Literature DB >> 28705058

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

Camilo A Campo1, Diego Hernando1,2, Tilman Schubert1,3, Candice A Bookwalter1,4, Andrew J Van Pay1, Scott B Reeder1,2,5,6,7.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the reproducibility (interreviewer agreement) and repeatability (intrareviewer agreement) of ROI sampling strategies to measure chemical shift-encoded (CSE) MRI-based liver proton density fat fraction (PDFF) and R2* (1 / T2*). A secondary purpose was to standardize ROI-based liver PDFF and R2* measurements by providing a compromise between measurement reproducibility and repeatability and time burden for image analysts.
MATERIALS AND METHODS: CSE data from two cohorts were retrospectively analyzed. Cohort A included 53 patients referred for abdominal MRI and healthy subjects recruited for a comparison study of CT and MRI. Cohort B included 37 patients with suspected liver iron overload. Three reviewers measured liver PDFF and R2* using previously reported ROI sampling strategies. Inter- and intrareviewer agreement of liver PDFF and R2* were evaluated using Bland-Altman analysis.
RESULTS: Averaging largest-fit ROIs over the nine Couinaud segments resulted in the narrowest limits of agreement (LOA) for liver PDFF and R2* measurements in both cohorts. For PDFF, interreviewer agreement had mean LOA of ± 0.8% for cohort A and ± 1.7% for cohort B. Intrareviewer agreement was ± 0.5% for cohort A and ± 0.9% for cohort B. For R2* interre-viewer agreement had mean LOA of ± 3.0 s-1 for cohort A and ± 17.9 s-1 for cohort B. Intrare-viewer agreement was ± 2.6 s-1 for cohort A and ± 14.6 s-1 for cohort B. This approach was the most time-burdensome, requiring a mean ± SD of 149.7 ± 8.6 s per dataset.
CONCLUSION: For improved reproducibility and repeatability of liver PDFF and R2* measurements, clinicians and researchers should sample as much area of the liver as possible using multiple large ROIs.

Entities:  

Keywords:  MRI; R2*; ROI; liver disease; proton density fat fraction

Mesh:

Substances:

Year:  2017        PMID: 28705058      PMCID: PMC5639884          DOI: 10.2214/AJR.17.17812

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  37 in total

1.  Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance.

Authors:  Timothy G St Pierre; Paul R Clark; Wanida Chua-anusorn; Adam J Fleming; Gary P Jeffrey; John K Olynyk; Pensri Pootrakul; Erin Robins; Robert Lindeman
Journal:  Blood       Date:  2004-07-15       Impact factor: 22.113

2.  Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population.

Authors:  Lidia S Szczepaniak; Pamela Nurenberg; David Leonard; Jeffrey D Browning; Jason S Reingold; Scott Grundy; Helen H Hobbs; Robert L Dobbins
Journal:  Am J Physiol Endocrinol Metab       Date:  2004-08-31       Impact factor: 4.310

3.  MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients.

Authors:  John C Wood; Cathleen Enriquez; Nilesh Ghugre; J Michael Tyzka; Susan Carson; Marvin D Nelson; Thomas D Coates
Journal:  Blood       Date:  2005-04-28       Impact factor: 22.113

4.  Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise.

Authors:  Chia-Ying Liu; Charles A McKenzie; Huanzhou Yu; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

5.  Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling.

Authors:  Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Ethan Brodsky; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

6.  Non-invasive assessment of hepatic iron stores by MRI.

Authors:  Y Gandon; D Olivié; D Guyader; C Aubé; F Oberti; V Sebille; Y Deugnier
Journal:  Lancet       Date:  2004-01-31       Impact factor: 79.321

7.  R2* magnetic resonance imaging of the liver in patients with iron overload.

Authors:  Jane S Hankins; M Beth McCarville; Ralf B Loeffler; Matthew P Smeltzer; Mihaela Onciu; Fredric A Hoffer; Chin-Shang Li; Winfred C Wang; Russell E Ware; Claudia M Hillenbrand
Journal:  Blood       Date:  2009-03-04       Impact factor: 22.113

8.  Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T.

Authors:  Takeshi Yokoo; Mark Bydder; Gavin Hamilton; Michael S Middleton; Anthony C Gamst; Tanya Wolfson; Tarek Hassanein; Heather M Patton; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2009-02-12       Impact factor: 11.105

9.  Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.

Authors:  Diego Hernando; P Kellman; J P Haldar; Z-P Liang
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

10.  T2* relaxometry in liver, pancreas, and spleen in a healthy cohort of one hundred twenty-nine subjects-correlation with age, gender, and serum ferritin.

Authors:  Nina F Schwenzer; Jürgen Machann; Michael M Haap; Petros Martirosian; Christina Schraml; Gerd Liebig; Norbert Stefan; Hans-Ulrich Häring; Claus D Claussen; Andreas Fritsche; Fritz Schick
Journal:  Invest Radiol       Date:  2008-12       Impact factor: 6.016

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  28 in total

1.  Predictive value of combined computed tomography volumetry and magnetic resonance elastography for major complications after liver resection.

Authors:  Kazu Shibutani; Masahiro Okada; Jitsuro Tsukada; Kenji Ibukuro; Hayato Abe; Naoki Matsumoto; Yutaka Midorikawa; Mitsuhiko Moriyama; Tadatoshi Takayama
Journal:  Abdom Radiol (NY)       Date:  2021-03-08

2.  Diurnal Variation of Proton Density Fat Fraction in the Liver Using Quantitative Chemical Shift Encoded MRI.

Authors:  Timothy J Colgan; Andrew J Van Pay; Samir D Sharma; Lu Mao; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2019-06-06       Impact factor: 4.813

3.  T1 -corrected quantitative chemical shift-encoded MRI.

Authors:  Xiaoke Wang; Timothy J Colgan; Louis A Hinshaw; Nathan T Roberts; Leah C Henze Bancroft; Gavin Hamilton; Diego Hernando; Scott B Reeder
Journal:  Magn Reson Med       Date:  2019-11-14       Impact factor: 4.668

4.  Validation of a motion-robust 2D sequential technique for quantification of hepatic proton density fat fraction during free breathing.

Authors:  B Dustin Pooler; Diego Hernando; Jeannine A Ruby; Hiroshi Ishii; Ann Shimakawa; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2018-04-17       Impact factor: 4.813

5.  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 6.  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

7.  Free-breathing liver fat and R 2 quantification using motion-corrected averaging based on a nonlocal means algorithm.

Authors:  Huiwen Luo; Ante Zhu; Curtis N Wiens; Jitka Starekova; Ann Shimakawa; Scott B Reeder; Kevin M Johnson; Diego Hernando
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

Review 8.  Liver fat quantification: where do we stand?

Authors:  Jitka Starekova; Scott B Reeder
Journal:  Abdom Radiol (NY)       Date:  2020-10-06

9.  Effect of noise and estimator type on bias for analysis of liver proton density fat fraction.

Authors:  Edward M Lawrence; Nathan T Roberts; Diego Hernando; Lu Mao; Scott B Reeder
Journal:  Magn Reson Imaging       Date:  2020-10-02       Impact factor: 2.546

10.  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
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