Literature DB >> 25615751

Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.

Mustafa R Bashir1, Xiaodong Zhong, Marcel D Nickel, Ghaneh Fananapazir, Stephan A R Kannengiesser, Berthold Kiefer, Brian M Dale.   

Abstract

OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) for the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold. Proton density fat fraction and rate constant (R2*) using both single- and dual-R2* hybrid fitting methods, as well as proton density fat fraction and R2* maps using a complex fitting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R2* maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0.98 to 1.01, and intercepts ranged from -1.12% to 0.49%. Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of -1.0% to 0.6% (SD, 1.3-1.6%). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density fat fraction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable biomarker.

Entities:  

Keywords:  fat fraction; hepatic steatosis; proton density fat fraction

Mesh:

Substances:

Year:  2015        PMID: 25615751     DOI: 10.2214/AJR.14.12457

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


  32 in total

1.  Quantification of early fatty infiltration of the rotator cuff muscles: comparison of multi-echo Dixon with single-voxel MR spectroscopy.

Authors:  Christoph A Agten; Andrea B Rosskopf; Christian Gerber; Christian W A Pfirrmann
Journal:  Eur Radiol       Date:  2015-12-17       Impact factor: 5.315

2.  Hepatic fat quantification using the proton density fat fraction (PDFF): utility of free-drawn-PDFF with a large coverage area.

Authors:  Kun Young Kim; Ji Soo Song; Stephan Kannengiesser; Young Min Han
Journal:  Radiol Med       Date:  2015-05-08       Impact factor: 3.469

3.  Validation of Peripheral Quantitative Computed Tomography-Derived Thigh Adipose Tissue Subcompartments in Young Girls Using a 3 T MRI Scanner.

Authors:  Robert M Blew; Vinson R Lee; Jennifer W Bea; Megan C Hetherington-Rauth; Jean-Phillipe Galons; Maria I Altbach; Timothy G Lohman; Scott B Going
Journal:  J Clin Densitom       Date:  2018-03-23       Impact factor: 2.617

4.  Evaluation of six-point modified dixon and magnetic resonance spectroscopy for fat quantification: a fat-water-iron phantom study.

Authors:  Kei Fukuzawa; Tatsuya Hayashi; Junji Takahashi; Chiharu Yoshihara; Masakatsu Tano; Jun'ichi Kotoku; Satoshi Saitoh
Journal:  Radiol Phys Technol       Date:  2017-08-02

Review 5.  Fat Quantification in the Abdomen.

Authors:  Cheng William Hong; Soudabeh Fazeli Dehkordy; Jonathan C Hooker; Gavin Hamilton; Claude B Sirlin
Journal:  Top Magn Reson Imaging       Date:  2017-12

6.  Accelerating multi-echo water-fat MRI with a joint locally low-rank and spatial sparsity-promoting reconstruction.

Authors:  Felix Lugauer; Dominik Nickel; Jens Wetzl; Berthold Kiefer; Joachim Hornegger; Andreas Maier
Journal:  MAGMA       Date:  2016-11-07       Impact factor: 2.310

Review 7.  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

8.  Inter- and intra-observer variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population.

Authors:  Lena Sophie Kiefer; Jana Fabian; Roberto Lorbeer; Jürgen Machann; Corinna Storz; Mareen Sarah Kraus; Elke Wintermeyer; Christopher Schlett; Frank Roemer; Konstantin Nikolaou; Annette Peters; Fabian Bamberg
Journal:  Br J Radiol       Date:  2018-05-03       Impact factor: 3.039

9.  Free-breathing quantification of hepatic fat in healthy children and children with nonalcoholic fatty liver disease using a multi-echo 3-D stack-of-radial MRI technique.

Authors:  Tess Armstrong; Karrie V Ly; Smruthi Murthy; Shahnaz Ghahremani; Grace Hyun J Kim; Kara L Calkins; Holden H Wu
Journal:  Pediatr Radiol       Date:  2018-05-04

10.  MRI proton density fat fraction is robust across the biologically plausible range of triglyceride spectra in adults with nonalcoholic steatohepatitis.

Authors:  Cheng William Hong; Adrija Mamidipalli; Jonathan C Hooker; Gavin Hamilton; Tanya Wolfson; Dennis H Chen; Soudabeh Fazeli Dehkordy; Michael S Middleton; Scott B Reeder; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2017-08-29       Impact factor: 4.813

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