Ultrasonography | |
Noninvasive assessment of hepatic steatosis using a pathologic reference standard: comparison of CT, MRI, and US-based techniques | |
Kyung Bun Lee1  Haeryoung Kim1  Joon Koo Han2  Dong Ho Lee2  Jae Seok Bae2  Jae Young Lee2  Kyung-Suk Suh3  | |
[1] Department of Pathology, Seoul National University Hospital, Seoul, Korea;Department of Radiology, Seoul National University Hospital, Seoul, Korea;Department of Surgery, Seoul National University Hospital, Seoul, Korea; | |
关键词: fatty liver; nonalcoholic fatty liver disease; diagnostic imaging; | |
DOI : 10.14366/usg.21150 | |
来源: DOAJ |
【 摘 要 】
Purpose The present study compared the performance of computed tomography (CT), magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF), controlled attenuation parameter (CAP), grayscale ultrasonography (US), and attenuation imaging (ATI) for the diagnosis of hepatic steatosis (HS). Methods In total, 120 prospectively recruited patients who underwent hepatic resection between June 2018 and June 2020 were retrospectively analyzed. CT, MRI-PDFF, CAP, grayscale US, and ATI were performed within 3 months before surgery. Diagnostic performance for HS ≥5% and HS >33% was compared using the area under the curve (AUC) of receiver operating characteristic curves. Histopathologic examinations served as the reference standard for the degree of HS. Results For detecting HS ≥5%, MRI-PDFF (AUC, 0.946) significantly outperformed CT, CAP and grayscale US (AUC, 0.807, 0.829, and 0.761, respectively) (P<0.01 for all). ATI (AUC, 0.892) was the second-best modality and significantly outperformed grayscale US (P=0.001). In pairwise comparisons, there were no significant differences between the AUC of ATI and the values of MRI-PDFF, CT, or CAP (P=0.133, P=0.063, and P=0.150, respectively). For detecting HS >33%, all the modalities provided good diagnostic performance without significant differences (AUC, 0.887-0.947; P>0.05 for all). Conclusion For detecting HS ≥5%, MRI-PDFF was the best imaging modality, while ATI outperformed grayscale US. For detecting HS >33%, all five imaging tools demonstrated good diagnostic performance.
【 授权许可】
Unknown