Literature DB >> 30128694

Inter-reader agreement of magnetic resonance imaging proton density fat fraction and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis.

Jonathan C Hooker1, Gavin Hamilton1, Charlie C Park1, Steven Liao1, Tanya Wolfson2, Soudabeh Fazeli Dehkordy1, Cheng William Hong1, Adrija Mamidipalli1, Anthony Gamst2, Rohit Loomba3, Claude B Sirlin4.   

Abstract

PURPOSE: To determine the inter-reader agreement of magnetic resonance imaging proton density fat fraction (PDFF) and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis (NASH). STUDY TYPE: We performed a secondary analysis of a placebo-controlled randomized clinical trial of a bile acid sequestrant in 45 adults with NASH. A six-echo spoiled gradient-recalled-echo magnitude-based fat quantification technique was performed at 3 T. Three independent readers measured MRI-PDFF by placing one primary and two additional regions of interest (ROIs) in each segment at both time points. Cross-sectional agreement between the three readers was evaluated using intra-class correlation coefficients (ICCs) and coefficients of variation (CV). Additionally, we used Bland-Altman analyses to examine pairwise agreement between the three readers at baseline, end of treatment (EOT), and for longitudinal change.
RESULTS: Using all ROIs by all readers, mean PDFF at baseline, at EOT, and mean change in PDFF was 16.1%, 16.0%, and 0.07%, respectively. The 27-ROI PDFF measurements had 0.998 ICC and 1.8% CV at baseline, 0.998 ICC and 1.8% CV at EOT, and 0.997 ICC for longitudinal change. The 9-ROI PDFF measurements had corresponding values of 0.997 and 2.6%, 0.996 and 2.4%, and 0.994. Using 27 ROIs, the magnitude of the bias between readers for whole-liver PDFF measurement ranged from 0.03% to 0.06% points at baseline, 0.01% to 0.07% points at EOT, and 0.01% to 0.02% points for longitudinal change.
CONCLUSION: Inter-reader agreement for measuring whole-liver PDFF and its longitudinal change is high. 9-ROI measurements have only slightly lower agreement than 27-ROI measurements.

Entities:  

Keywords:  Inter-reader agreement; Liver; Proton density fat fraction (PDFF); Quantitative imaging biomarker; Region of interest; Reproducibility

Year:  2019        PMID: 30128694      PMCID: PMC6382605          DOI: 10.1007/s00261-018-1745-3

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  40 in total

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Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

2.  Effects of Insulin Glargine and Liraglutide Therapy on Liver Fat as Measured by Magnetic Resonance in Patients With Type 2 Diabetes: A Randomized Trial.

Authors:  An Tang; Rémi Rabasa-Lhoret; Hélène Castel; Claire Wartelle-Bladou; Guillaume Gilbert; Karine Massicotte-Tisluck; Gabriel Chartrand; Damien Olivié; Anne-Sophie Julien; Jacques de Guise; Gilles Soulez; Jean-Louis Chiasson
Journal:  Diabetes Care       Date:  2015-03-26       Impact factor: 19.112

3.  Reproducibility of MR-based liver fat quantification across field strength: Same-day comparison between 1.5T and 3T in obese subjects.

Authors:  Nathan S Artz; William M Haufe; Catherine A Hooker; Gavin Hamilton; Tanya Wolfson; Guilherme M Campos; Anthony C Gamst; Jeffrey B Schwimmer; Claude B Sirlin; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2015-01-23       Impact factor: 4.813

4.  Reproducibility of MRI-determined proton density fat fraction across two different MR scanner platforms.

Authors:  Geraldine H Kang; Irene Cruite; Masoud Shiehmorteza; Tanya Wolfson; Anthony C Gamst; Gavin Hamilton; Mark Bydder; Michael S Middleton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-07-18       Impact factor: 4.813

5.  Intra- and inter-examination repeatability of magnetic resonance spectroscopy, magnitude-based MRI, and complex-based MRI for estimation of hepatic proton density fat fraction in overweight and obese children and adults.

Authors:  Avishkar Tyagi; Omid Yeganeh; Yakir Levin; Jonathan C Hooker; Gavin C Hamilton; Tanya Wolfson; Anthony Gamst; Amir K Zand; Elhamy Heba; Rohit Loomba; Jeffrey Schwimmer; Michael S Middleton; Claude B Sirlin
Journal:  Abdom Imaging       Date:  2015-10

6.  Correlation between liver histology and novel magnetic resonance imaging in adult patients with non-alcoholic fatty liver disease - MRI accurately quantifies hepatic steatosis in NAFLD.

Authors:  Z Permutt; T-A Le; M R Peterson; E Seki; D A Brenner; C Sirlin; R Loomba
Journal:  Aliment Pharmacol Ther       Date:  2012-05-03       Impact factor: 8.171

7.  Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials.

Authors:  Mazen Noureddin; Jessica Lam; Michael R Peterson; Michael Middleton; Gavin Hamilton; Thuy-Anh Le; Ricki Bettencourt; Chris Changchien; David A Brenner; Claude Sirlin; Rohit Loomba
Journal:  Hepatology       Date:  2013-10-17       Impact factor: 17.425

8.  Diagnostic accuracy of magnetic resonance imaging hepatic proton density fat fraction in pediatric nonalcoholic fatty liver disease.

Authors:  Michael S Middleton; Mark L Van Natta; Elhamy R Heba; Adina Alazraki; Andrew T Trout; Prakash Masand; Elizabeth M Brunt; David E Kleiner; Edward Doo; James Tonascia; Joel E Lavine; Wei Shen; Gavin Hamilton; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Hepatology       Date:  2018-01-26       Impact factor: 17.425

9.  Inter-examination precision of magnitude-based MRI for estimation of segmental hepatic proton density fat fraction in obese subjects.

Authors:  Lindsey M Negrete; Michael S Middleton; Lisa Clark; Tanya Wolfson; Anthony C Gamst; Jessica Lam; Chris Changchien; Ivan M Deyoung-Dominguez; Gavin Hamilton; Rohit Loomba; Jeffrey Schwimmer; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2013-10-17       Impact factor: 4.813

10.  Inter-observer and Intra-observer Agreement in Pathological Evaluation of Non-alcoholic Fatty Liver Disease Suspected Liver Biopsies.

Authors:  Omid Pournik; Seyed Moayed Alavian; Leila Ghalichi; Bahram Seifizarei; Leila Mehrnoush; Azam Aslani; Soghra Anjarani; Saeid Eslami
Journal:  Hepat Mon       Date:  2014-01-03       Impact factor: 0.660

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1.  Point-of-care magnetic resonance technology to measure liver fat: Phantom and first-in-human pilot study.

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Journal:  Magn Reson Med       Date:  2022-05-25       Impact factor: 3.737

2.  CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF.

Authors:  Kyle Hasenstab; Guilherme Moura Cunha; Shintaro Ichikawa; Soudabeh Fazeli Dehkordy; Min Hee Lee; Soo Jin Kim; Alexandra Schlein; Yesenia Covarrubias; Claude B Sirlin; Kathryn J Fowler
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

3.  Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification.

Authors:  Cheng William Hong; Jennifer Y Cui; Danielle Batakis; Yang Xu; Tanya Wolfson; Anthony C Gamst; Alexandra N Schlein; Lindsey M Negrete; Michael S Middleton; Gavin Hamilton; Rohit Loomba; Jeffrey B Schwimmer; Kathryn J Fowler; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2021-02-20

4.  Comparison of reader agreement, correlation with liver biopsy, and time-burden sampling strategies for liver proton density fat fraction measured using magnetic resonance imaging in patients with obesity: a secondary cross-sectional study.

Authors:  Di Cao; Mengyi Li; Yang Liu; He Jin; Dawei Yang; Hui Xu; Han Lv; JIa Liu; Peng Zhang; Zhongtao Zhang; Zhenghan Yang
Journal:  BMC Med Imaging       Date:  2022-05-17       Impact factor: 1.930

  4 in total

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