Literature DB >> 31172210

Measurement of spleen fat on MRI-proton density fat fraction arises from reconstruction of noise.

Cheng William Hong1,2, Gavin Hamilton3, Catherine Hooker3, Charlie C Park3, Calvin Andrew Tran3, Walter C Henderson3, Jonathan C Hooker3, Soudabeh Fazeli Dehkordy3, Jeffrey B Schwimmer4,5, Scott B Reeder6, Claude B Sirlin7,8.   

Abstract

PURPOSE: This study compares splenic proton density fat fraction (PDFF) measured using confounder-corrected chemical shift-encoded (CSE)-MRI to magnetic resonance spectroscopy (MRS) in human patients at 3T.
METHODS: This was a prospectively designed ancillary study to various previously described single-center studies performed in adults and children with known or suspected nonalcoholic fatty liver disease. Patients underwent magnitude-based MRI (MRI-M), complex-based MRI (MRI-C), high signal-to-noise variants (Hi-SNR MRI-M and Hi-SNR MRI-C), and MRS at 3T for spleen PDFF estimation. PDFF from CSE-MRI methods were compared to MRS-PDFF using Wilcoxon signed-rank tests. Demographics were summarized descriptively. Spearman's rank correlations were computed pairwise between CSE-MRI methods. Individual patient measurements were plotted for qualitative assessment. A significance level of 0.05 was used.
RESULTS: Forty-seven patients (20 female, 27 male) including 12 adults (median 55 years old) and 35 children (median 12 years old). Median PDFF estimated by MRS, MRI-M, Hi-SNR MRI-M, MRI-C, and Hi-SNR MRI-C was 1.0, 2.3, 1.9, 2.2, and 2.0%. The four CSE-MRI methods estimated statistically significant higher spleen PDFF values compared to MRS (p < 0.0001 for all). Pairwise associations in spleen PDFF values measured by different CSE-MRI methods were weak, with the highest Spearman's rank correlations being 0.295 between MRI-M and Hi-SNR MRI-M; none were significant after correction for multiple comparisons. No qualitative relationship was observed between PDFF measurements among the various methods.
CONCLUSION: Overestimation of PDFF by CSE-MRI compared to MRS and poor agreement between related CSE-MRI methods suggest that non-zero PDFF values in human spleen are artifactual.

Entities:  

Keywords:  Artifactual; CSE-MRI; Fat quantification; Spectroscopy; Spleen

Mesh:

Year:  2019        PMID: 31172210      PMCID: PMC7275729          DOI: 10.1007/s00261-019-02079-z

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  41 in total

1.  Relaxation effects in the quantification of fat using gradient echo imaging.

Authors:  Mark Bydder; Takeshi Yokoo; Gavin Hamilton; Michael S Middleton; Alyssa D Chavez; Jeffrey B Schwimmer; Joel E Lavine; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-02-21       Impact factor: 2.546

2.  Improved method for accurate and efficient quantification of MRS data with use of prior knowledge

Authors: 
Journal:  J Magn Reson       Date:  1997-11       Impact factor: 2.229

Review 3.  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

Review 4.  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

5.  Noise properties of proton density fat fraction estimated using chemical shift-encoded MRI.

Authors:  Nathan T Roberts; Diego Hernando; James H Holmes; Curtis N Wiens; Scott B Reeder
Journal:  Magn Reson Med       Date:  2018-01-10       Impact factor: 4.668

6.  Accuracy of PDFF estimation by magnitude-based and complex-based MRI in children with MR spectroscopy as a reference.

Authors:  William M Haufe; Tanya Wolfson; Catherine A Hooker; Jonathan C Hooker; Yesenia Covarrubias; Alex N Schlein; Gavin Hamilton; Michael S Middleton; Jorge E Angeles; Diego Hernando; Scott B Reeder; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2017-03-21       Impact factor: 4.813

7.  Gut Microbiome-Based Metagenomic Signature for Non-invasive Detection of Advanced Fibrosis in Human Nonalcoholic Fatty Liver Disease.

Authors:  Rohit Loomba; Victor Seguritan; Weizhong Li; Tao Long; Niels Klitgord; Archana Bhatt; Parambir Singh Dulai; Cyrielle Caussy; Richele Bettencourt; Sarah K Highlander; Marcus B Jones; Claude B Sirlin; Bernd Schnabl; Lauren Brinkac; Nicholas Schork; Chi-Hua Chen; David A Brenner; William Biggs; Shibu Yooseph; J Craig Venter; Karen E Nelson
Journal:  Cell Metab       Date:  2017-05-02       Impact factor: 27.287

8.  Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy.

Authors:  Sina Meisamy; Catherine D G Hines; Gavin Hamilton; Claude B Sirlin; Charles A McKenzie; Huanzhou Yu; Jean H Brittain; Scott B Reeder
Journal:  Radiology       Date:  2011-01-19       Impact factor: 11.105

9.  The effects of concomitant gradients on chemical shift encoded MRI.

Authors:  Timothy J Colgan; Diego Hernando; Samir D Sharma; Scott B Reeder
Journal:  Magn Reson Med       Date:  2016-09-21       Impact factor: 4.668

10.  High SNR Acquisitions Improve the Repeatability of Liver Fat Quantification Using Confounder-corrected Chemical Shift-encoded MR Imaging.

Authors:  Utaroh Motosugi; Diego Hernando; Curtis Wiens; Peter Bannas; Scott B Reeder
Journal:  Magn Reson Med Sci       Date:  2017-02-13       Impact factor: 2.471

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