Cynthia Payne
Aug 1, 2001; 14:
Preface

Carol Rees Parrish
Oct 1, 2007; 20:231-234
Nutrition FYI

Daren Anderson
Jan 1, 2007; 20:10-16
Feature Articles

Belinda S. O’Connell
Aug 1, 2001; 14:
Articles

Jennifer K. Raymond
Feb 1, 2015; 28:68-71
Care Innovations

Robert Mayberry
Jul 1, 2010; 23:171-176
Feature Articles

Karen B. Hirschman
Aug 1, 2014; 27:192-195
From Research to Practice

Lawrence Fisher
Oct 1, 2004; 17:215-219
Articles

Roger P. Austin
Jan 1, 2006; 19:13-16
Pharmacy Update

Omar D. Fernandes
Jul 1, 2010; 23:194-198
Care Innovations

Guillermo E. Umpierrez
Jan 1, 2002; 15:
Articles

Martha Mitchell Funnell
Oct 1, 2007; 20:221-226
Articles

Frederick J. Bloom
Jul 1, 2010; 23:165-169
From Research to Practice

Stephen F. Quevedo
Oct 1, 2001; 14:
Feature Articles

Arlene Smaldone
Jan 1, 2008; 21:46-49
Evidence-Based Clinical Decision Making

Philip E. Cryer
Jan 1, 2002; 15:
Articles

Ruban Dhaliwal
Feb 1, 2014; 27:9-20
Research to Practice

Russell E. Glasgow
Jan 1, 2001; 14:
Articles

Emmy Suhl
Oct 1, 2006; 19:234-240
Articles

Rachel L. Derr
Jul 1, 2007; 20:177-185
Feature Articles

Apr 1, 2004; 17:97-101
Articles

Toni Tripp-Reimer
Jan 1, 2001; 14:
Articles

Garry Welch
Jan 1, 2006; 19:5-11
Lifestyle and Behavior

Russell E. Glasgow
Apr 1, 2001; 14:
Feature Articles

Daren R. Anderson
Apr 1, 2010; 23:97-105
Feature Articles

Carla Moore Beckerle
Aug 1, 2013; 26:172-178
Feature Articles

Daniel J. Cox
Jan 1, 2006; 19:43-49
Feature Articles

Cathy Lloyd
Apr 1, 2005; 18:121-127
Feature Articles

Tricia S. Tang
May 1, 2011; 24:85-98
From Research to Practice/Behavioral Interventions for Diabetes Self-Management

Tammie M. Johnson
Jan 1, 2010; 23:41-46
Feature Articles

Michele Heisler
Oct 1, 2007; 20:214-221
Articles

Michael A. Greene
Jul 1, 2006; 19:171-179
Feature Articles

Barbara J. Anderson
Jan 1, 2004; 17:
Articles

Sharlene Emerson
Apr 1, 2006; 19:79-83
Articles

Carolé R. Mensing
Apr 1, 2003; 16:
Articles

Stephen L. Aronoff
Jul 1, 2004; 17:183-190
Feature Articles

T. Chas Skinner
Apr 1, 2003; 16:
Lifestyle and Behavior

Soren E. Skovlund
Jul 1, 2005; 18:136-142
Lifestyle and Behavior

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.

Sodium–glucose cotransport 2 inhibitors (SGLT2i) lower plasma glucose but stimulate endogenous glucose production (EGP). The current study examined the effect of dapagliflozin on EGP while clamping plasma glucose, insulin, and glucagon concentrations at their fasting level. Thirty-eight patients with type 2 diabetes received an 8-h measurement of EGP ([3-³H]-glucose) on three occasions. After a 3-h tracer equilibration, subjects received 1) dapagliflozin 10 mg (n = 26) or placebo (n = 12); 2) repeat EGP measurement with the plasma glucose concentration clamped at the fasting level; and 3) repeat EGP measurement with inhibition of insulin and glucagon secretion with somatostatin infusion and replacement of basal plasma insulin and glucagon concentrations. In study 1, the change in EGP (baseline to last hour of EGP measurement) in subjects receiving dapagliflozin was 22% greater (+0.66 ± 0.11 mg/kg/min, P < 0.05) than in subjects receiving placebo, and it was associated with a significant increase in plasma glucagon and a decrease in the plasma insulin concentration compared with placebo. Under glucose clamp conditions (study 2), the change in plasma insulin and glucagon concentrations was comparable in subjects receiving dapagliflozin and placebo, yet the difference in EGP between dapagliflozin and placebo persisted (+0.71 ± 0.13 mg/kg/min, P < 0.01). Under pancreatic clamp conditions (study 3), dapagliflozin produced an initial large decrease in EGP (8% below placebo), followed by a progressive increase in EGP that was 10.6% greater than placebo during the last hour. Collectively, these results indicate that 1) the changes in plasma insulin and glucagon concentration after SGLT2i administration are secondary to the decrease in plasma glucose concentration, and 2) the dapagliflozin-induced increase in EGP cannot be explained by the increase in plasma glucagon or decrease in plasma insulin or glucose concentrations.

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.

Objective: To investigate the lesion detection rate of ¹⁸F-DCFPyL-PET/CT, a prostate-specific membrane antigen (PSMA) targeted PET agent, in biochemical relapse prostate cancer patients after primary local therapy. Methods: This is a prospective institutional review board-approved study of 90 patients with documented biochemical recurrence (median PSA 2.5 ng/mL, range 0.21-35.5 ng/mL) with negative conventional imaging after primary local therapies, including radical prostatectomy (n = 38), radiation (n = 27) or combination (n = 25). Patients on androgen deprivation therapy were excluded. Patients underwent whole-body ¹⁸F-DCFPyL-PET/CT (299.9±15.5 MBq) at 2 h p.i. PSMA-PET lesion detection rate was correlated with PSA, PSA kinetics and original primary tumor grade. Results: Seventy patients (77.8%) showed a positive PSMA-PET scan, identifying a total of 287 lesions: 37 prostate bed foci, 208 lymph nodes, and 42 bone/organ distant sites; 11 patients had a negative scan and 9 patients showed indeterminate lesions, which were considered negative in this study. The detection rates were 47.6% (n = 10/21), 50% (n = 5/10), 88.9% (n = 8/9), and 94% (n = 47/50) for PSA >0.2 to <0.5, 0.5 to <1.0, 1 to <2.0, and ≥2.0 ng/mL, respectively. In post-surgical patients, PSA, PSAdt and PSAvel correlated with PET results but the same was not true for post-radiation patients. These parameters also correlated with the extent of disease on PET (intrapelvic vs. extrapelvic). There was no significant difference between the rate of positive scans in patients with higher grade vs lower grade primary tumors (Gleason score ≥4+3 vs <3+4). Tumor recurrence was histology confirmed in 40% (28/70) of patients. On a per-patient basis, positive predictive value was 93.3% (95% CI, 77.6-99.2%) by histopathologic validation, and 96.2% (95% CI, 86.3-99.7%) by the combination of histology and imaging/clinical follow-up. Conclusion: ¹⁸F-DCFPyL-PET/CT imaging offers high detection rates in biochemically recurrent prostate cancer patients; and is positive in about 50% of patients with PSA <0.5 ng/mL, which could substantially impact clinical management. In post-surgical patients, ¹⁸F-DCFPyL-PET/CT correlates with PSA, PSAdt and PSAvel suggesting it may have prognostic value. ¹⁸F-DCFPyL-PET/CT is highly promising for localizing sites of recurrent prostate cancer.

Background: ⁶⁸Ga PSMA PET CT (PSMA) is increasingly used in men with biochemical recurrence (BCR) post radical prostatectomy (RP), but its longer term prognostic / predictive potential in these men is unknown. The aim of this study was to evaluate the predictive value of PSMA PET for 3 year freedom from progression (FFP) in men with BCR post RP undergoing salvage radiotherapy (sRT). Methods: This prospective multi-center study enrolled 260 men between 2015 and 2017. Eligible patients were referred for PSMA with rising PSA following RP. Management following PSMA was recorded but not mandated. PSMA protocols were standardised across sites and reported prospectively. Clinical, pathological and surgical information, sRT, timing and duration of androgen deprivation (ADT), 3 year PSA results and clinical events were documented. FFP was defined as a PSA rise ≤ 0.2ng/mL above nadir post sRT, with no additional treatment. Results: The median PSA was 0.26ng/mL (IQR 0.15 - 0.59) and follow-up 38 months (IQR 31-43). PSMA was negative in 34.6% (90/260), confined to prostate fossa 21.5% (56/260), pelvic nodes 26.2% (68/260), and distant disease 17.7% (46/260). 71.5% (186/260) received sRT, 38.2% (71/186) to the fossa only, 49.4% (92/186) fossa + pelvic nodes and 12.4% (23/186) nodes alone/SBRT. PSMA was highly predictive of FFP at 3 years following sRT. Overall, FFP was achieved in 64.5% (120/186) of those who received sRT, 81% (81/100) with negative/fossa confined vs. 45% (39/86) for extra fossa disease (p<0.0001). On logistic regression PSMA was more independently predictive of FFP than established clinical predictors, including PSA, T-stage, surgical margin status or Gleason score (P < 0.002). 32% of men with a negative PSMA PET did not receive treatment. Of these, 66% (19/29) progressed, with a mean rise in PSA of 1.59ng/mL over the 3 years. Conclusion: PSMA PET result is highly predictive of FFP at 3 years in men undergoing sRT for BCR following RP. In particular, men with negative PSMA PET or disease identified as still confined to the prostate fossa demonstrate high FFP, despite receiving less extensive radiotherapy and lower rates of additional ADT than those with extra fossa disease.

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.

Rationale: Lymphatic tracers can help visualize the lymphatic drainage patterns and sentinel nodes of individual prostate cancer patients. To determine the role of nuclear medicine, in particular the positional guidance of a SPECT/CT-based 3D imaging roadmap, in this process we studied to which extend fluorescence-guidance underestimated the number of target lesions. Methods: SPECT/CT imaging was performed after intraprostatic tracer administration of either ICG-^99mTc-nanocolloid (hybrid tracer group) or ^99mTc-nanocolloid to create a roadmap that depicted all sentinel nodes (SNs). Patients who received ^99mTc-nanocolloid were injected with "free" ICG immediately prior to surgery ("free" ICG group). Before unblinding, fluorescence-guidance was used for intraoperative SN identification. This was followed by extended pelvic lymph node dissection (ePLND). Following unblinding of the SPECT/CT images, the number of missed SN’s were recorded and their resection was pursued when the anatomy allowed. Results: Preoperative SPECT/CT revealed no differences in the SN identification rate between ICG-^99mTc-nanocolloid and ^99mTc-nanocolloid. However, fluorescence-guidance only allowed intraoperative removal of all SNs in 40% of patients in the hybrid tracer group and in 20% of patients in the "free" ICG group. Overall, 75.9% of the intraoperatively resected SNs in the hybrid tracer group and 51.8% of the SNs in the "free" ICG group were removed solely under fluorescence-guidance. During ePLND 22 additional SNs were resected (7 in the hybrid tracer group and 15 in the "free" ICG group). After unblinding 18 remaining SNs were identified (6 in the hybrid group and 12 in the "free" ICG group). In the "free" ICG group, ex vivo evaluation of the excised specimens revealed that 14 SNs removed under ePLND or after unblinding contained radioactivity but no fluorescence. Conclusion: The preoperative imaging roadmap provided by SPECT/CT enhanced the detection of prostate SNs in more ectopic locations in 17 of the 25 patients and the hybrid tracer ICG-^99mTc-nanocolloid was shown to outperform "free" ICG. Overall, fluorescence-guided pelvic nodal surgery underestimated the number of SNs in 60-80% of patients.

¹⁸F-PI-2620 is a positron emission tomography (PET) tracer with high binding affinity for aggregated tau, a key pathologic feature of Alzheimer’s disease (AD) and other neurodegenerative disorders. Preclinically, ¹⁸F-PI-2620 binds to both, 3R and 4R tau isoforms. The purpose of this first-in-human study was to evaluate the ability of ¹⁸F-PI-2620 to detect tau pathology in AD patients using PET imaging, as well as to assess its safety and tolerability of this new tau PET tracer. Methods: Participants with clinical diagnosis of probable AD and healthy controls (HC) underwent dynamic ¹⁸F-PI-2620 PET imaging for 180 min. ¹⁸F-PI-2620 binding was assessed visually and quantitatively using Distribution Volume Ratios (DVR) estimated from non-invasive tracer kinetics and standardized uptake value ratios (SUVR) measured at different time points post-injection (p.i.) with the cerebellar cortex as the reference region. Time-activity curves and SUVR were assessed in AD and HC, as well as DVR and SUVR correlations and effect size (Cohen’s d) over time. Results: ¹⁸F-PI-2620 showed peak brain uptake around 5 min p.i. and fast wash-out in non-target regions. In AD subjects, focal asymmetric uptake was evident in temporal and parietal lobes, precuneus, and posterior cingulate cortex. DVR and SUVR in these regions were significantly higher in AD compared to HC. Very low background signal was observed in HC. ¹⁸F-PI-2620 administration was safe and well tolerated. SUVR time activity curves in most regions and subjects achieved a secular equilibrium after 40 min p.i.. A strong correlation (R² > 0.93) was found between non-invasive DVR and SUVR for all imaging windows starting >30 min p.i.. Similar effect sizes between AD and HC groups were obtained across the different imaging windows. ¹⁸F-PI-2620 uptake in neocortical regions was significantly correlated with the degree of cognitive impairment. Conclusion: Initial clinical data obtained in AD and HC demonstrate the high image quality with excellent signal-to-noise of ¹⁸F-PI-2620 PET for imaging tau deposition in AD subjects. Non-invasive quantification using DVR and SUVR for 30 min imaging windows between 30-90 min p.i., e.g. 45-75 min, provides robust and significant discrimination between AD and HC subjects. ¹⁸F-PI-2620 uptake in expected regions is highly correlated to neurocognitive performance.

¹⁸F-PI-2620 is a next generation tau positron emission tomography (PET)-tracer that has demonstrated ability to image the spatial distribution of suspected tau pathology. The objective of this study was to assess the tracer biodistribution, dosimetry and quantitative methods of ¹⁸F-PI-2620 in the human brain. Full kinetic modelling approaches to quantify tau load were investigated. Non-invasive kinetic modeling approaches and semi-quantitative methods were evaluated against the full tracer kinetics. Finally, the reproducibility of PET measurements from test and retest scans was assessed. Methods: Three healthy controls (HC) and 4 Alzheimer disease (AD) subjects underwent two dynamic PET scans including arterial sampling. Distribution volume ratio (DVR) was estimated using full tracer kinetics (2 Tissue Compartment (2TC) models, Logan Graphical Analysis (LGA)) and non-invasive kinetic models (Non-Invasive Logan Graphical Analysis (NI-LGA) and the multilinear reference tissue model (MRTM2)). Standardized uptake value ratio (SUVR) was determined at different imaging windows after injection. Correlation between DVR and SUVR, effect size (Cohen’s d) and test-retest variability (TRV) were evaluated. Additionally, 6 HC subjects received one tracer administration and underwent whole-body PET for dosimetry calculation. Organ doses and the whole-body effective dose were calculated using OLINDA 2.0. Results: Strong correlation was found across different kinetic models (R2 >0.97) and between DVR(2TC) and SUVRs between 30 to 90 min with R2>0.95. Secular equilibrium was reached around 40 min post injection (p.i.) in most regions and subjects. The TRV and effect size for the SUVR across different regions was similar at 30-60 min (TRV=3.8%, d=3.80), 45-75 min (TRV=4.3%, d=3.77) and 60-90 min (TRV=4.9%, d=3.73) and increased at later time points. Elimination was via the hepatobiliary and urinary system. The whole-body effective dose was determined to be 33.3±2.1 μSv/MBq for an adult female and 33.1±1.4 μSv/MBq for an adult male with a 1.5 hour urinary bladder voiding interval. Conclusion: ¹⁸F-PI-2620 exhibits fast kinetics, suitable dosimetry and low TRV. DVR measured using the 2TC model with arterial sampling correlated strongly with DVR measured by NI-LGA, MRTM2 and SUVR. SUVR can be used for ¹⁸F-PI-2620 PET quantification of tau deposits avoiding arterial blood sampling. Static ¹⁸F-PI-2620 PET scans between 45-75min p.i. provide excellent quantification accuracy, large effect size and low TRV.

The purpose of this study was to assess the predictive and prognostic value of interim FDG PET (iPET) in evaluating early response to immuno-chemotherapy after two cycles (PET-2) in diffuse large B-cell lymphoma (DLBCL) by applying two different methods of interpretation: the Deauville visual five-point scale (5-PS) and a change in standardised uptake value by semi-quantitative evaluation. Methods: 145 patients with newly diagnosed DLBCL underwent pre-treatment PET (PET-0) and PET-2 assessment. PET-2 was classified according to both the visual 5-PS and percentage SUV changes (SUV). Receiver operating characteristic (ROC) analysis was performed to compare the accuracy of the two methods for predicting progression-free survival (PFS). Survival estimates, based on each method separately and combined, were calculated for iPET-positive (iPET+) and iPET-negative (iPET–) groups and compared. Results: Both with visual and SUV-based evaluations significant differences were found between the PFS of iPET– and iPET+ patient groups (p<0.001). Visually the best negative (NPV) and positive predictive value (PPV) occurred when iPET was defined as positive if Deauville score 4-5 (89% and 59%, respectively). Using the 66% SUV cut-off value, reported previously, NPV and PPV were 80 and 76%, respectively. SUV at 48.9% cut-off point, reported for the first time here, produced 100% specificity along with the highest sensitivity (24%). Visual and semi-quantitative SUV<48.9% assessment of each PET-2 gave the same PET-2 classification (positive or negative) in 70% (102/145) of all patients. This combined classification delivered NPV and PPV of 89% and 100% respectively, and all iPET+ patients failed to achieve or remain in remission. Conclusion: In this large consistently treated and assessed series of DLBCL, iPET had good prognostic value interpreted either visually or semi-quantitatively. We determined that the most effective SUV cut-off was at 48.9%, and that when combined with visual 5-PS assessment, a positive PET-2 was highly predictive of treatment failure.