Spectroscopy‐based multi‐parametric quantification in subjects with liver iron overload at 1.5T and 3T. Issue 2 (23rd September 2021)

• Record Type: Journal Article
• Authors: Simchick, Gregory; Zhao, Ruiyang; Hamilton, Gavin; Reeder, Scott B.; Hernando, Diego
• Is Part Of: Magnetic resonance in medicine. Volume 87:Issue 2(2022)
• Page Start: 597
• Page End: 613
• Publication Date: 2021-09-23
• Subjects: chronic liver disease -- iron overload -- liver -- liver iron concentration -- MRS -- quantitative; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.29021
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To evaluate the precision profile (repeatability and reproducibility) of quantitative STEAM‐MRS and to determine the relationships between multiple MR biomarkers of chronic liver disease in subjects with iron overload at both 1.5 Tesla (T) and 3T. Methods: MRS data were acquired in patients with known or suspected liver iron overload. Two STEAM‐MRS sequences (multi‐TE and multi‐TE‐TR) were acquired at both 1.5T and 3T (same day), including test–retest acquisition. Each acquisition enabled estimation of R 1, R 2, and FWHM (each separately for water and fat); and proton density fat fraction. The test–retest repeatability and reproducibility across acquisition modes (multi‐TE vs. multi‐TE‐TR) of the estimates were evaluated using intraclass correlation coefficients, linear regression, and Bland‐Altman analyses. Multi‐parametric relationships between parameters at each field strength, across field strengths, and with liver iron concentration were also evaluated using linear and nonlinear regression. Results: Fifty‐six (n = 56) subjects (10 to 73 years, 37 males/19 females) were successfully recruited. Both STEAM‐MRS sequences demonstrated good‐to‐excellent precision (intraclass correlation coefficient ≥ 0.81) for the quantification of R 1 water, R 2 water, FWHMwater, and proton density fat fraction at both 1.5T and 3T. Additionally, several moderate ( R 2 = 0.50 to 0.69) to high ( R 2 ≥ 0.70) correlations were observed between biomarkers, across field strengths, and with liver iron concentration. Conclusions: Over a broad range of liver iron concentration, STEAM‐MRS enables rapid and precise measurement of multiple biomarkers of chronic liver disease. By evaluating the multi‐parametric relationships between biomarkers, this work may advance the comprehensive MRS‐based assessment of chronic liver disease and may help establish biomarkers of chronic liver disease.