Literature DB >> 35864263

Retrospective comparison of liver chemical shift-encoded PDFF sampling strategies in children and adolescents.

Vinicius de Padua V Alves1, Jonathan R Dillman1,2, Andrew T Trout3,4,5.   

Abstract

INTRODUCTION: Multiple region-of-interest (ROI) sampling strategies have been described for liver fat quantification by MRI PDFF. While adult studies have shown that sampling strategies including as few as four ROIs provide a reasonable tradeoff between laboriousness and quantitative performance, there is a paucity of similar data for pediatric patients.
PURPOSE: To assess agreement between different ROI sampling strategies for liver MRI PDFF analysis in children and adolescents.
MATERIALS AND METHODS: This retrospective, internal review board-approved study included clinical MRI PDFF acquisitions for 50 children and adolescents. Four different ROI sampling paradigms reported in the literature were reproduced to measure mean liver PDFF. An 18-ROI (2 in each Couinaud segment) paradigm was considered the reference standard. Spearman correlation, intraclass correlation coefficients (ICCs), and Bland-Altman analyses were used to quantify agreement.
RESULTS: Mean age for the 50 participants was 14 ± 2.5 years (range 8-17 years). Based on the 18-ROI paradigm, mean PDFF was significantly higher for the right lobe (24.0 ± 13.7% right, 22.0 ± 13.1% left; p = 0.001). PDFF values for each individual Couinaud segment were highly correlated with the reference standard (ρ = 0.977 to 0.993, p < 0.0001). PDFF values derived from all sampling paradigms, including strategies using large free-hand ROIs, were strongly correlated with the reference standard (ρ = 0.995 to 0.998, p < 0.0001) with excellent agreement (ICC range 0.995 to 0.998).
CONCLUSION: Liver PDFF sampling paradigms using large ROIs showed strong correlation, excellent agreement, and nonsignificant mean differences from a reference standard paradigm sampling every Couinaud segment in children. Paradigms that exclusively sample the right lobe may overestimate liver PDFF.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Adolescents; Children; Liver, PDFF; MRI; Pediatric; Steatosis, region-of-interest

Mesh:

Year:  2022        PMID: 35864263     DOI: 10.1007/s00261-022-03615-0

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  19 in total

1.  MRI-determined liver proton density fat fraction, with MRS validation: Comparison of regions of interest sampling methods in patients with type 2 diabetes.

Authors:  Kim-Nhien Vu; Guillaume Gilbert; Marianne Chalut; Miguel Chagnon; Gabriel Chartrand; An Tang
Journal:  J Magn Reson Imaging       Date:  2015-11-04       Impact factor: 4.813

2.  Spatial distribution of MRI-Determined hepatic proton density fat fraction in adults with nonalcoholic fatty liver disease.

Authors:  Susanne Bonekamp; An Tang; Arian Mashhood; Tanya Wolfson; Christopher Changchien; Michael S Middleton; Lisa Clark; Anthony Gamst; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2014-06       Impact factor: 4.813

3.  NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN).

Authors:  Miriam B Vos; Stephanie H Abrams; Sarah E Barlow; Sonia Caprio; Stephen R Daniels; Rohit Kohli; Marialena Mouzaki; Pushpa Sathya; Jeffrey B Schwimmer; Shikha S Sundaram; Stavra A Xanthakos
Journal:  J Pediatr Gastroenterol Nutr       Date:  2017-02       Impact factor: 2.839

4.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

Authors:  Terry K Koo; Mae Y Li
Journal:  J Chiropr Med       Date:  2016-03-31

5.  Agreement Between Magnetic Resonance Imaging Proton Density Fat Fraction Measurements and Pathologist-Assigned Steatosis Grades of Liver Biopsies From Adults With Nonalcoholic Steatohepatitis.

Authors:  Michael S Middleton; Elhamy R Heba; Catherine A Hooker; Mustafa R Bashir; Kathryn J Fowler; Kumar Sandrasegaran; Elizabeth M Brunt; David E Kleiner; Edward Doo; Mark L Van Natta; Joel E Lavine; Brent A Neuschwander-Tetri; Arun Sanyal; Rohit Loomba; Claude B Sirlin
Journal:  Gastroenterology       Date:  2017-06-15       Impact factor: 22.682

6.  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

7.  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

8.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

Authors:  An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2013-02-04       Impact factor: 11.105

Review 9.  Imaging-based quantification of hepatic fat: methods and clinical applications.

Authors:  Xiaozhou Ma; Nagaraj-Setty Holalkere; Avinash Kambadakone R; Mari Mino-Kenudson; Peter F Hahn; Dushyant V Sahani
Journal:  Radiographics       Date:  2009 Sep-Oct       Impact factor: 5.333

10.  Hepatic Steatosis is Negatively Associated with Bone Mineral Density in Children.

Authors:  Lauren F Chun; Elizabeth L Yu; Mary Catherine Sawh; Craig Bross; Jeanne Nichols; Lynda Polgreen; Cynthia Knott; Alexandra Schlein; Claude B Sirlin; Michael S Middleton; Deborah M Kado; Jeffrey B Schwimmer
Journal:  J Pediatr       Date:  2021-02-03       Impact factor: 6.314

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