Literature DB >> 25920074

Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm.

Keitaro Sofue1,2, Achille Mileto1, Brian M Dale3, Xiaodong Zhong4, Mustafa R Bashir1,5.   

Abstract

PURPOSE: To assess the interexamination repeatability and spatial heterogeneity of liver iron and fat measurements using a magnetic resonance imaging (MRI)-based multistep adaptive fitting algorithm.
MATERIALS AND METHODS: This prospective observational study was Institutional Review Board-approved and Health Insurance Portability and Accountability Act-compliant. Written informed consent was waived. In all, 150 subjects were imaged on 3T MRI systems. A whole-liver volume acquisition was performed twice using a six-echo 3D spoiled gradient echo sequence during two immediately adjacent examinations. Colocalized regions of interest (ROIs) in three different hepatic segments were placed for R2 * and proton density fat fraction (PDFF) measurements by two readers independently. Mean R2 * and PDFF values between readers and acquisitions were compared using the Wilcoxon signed-rank test, intraclass correlation coefficients (ICCs), linear regression, Bland-Altman analysis, and analysis of variance (ANOVA).
RESULTS: The mean R2 * and PDFF values across all ROIs and measurements were 51.2 ± 25.2 s(-1) and 6.9 ± 6.4%, respectively. Mean R2 * and PDFF values showed no significant differences between the two acquisitions (P = 0.05-0.87). Between the two acquisitions, R2 * and PDFF values demonstrated almost perfect agreement (ICCs = 0.979-0.994) and excellent correlation (R(2)  = 0.958-0.989). Bland-Altman analysis also demonstrated excellent agreement. In the ANOVA, the individual patient and ROI location were significant effects for both R2 * and PDFF values (P < 0.05).
CONCLUSION: MRI-based R2 * and PDFF measurements are repeatable between examinations. Between-measurement changes in R2 * of more than 10.1 s(-1) and in PDFF of more than 1.7% are likely due to actual tissue changes. Liver iron and fat content are variable between hepatic segments.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  heterogeneity; liver fat; liver iron; magnetic resonance imaging; repeatability

Mesh:

Substances:

Year:  2015        PMID: 25920074     DOI: 10.1002/jmri.24922

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  22 in total

1.  Standardized Approach for ROI-Based Measurements of Proton Density Fat Fraction and R2* in the Liver.

Authors:  Camilo A Campo; Diego Hernando; Tilman Schubert; Candice A Bookwalter; Andrew J Van Pay; Scott B Reeder
Journal:  AJR Am J Roentgenol       Date:  2017-07-13       Impact factor: 3.959

2.  Agreement between manual relaxometry and semi-automated scanner-based multi-echo Dixon technique for measuring liver T2* in a pediatric and young adult population.

Authors:  Suraj D Serai; Ethan A Smith; Andrew T Trout; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2017-10-23

Review 3.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

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

Authors:  Jonathan C Hooker; Gavin Hamilton; Charlie C Park; Steven Liao; Tanya Wolfson; Soudabeh Fazeli Dehkordy; Cheng William Hong; Adrija Mamidipalli; Anthony Gamst; Rohit Loomba; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2019-02

Review 5.  Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials.

Authors:  Cyrielle Caussy; Scott B Reeder; Claude B Sirlin; Rohit Loomba
Journal:  Hepatology       Date:  2018-08       Impact factor: 17.425

6.  Hepatic steatosis and reduction in steatosis following bariatric weight loss surgery differs between segments and lobes.

Authors:  Soudabeh Fazeli Dehkordy; Kathryn J Fowler; Adrija Mamidipalli; Tanya Wolfson; Cheng William Hong; Yesenia Covarrubias; Jonathan C Hooker; Ethan Z Sy; Alexandra N Schlein; Jennifer Y Cui; Anthony C Gamst; Gavin Hamilton; Scott B Reeder; Claude B Sirlin
Journal:  Eur Radiol       Date:  2018-12-13       Impact factor: 5.315

7.  Feasibility of modified Dixon MRI techniques for hepatic fat quantification in hepatic disorders: validation with MRS and histology.

Authors:  Bo-Kyeong Kang; Mimi Kim; Soon-Young Song; Dae Won Jun; Kiseok Jang
Journal:  Br J Radiol       Date:  2017-11-08       Impact factor: 3.039

8.  3D Multi-Echo Dixon technique for simultaneous assessment of liver steatosis and iron overload in patients with chronic liver diseases: a feasibility study.

Authors:  Fubi Hu; Ru Yang; Zixing Huang; Min Wang; Fang Yuan; Chunchao Xia; Yi Wei; Bin Song
Journal:  Quant Imaging Med Surg       Date:  2019-06

9.  Longitudinal changes on liver proton density fat fraction differ between liver segments.

Authors:  Jan Syväri; Daniela Junker; Lisa Patzelt; Katharina Kappo; Loubna Al Sadat; Sonia Erfanian; Marcus R Makowski; Hans Hauner; Dimitrios C Karampinos
Journal:  Quant Imaging Med Surg       Date:  2021-05

10.  Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study.

Authors:  Houchun H Hu; Takeshi Yokoo; Mustafa R Bashir; Claude B Sirlin; Diego Hernando; Dariya Malyarenko; Thomas L Chenevert; Mark A Smith; Suraj D Serai; Michael S Middleton; Walter C Henderson; Gavin Hamilton; Jean Shaffer; Yunhong Shu; Jean A Tkach; Andrew T Trout; Nancy Obuchowski; Jean H Brittain; Edward F Jackson; Scott B Reeder
Journal:  Radiology       Date:  2021-01-19       Impact factor: 11.105

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