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Abstract Aims: MRI-PDFF is a promising non-invasive method of quantifying liver fat. This study assessed the reproducibility and repeatability of MRI-based PDFF in NAFLD patients, the consistency between different ROI sampling strategies, as well as the learning time burden of PDFF measurement. Methods: 90 NAFLD patients and 30 healthy people were enrolled in this cross-sectional study. Three reviewers measured liver PDFF by circling ROIs in four segments, nine Couinaud segments, and a random place on the PDFF map, respectively. Bland-Altman analysis and ICC were used to evaluate the inter- and intra-reviewer agreements for liver PDFF. Results: Circling ROIs within nine Couinaud segments had the narrowest limit of agreement (LOA) for PDFF measurements. For all 120 subjects, the intra-reviewer agreement had mean LOA of ±0.9% for three strategies, while the inter-reviewer agreement had mean LOA of ± 0.93%. We additionally determined that inter-group consistency increased with decreasing liver fat content for all ROI-circling strategies. The CUSUM learning curve shows that after 17 cases, beginners circled the ROIs more efficiently and accurately. Conclusions: Researchers and clinicians can circling one random ROI for mass screening of patients with NAFLD. We suggest training beginners perform at least 17 PDFF maps to acquire reliable data.
Lu et al. (Tue,) studied this question.
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