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PurposeTo compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD).MethodsThis was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27-70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low-calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired t test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs).ResultsMRI-M PDFF estimates were lower by 0.5-0.7% compared with those of MRI-C at all visits (p

BackgroundOpioid analgesics are often prescribed to manage pain after bariatric surgery, which may develop into chronic prescription opioid use (CPOU) in opioid-naïve patients. Bariatric surgery may affect opioid use in those with or without presurgical CPOU.ObjectiveTo compare CPOU persistence and incidence in a large multisite cohort of veterans undergoing bariatric surgery (open Roux-en-Y gastric bypass, laparoscopic RYGB, or laparoscopic sleeve gastrectomy) and matched nonsurgical controls.SettingVeterans Administration hospitals.MethodsIn a retrospective cohort study, we matched 1117 surgical patients with baseline CPOU to 9531 nonsurgical controls, and 2822 surgical patients without CPOU at baseline to 26,392 nonsurgical controls using sequential stratification. CPOU persistence in veterans with baseline CPOU was estimated using generalized estimating equations by procedure type. CPOU incidence in veterans without baseline CPOU was estimated in Cox regression models by procedure type because postoperative pain, complications, and absorption may differ by procedure.ResultsIn veterans with baseline CPOU, postsurgical CPOU declined over time for each surgical procedure; these trends did not differ between surgical patients and nonsurgical controls. In veterans without baseline CPOU, compared with nonsurgical controls, bariatric patients had higher CPOU incidence within 5 years after open Roux-en-Y gastric bypass (hazard ratio = 1.19; 95% confidence interval: 1.06-1.34) or laparoscopic open Roux-en-Y gastric bypass (hazard ratio = 1.22, 95% confidence interval: 1.06-1.41). Veterans undergoing laparoscopic sleeve gastrectomy had higher CPOU incidence 1 to 5 years after surgery (hazard ratio = 1.28; 95% confidence interval: 1.05-1.56) than nonsurgical controls.ConclusionsBariatric surgery was associated with greater risk of CPOU incidence in patients without baseline CPOU but was not associated with greater CPOU persistence.

PurposeMRI proton density fat fraction (PDFF) can be calculated using magnitude (MRI-M) or complex (MRI-C) MRI data. The purpose of this study was to identify, assess, and compare the accuracy of common PDFF thresholds for MRI-M and MRI-C for assessing hepatic steatosis in patients with obesity, using histology as reference.MethodsThis two-center prospective study included patients undergoing MRI-C- and MRI-M-PDFF estimations within 3 days before weight loss surgery. Liver biopsy was performed, and histology-determined steatosis grades were used as reference standard. Using receiver operating characteristics (ROC) analysis on data pooled from both methods, single common thresholds for diagnosing and differentiating none or mild (0-1) from moderate to severe steatosis (2-3) were selected as the ones achieving the highest sensitivity while providing at least 90% specificity. Selection methods were cross-validated. Performances were compared using McNemar's tests.ResultsOf 81 included patients, 54 (67%) had steatosis. The common PDFF threshold for diagnosing steatosis was 5.4%, which provided a cross-validated 0.88 (95% CI 0.77-0.95) sensitivity and 0.92 (0.75-0.99) specificity for MRI-M and 0.87 sensitivity (0.75-0.94) with 0.81 (0.61-0.93) specificity for MRI-C. The common PDFF threshold to differentiate steatosis grades 0-1 from 2 to 3 was 14.7%, which provided cross-validated 0.86 (95% CI 0.59-0.98) sensitivity and 0.95 (0.87-0.99) specificity for MRI-M and 0.93 sensitivity (0.68-0.99) with 0.97(0.89-0.99) specificity for MRI-C.ConclusionIf independently validated, diagnostic thresholds of 5.4% and 14.7% could be adopted for both techniques for detecting and differentiating none to mild from moderate to severe steatosis, respectively, with high diagnostic accuracy.

Purpose To longitudinally monitor liver fat before and after bariatric surgery by using quantitative chemical shift-encoded (CSE) MRI and to compare with changes in body mass index (BMI), weight, and waist circumference (WC). Materials and Methods For this prospective study, which was approved by the internal review board, a total of 126 participants with obesity who were undergoing evaluation for bariatric surgery with preoperative very low calorie diet (VLCD) were recruited from June 27, 2010, through May 5, 2015. Written informed consent was obtained from all participants. Participants underwent CSE MRI measuring liver proton density fat fraction (PDFF) before VLCD (2-3 weeks before surgery), after VLCD (1-3 days before surgery), and 1, 3, and 6-10 months following surgery. Linear regression was used to estimate rates of change of PDFF (ΔPDFF) and body anthropometrics. Initial PDFF (PDFF0), initial anthropometrics, and anthropometric rates of change were evaluated as predictors of ΔPDFF. Mixed-effects regression was used to estimate time to normalization of PDFF. Results Fifty participants (mean age, 51.0 years; age range, 27-70 years), including 43 women (mean age, 50.8 years; age range, 27-70 years) and seven men (mean age, 51.7 years; age range, 36-62 years), with mean PDFF0 ± standard deviation of 18.1% ± 8.6 and mean BMI0 of 44.9 kg/m2 ± 6.5 completed the study. By 6-10 months following surgery, mean PDFF decreased to 4.9% ± 3.4 and mean BMI decreased to 34.5 kg/m2 ± 5.4. Mean estimated time to PDFF normalization was 22.5 weeks ± 11.5. PDFF0 was the only strong predictor for both ΔPDFF and time to PDFF normalization. No body anthropometric correlated with either outcome. Conclusion Average liver proton density fat fraction (PDFF) decreased to normal (< 5%) by 6-10 months following surgery, with mean time to normalization of approximately 5 months. Initial PDFF was a strong predictor of both rate of change of PDFF and time to normalization. Body anthropometrics did not predict either outcome. Online supplemental material is available for this article. © RSNA, 2018.

IntroductionNonalcoholic fatty liver disease (NAFLD) is an epidemic in the obese population. Bariatric surgery is known to reverse multiple metabolic complications of obesity such as diabetes, dyslipidemia, and NAFLD, but the timing of liver changes has not been well described.Materials and methodsThis was an IRB-approved, two-institutional prospective study. Bariatric patients received MRIs at baseline and after a pre-operative liquid diet. Liver biopsies were performed during surgery and if NAFLD positive, the patients received MRIs at 1, 3, and 6 months. Liver volumes and proton-density fat fraction (PDFF) were calculated from offline MRI images. Primary outcomes were changes in weight, body mass index (BMI), percent excess weight loss (EWL%), liver volume, and PDFF. Resolution of steatosis, as defined as PDFF

To assess and compare the diagnostic performance of magnitude-reconstruction chemical-shift-encoded magnetic resonance imaging (MRI-M) and complex-reconstruction chemical-shift-encoded magnetic resonance imaging (MRI-C) for diagnosis of hepatic steatosis in subjects with severe obesity without known non-alcoholic fatty liver disease (NAFLD), using contemporaneous histology as reference. This is an IRB-approved, HIPAA-compliant, two-center, cross-sectional study of a larger prospective trail that recruited patients without known NAFLD consecutively between October 2010 and March 2015 to undergo research MRI exams 1-2 days prior to clinical-care weight-loss surgery. Proton denisty fat fraction (PDFF) was estimated using MRI-M and MRI-C. Liver biopsies were obtained intraoperatively. Using histologically-determined presence of steatosis as the reference standard, receiver operating characteristics (ROC) analyses were used to identify MRI-M- and MRI-C-derived PDFF thresholds for diagnosing steatosis. Bootstrapped-based tests were used to compare their diagnostic performace. A total of 81 patients (67 female, 14 maile, average age 48.2) were recruited for this study. MRI-M and MRI-C had areas under the ROC curve of 0.951 and 0.947, respectively, for diagnosing hepatic steatosis. for MRI-M, the Youden-index-based PDFF threshold of 6.5% provided 0.87 sensitivity (95% confidence internal: 0/75, 0.95), 0.96 specificity (0.81, 0.99), and 0.90 total accuracy (0.82, 0.96). For MRI-C, a PDFF threshold of 6.8%, provided a 0.90 sensitivity (0.77, 0.96), 0.96 specificity (0.81, 0.99), and 0.91 total accuracy (0.83, 0.97). Differences in performance parameters between MRI-M and MRI-C were not statistically significant. Conclusion: MRI-M- and MRI-C-derived PDFF is accurate for non-invasive diagnosis of hepatic steatosis in subjects with severe obesity.

Aim: To compare the incidence of adverse events (AEs) related to antiobesity medications (AOMs; glucagon‐like peptide‐1 receptor agonists [GLP‐1RAs] vs. non‐GLP‐1RAs) after bariatric surgery. Methods: This single‐centre retrospective cohort included patients (aged 16–65 years) who had undergone laparoscopic Roux‐en‐Y gastric bypass or sleeve gastrectomy (cohort entry date) and initiated AOMs. Participants were categorized as users of US Food and Drug Administration (FDA)‐approved, off‐label, or GLP‐1RA AOMs if documented as receiving the medication on or after cohort entry date. Non‐GLP‐1RA AOMs were phentermine, orlistat, topiramate, canagliflozin, dapagliflozin, empagliflozin, naltrexone, bupropion/naltrexone and phentermine/topiramate. GLP‐1RA AOMs included: semaglutide, dulaglutide, exenatide and liraglutide. The primary outcome was AE incidence. Logistic regression was used to determine the association of AOM exposure with AEs. Results: We identified 599 patients meeting our inclusion criteria, 83% of whom were female. Their median (interquartile range [IQR]) age was 47.8 (40.9–55.4) years. The median duration of surgery to AOM exposure was 30 months. GLP‐1RAs use was not associated with higher odds of AEs: adjusted odds ratio (aOR) 1.1 (95% confidence interval [CI] 0.5–2.6) and aOR 1.1 (95% CI 0.6–2.3) for GLP‐1RA versus FDA‐approved and off‐label AOM use, respectively. AOM initiation ≥12 months after surgery was associated with lower risk of AEs compared to <12 months (aOR 0.01 [95% CI 0.0–0.01]; p < 0.001). Conclusion: Our results showed that GLP‐1RA AOMs were not associated with an increased risk of AEs compared to non‐GLP‐1RA AOMs in patients who had previously undergone bariatric surgery. Prospective studies are needed to identify the optimal timeframe for GLP‐1RA initiation. [ABSTRACT FROM AUTHOR]