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

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.

[1]  Berthold Kiefer,et al.  Liver fat quantification using a multi‐step adaptive fitting approach with multi‐echo GRE imaging , 2014, Magnetic resonance in medicine.

[2]  S. Reeder,et al.  Quantitative chemical shift‐encoded MRI is an accurate method to quantify hepatic steatosis , 2014, Journal of magnetic resonance imaging : JMRI.

[3]  Rohit Loomba,et al.  Effect of echo‐sampling strategy on the accuracy of out‐of‐phase and in‐phase multiecho gradient‐Echo MRI hepatic fat fraction estimation , 2014, Journal of magnetic resonance imaging : JMRI.

[4]  Scott Reeder,et al.  Effect of flip angle on the accuracy and repeatability of hepatic proton density fat fraction estimation by complex data‐based, T1‐independent, T2*‐corrected, spectrum‐modeled MRI , 2014, Journal of magnetic resonance imaging : JMRI.

[5]  Rohit Loomba,et al.  Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials , 2013, Hepatology.

[6]  S. Reeder,et al.  Multipeak fat‐corrected complex R2* relaxometry: Theory, optimization, and clinical validation , 2013, Magnetic resonance in medicine.

[7]  E. Merkle,et al.  Automated patient-tailored screening of the liver for diffuse steatosis and iron overload using MRI. , 2013, AJR. American journal of roentgenology.

[8]  Sabrina Fox‐Bosetti,et al.  Reproducibility of hepatic fat fraction measurement by magnetic resonance imaging , 2013, Journal of magnetic resonance imaging : JMRI.

[9]  R. Idilman,et al.  Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. , 2013, Radiology.

[10]  A. Gamst,et al.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis. , 2013, Radiology.

[11]  S. Reeder,et al.  Comparison of R2* correction methods for accurate fat quantification in fatty liver , 2013, Journal of magnetic resonance imaging : JMRI.

[12]  S. Reeder,et al.  Proton density fat‐fraction: A standardized mr‐based biomarker of tissue fat concentration , 2012, Journal of magnetic resonance imaging : JMRI.

[13]  H. Völzke,et al.  Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. , 2012, Radiology.

[14]  Brian M Dale,et al.  Automated liver sampling using a gradient dual‐echo Dixon‐based technique , 2012, Magnetic resonance in medicine.

[15]  Krishna S Nayak,et al.  Accelerated water–fat imaging using restricted subspace field map estimation and compressed sensing , 2012, Magnetic resonance in medicine.

[16]  S. Reeder,et al.  Addressing phase errors in fat‐water imaging using a mixed magnitude/complex fitting method , 2012, Magnetic resonance in medicine.

[17]  E. Merkle,et al.  Hepatic MR imaging for in vivo differentiation of steatosis, iron deposition and combined storage disorder: single-ratio in/opposed phase analysis vs. dual-ratio Dixon discrimination. , 2012, European journal of radiology.

[18]  A. Bleyer,et al.  Prevention and management of asparaginase/pegasparaginase-associated toxicities in adults and older adolescents: recommendations of an expert panel , 2011, Leukemia & lymphoma.

[19]  S. Reeder,et al.  Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy , 2011, Journal of magnetic resonance imaging : JMRI.

[20]  S. Reeder,et al.  Combination of complex‐based and magnitude‐based multiecho water‐fat separation for accurate quantification of fat‐fraction , 2011, Magnetic resonance in medicine.

[21]  K. Vigen,et al.  T1 independent, T2* corrected chemical shift based fat–water separation with multi‐peak fat spectral modeling is an accurate and precise measure of hepatic steatosis , 2011, Journal of magnetic resonance imaging : JMRI.

[22]  Scott B Reeder,et al.  Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. , 2011, Radiology.

[23]  S. Horgan,et al.  Estimation of hepatic proton-density fat fraction by using MR imaging at 3.0 T. , 2011, Radiology.

[24]  Peter Börnert,et al.  Spiral water–fat imaging with integrated off‐resonance correction on a clinical scanner , 2010, Journal of magnetic resonance imaging : JMRI.

[25]  Alexey Samsonov,et al.  Independent estimation of T*2 for water and fat for improved accuracy of fat quantification , 2010, Magnetic resonance in medicine.

[26]  László Ruskó,et al.  Liver segmentation for contrast-enhanced MR images using partitioned probabilistic model , 2010, International Journal of Computer Assisted Radiology and Surgery.

[27]  Xiaoping Hu,et al.  Measurement of hepatic lipid: high-speed T2-corrected multiecho acquisition at 1H MR spectroscopy--a rapid and accurate technique. , 2009, Radiology.

[28]  S. Reeder,et al.  Quantification of hepatic steatosis with MRI: The effects of accurate fat spectral modeling , 2009, Journal of magnetic resonance imaging : JMRI.

[29]  A. Gamst,et al.  Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. , 2009, Radiology.

[30]  Gang Chen,et al.  An Improved Level Set for Liver Segmentation and Perfusion Analysis in MRIs , 2009, IEEE Transactions on Information Technology in Biomedicine.

[31]  S. Reeder,et al.  Multiecho water‐fat separation and simultaneous R  2* estimation with multifrequency fat spectrum modeling , 2008, Magnetic resonance in medicine.

[32]  J. Schwimmer,et al.  Hepatic, Cardiovascular, and Endocrine Outcomes of the Histological Subphenotypes of Nonalcoholic Fatty Liver Disease , 2008, Seminars in liver disease.

[33]  A. Sherry,et al.  Composition of adipose tissue and marrow fat in humans by 1H NMR at 7 Tesla* , 2008, Journal of Lipid Research.

[34]  C. Sirlin,et al.  Effects of intravenous gadolinium administration and flip angle on the assessment of liver fat signal fraction with opposed‐phase and in‐phase imaging , 2008, Journal of magnetic resonance imaging : JMRI.

[35]  C. Sirlin,et al.  Relaxation effects in the quantification of fat using gradient echo imaging. , 2008, Magnetic resonance imaging.

[36]  Hyeonjin Kim,et al.  Comparative MR study of hepatic fat quantification using single‐voxel proton spectroscopy, two‐point dixon and three‐point IDEAL , 2008, Magnetic resonance in medicine.

[37]  S. Reeder,et al.  Multiecho reconstruction for simultaneous water‐fat decomposition and T2* estimation , 2007, Journal of magnetic resonance imaging : JMRI.

[38]  S. Reeder,et al.  Fat quantification with IDEAL gradient echo imaging: Correction of bias from T1 and noise , 2007, Magnetic resonance in medicine.

[39]  Norbert Hosten,et al.  Non-invasive quantification of hepatic fat fraction by fast 1.0, 1.5 and 3.0 T MR imaging. , 2007, European journal of radiology.

[40]  Scott B Reeder,et al.  Water–fat separation with IDEAL gradient‐echo imaging , 2007, Journal of magnetic resonance imaging : JMRI.

[41]  Robin M Heidemann,et al.  Controlled aliasing in volumetric parallel imaging (2D CAIPIRINHA) , 2006, Magnetic resonance in medicine.

[42]  H. Hussain,et al.  Hepatic fat fraction: MR imaging for quantitative measurement and display--early experience. , 2005, Radiology.

[43]  G. Targher,et al.  Nonalcoholic fatty liver disease and risk of future cardiovascular events among type 2 diabetic patients. , 2005, Diabetes.

[44]  S. Sanderson,et al.  The natural history of nonalcoholic fatty liver disease: a population-based cohort study. , 2005, Gastroenterology.

[45]  Jingfei Ma,et al.  Breath‐hold water and fat imaging using a dual‐echo two‐point dixon technique with an efficient and robust phase‐correction algorithm , 2004, Magnetic resonance in medicine.

[46]  J. Hart,et al.  Histopathological Features of L-Asparaginase-Induced Liver Disease , 2003, Seminars in liver disease.

[47]  Jeanne M Clark,et al.  Defining nonalcoholic fatty liver disease: implications for epidemiologic studies. , 2003, Gastroenterology.

[48]  B. Bacon,et al.  Hepatic iron and nonalcoholic fatty liver disease , 1999, Hepatology.

[49]  Z. Younossi,et al.  Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity. , 1999, Gastroenterology.

[50]  A. Rothman,et al.  Iron and chronic viral hepatitis , 1997, Hepatology.

[51]  G H Glover,et al.  Three‐point dixon technique for true water/fat decomposition with B0 inhomogeneity correction , 1991, Magnetic resonance in medicine.

[52]  W. T. Dixon Simple proton spectroscopic imaging. , 1984, Radiology.