identify tumor boundary. In vivo metastatic melanoma removal in surgery was precisely guided by the portable PAI system. Results: PAI achieved as small as ~400 µm hepatic melanoma detection at a depth up to 7 mm in vivo, which could early detect small melanoma compared with ultrasound and MRI in mouse models. The signal ratio of tumor-to-liver acquired with PAI in micrometastases at 8 days (4.2 ± 0.2, n = 6) and 14 days (9.2 ± 0.4, n = 5) were significantly higher than those obtained with PET/CT (1.8 ± 0.1, n = 5 and 4.5 ± 0.2, n = 5, P <0.001 for both). Functional PAI provided dynamic oxygen saturation changes during tumor growth. The limit of detection was measured to be approximately 219 cells per microliter in vitro. We successfully performed intraoperative photoacoustic image-guided surgery in vivo using the rapid portable PAI system. Conclusion: Our findings offer a rapid and effective tool to noninvasively detect micrometastases and guide intraoperative resection as a complementary clinical imaging application.

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.

P-glycoprotein (ABCB1) plays an important role at the blood-brain barrier (BBB) in promoting the clearance of neurotoxic beta-amyloid (Aß) peptides from the brain into the blood. ABCB1 expression and activity were found to be decreased in the brains of Alzheimer disease (AD) patients. Treatment with drugs which induce cerebral ABCB1 activity may be a promising approach to delay the build-up of Aß deposits in the brain by enhancing the clearance of Aß peptides from the brain. The aim of this study was to investigate whether PET with the weak ABCB1 substrate radiotracer ¹¹C-metoclopramide can measure ABCB1 induction at the BBB in a beta-amyloidosis mouse model (APP/PS1-21 mice) and in wild-type mice. Methods: Groups of wild-type and APP/PS1-21 mice aged 50 or 170 days underwent ¹¹C-metoclopramide baseline PET scans or scans after intraperitoneal treatment with the rodent pregnane X receptor (PXR) activator 5-pregnen-3β-ol-20-one-16α-carbonitrile (PCN, 25 mg/kg) or its vehicle over 7 days. At the end of the PET scans, brains were harvested for immunohistochemical analysis of ABCB1 and Aß levels. In separate groups of mice, radiolabeled metabolites of ¹¹C-metoclopramide were determined in plasma and brain at 15 min after radiotracer injection. As an outcome parameter of cerebral ABCB1 activity, the elimination slope of radioactivity washout from the brain (kE,brain) was calculated. Results: PCN treatment resulted in an increased clearance of radioactivity from the brain as reflected by significant increases in kE,brain (from +26% to +54% relative to baseline). Immunohistochemical analysis confirmed ABCB1 induction in the brains of PCN-treated APP/PS1-21 mice with a concomitant decrease in Aß levels. There was a significant positive correlation between kE,brain values and ABCB1 levels in the brain. In wild-type mice, a significant age-related decrease in kE,brain values was found. Metabolite analysis showed that the majority of radioactivity in the brain was composed of unmetabolized ¹¹C-metoclopramide in all animal groups. Conclusion: ¹¹C-metoclopramide can measure ABCB1 induction in the mouse brain without the need to consider an arterial input function and may find potential application in AD patients to non-invasively evaluate strategies to enhance the clearance properties of the BBB.

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.

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.

Multiple myeloma (MM) is a plasma cell cancer and represents the second most frequent hematological malignancy. Despite new treatments and protocols including high doses chemotherapy associated with autologous stem cell transplantation, the prognosis of MM patients is still poor. Alpha-radioimmunotherapy (alpha-RIT) represents an attractive treatment strategy due to the high linear energy transfer and short path length of alpha-radiation in tissues, resulting in high tumor cell killing and low toxicity to surrounding tissues. In this study, we investigated the potential of alpha-RIT with ²¹²Pb-Daratumumab (anti-CD38), in both in vitro and in vivo models, as well as an anti-mouse CD38 antibody using in vivo models. Methods: Inhibition of cell proliferation after incubation of RPMI8226 cell line with increasing activities (0.185-3.7 kBq/ml) of ²¹²Pb-isotypic control or ²¹²Pb-Daratumumab was evaluated. Biodistribution was performed in vivo by SPECT-CT imaging and post-mortem. Dose range finding (DRF) and acute toxicity studies were conducted. As Daratumumab does not bind the murine CD38, biodistribution and DRF were also determined using an anti-murine CD38 antibody. To evaluate in vivo efficacy of ²¹²Pb-Daratumumab, mice were engrafted subcutaneously with 5.106 RPMI8226 cells. Mice were treated 13 days post-engraftment with an intravenous injection of ²¹²Pb-Daratumumab or control solutions. Therapeutic efficacy was monitored by tumor volume measurements and overall survival. Results: Significant inhibition of proliferation of the human myeloma RPMI8226 cell line was observed after three days of incubation with ²¹²Pb-Daratumumab compared to ²¹²Pb-Isotypic Control or cold antibodies. Biodistribution studies showed a specific tumoral accumulation of Daratumumab. No toxicity was observed with ²¹²Pb-Daratumumab up to 370 kBq due to the lack of cross-reactivity. Nevertheless, acute toxicity experiments with ²¹²Pb-anti-mCD38 established a toxic activity of 277.5 kBq. To remain within realistically safe treatment activities for efficacy studies, mice were treated with 185 kBq or 277.5 kBq of ²¹²Pb-Daratumumab. Marked tumor growth inhibition compared to controls was observed, with a median survival of 55 days for 277.5 kBq of ²¹²Pb-Daratumumab instead of 11 for PBS control groups. Conclusion: These results showed ²¹²Pb-Daratumumab efficacy on xenografted mice with significant tumor regression and increased survival. This study highlights alpha-RIT potency in MM treatment.

Immune checkpoint blockade represents a promising approach in oncology, showing anti-tumor activities in various cancers. However, although being generally far more well-tolerated than classical cytotoxic chemotherapy, this treatment, too, may be accompanied by considerable side effects and not all patients benefit equally. Therefore, careful patient selection and monitoring of the treatment response is mandatory. At present, checkpoint-specific molecular imaging is increasingly investigated as a tool for patient selection and response evaluation. Here, an overview of the current developments in immune checkpoint imaging is provided.

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.

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.

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.

para-Aminobenzoic acid (PABA) has been previously used as an exogenous marker to verify completion of 24-hour urine sampling. Therefore, we hypothesized that radiolabeled PABA with ¹¹C could allow high-quality dynamic PET of the kidneys while reducing the radiation exposure due to its short biological and physical half-lives. We evaluated if ¹¹C-PABA could visualize renal anatomy and quantify function in healthy rats, rabbits, and first-in-human studies in healthy volunteers. Methods: Healthy rats and rabbits were injected with ¹¹C-PABA intravenously. Subsequently, a dynamic PET was performed, followed by post-mortem tissue biodistribution studies. 11C-PABA PET was directly compared with the current standard, ^99mTc-MAG3 in rats. Three healthy human subjects also underwent dynamic PET after intravenous injection of ¹¹C-PABA. Results: In healthy rats and rabbits, dynamic PET demonstrated a rapid accumulation of ¹¹C-PABA in the renal cortex, followed by rapid excretion through the pelvicalyceal system. In humans, ¹¹C-PABA PET was safe and well tolerated. There were no adverse or clinically detectable pharmacologic effects in any subject. The cortex was delineated on PET, and the activity gradually transited to the medulla and then renal pelvis with high spatiotemporal resolution. Conclusion: ¹¹C-PABA demonstrated fast renal excretion with very low background signal in animals and humans. These results suggest that ¹¹C-PABA could be used as a novel radiotracer for functional renal imaging, providing high-quality spatiotemporal images with low radiation exposure.