Elhamy R Heba1, Ajinkya Desai1, Kevin A Zand1, Gavin Hamilton1, Tanya Wolfson2, Alexandra N Schlein1, Anthony Gamst2, Rohit Loomba3, Claude B Sirlin1, Michael S Middleton1. 1. Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA. 2. Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, San Diego, California, USA. 3. Department of Medicine (Division of Gastroenterology and Hepatology), University of California, San Diego, San Diego, California, USA.
Abstract
PURPOSE: To determine the accuracy and the effect of possible subject-based confounders of magnitude-based magnetic resonance imaging (MRI) for estimating hepatic proton density fat fraction (PDFF) for different numbers of echoes in adults with known or suspected nonalcoholic fatty liver disease, using MR spectroscopy (MRS) as a reference. MATERIALS AND METHODS: In this retrospective analysis of 506 adults, hepatic PDFF was estimated by unenhanced 3.0T MRI, using right-lobe MRS as reference. Regions of interest placed on source images and on six-echo parametric PDFF maps were colocalized to MRS voxel location. Accuracy using different numbers of echoes was assessed by regression and Bland-Altman analysis; slope, intercept, average bias, and R2 were calculated. The effect of age, sex, and body mass index (BMI) on hepatic PDFF accuracy was investigated using multivariate linear regression analyses. RESULTS: MRI closely agreed with MRS for all tested methods. For three- to six-echo methods, slope, regression intercept, average bias, and R2 were 1.01-0.99, 0.11-0.62%, 0.24-0.56%, and 0.981-0.982, respectively. Slope was closest to unity for the five-echo method. The two-echo method was least accurate, underestimating PDFF by an average of 2.93%, compared to an average of 0.23-0.69% for the other methods. Statistically significant but clinically nonmeaningful effects on PDFF error were found for subject BMI (P range: 0.0016 to 0.0783), male sex (P range: 0.015 to 0.037), and no statistically significant effect was found for subject age (P range: 0.18-0.24). CONCLUSION: Hepatic magnitude-based MRI PDFF estimates using three, four, five, and six echoes, and six-echo parametric maps are accurate compared to reference MRS values, and that accuracy is not meaningfully confounded by age, sex, or BMI.
PURPOSE: To determine the accuracy and the effect of possible subject-based confounders of magnitude-based magnetic resonance imaging (MRI) for estimating hepatic proton density fat fraction (PDFF) for different numbers of echoes in adults with known or suspected nonalcoholic fatty liver disease, using MR spectroscopy (MRS) as a reference. MATERIALS AND METHODS: In this retrospective analysis of 506 adults, hepatic PDFF was estimated by unenhanced 3.0T MRI, using right-lobe MRS as reference. Regions of interest placed on source images and on six-echo parametric PDFF maps were colocalized to MRS voxel location. Accuracy using different numbers of echoes was assessed by regression and Bland-Altman analysis; slope, intercept, average bias, and R2 were calculated. The effect of age, sex, and body mass index (BMI) on hepatic PDFF accuracy was investigated using multivariate linear regression analyses. RESULTS: MRI closely agreed with MRS for all tested methods. For three- to six-echo methods, slope, regression intercept, average bias, and R2 were 1.01-0.99, 0.11-0.62%, 0.24-0.56%, and 0.981-0.982, respectively. Slope was closest to unity for the five-echo method. The two-echo method was least accurate, underestimating PDFF by an average of 2.93%, compared to an average of 0.23-0.69% for the other methods. Statistically significant but clinically nonmeaningful effects on PDFF error were found for subject BMI (P range: 0.0016 to 0.0783), male sex (P range: 0.015 to 0.037), and no statistically significant effect was found for subject age (P range: 0.18-0.24). CONCLUSION: Hepatic magnitude-based MRI PDFF estimates using three, four, five, and six echoes, and six-echo parametric maps are accurate compared to reference MRS values, and that accuracy is not meaningfully confounded by age, sex, or BMI.
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
Authors: Geraldine H Kang; Irene Cruite; Masoud Shiehmorteza; Tanya Wolfson; Anthony C Gamst; Gavin Hamilton; Mark Bydder; Michael S Middleton; Claude B Sirlin Journal: J Magn Reson Imaging Date: 2011-07-18 Impact factor: 4.813
Authors: Jeffrey B Schwimmer; Michael S Middleton; Cynthia Behling; Kimberly P Newton; Hannah I Awai; Melissa N Paiz; Jessica Lam; Jonathan C Hooker; Gavin Hamilton; John Fontanesi; Claude B Sirlin Journal: Hepatology Date: 2015-02-05 Impact factor: 17.425
Authors: Yakir S Levin; Takeshi Yokoo; Tanya Wolfson; Anthony C Gamst; Julie Collins; Emil A Achmad; Gavin Hamilton; Michael S Middleton; Rohit Loomba; Claude B Sirlin Journal: J Magn Reson Imaging Date: 2013-05-29 Impact factor: 4.813
Authors: Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin Journal: Br J Radiol Date: 2018-06-06 Impact factor: 3.039
Authors: Guilherme Moura Cunha; Tydus T Thai; Gavin Hamilton; Yesenia Covarrubias; Alexandra Schlein; Michael S Middleton; Curtis N Wiens; Alan McMillan; Rashmi Agni; Luke M Funk; Guilherme M Campos; Santiago Horgan; Garth Jacobson; Tanya Wolfson; Anthony Gamst; Jeffrey B Schwimmer; Scott B Reeder; Claude B Sirlin Journal: Abdom Radiol (NY) Date: 2020-03