Four hepatic steatosis indices in predicting quantitative computed tomography-based metabolic dysfunction-associated fatty liver disease

Abstract

Aim: To evaluate the prediction ability for quantitative computed tomography (QCT)-based metabolic dysfunction-associated fatty liver disease (MAFLD) of four widely known hepatic steatosis algorithms, namely the fatty liver index (FLI), the hepatic steatosis index (HSI), the Framingham Steatosis index (FSI) and the Zhejiang University index (ZJU index). Methods: From July 2020 to June 2022, health checkup subjects who accepted liver fat quantification with QCT at the Health Management Center of the Second Affiliated Hospital of Chongqing Medical University were recruited in this study. MAFLD was diagnosed by using QCT-based liver fat quantification. The prediction performance of FLI, HSI, FSI, and ZJU index on MAFLD was evaluated using the area under the receiver operating characteristic curve (AUC). Results: Of a total of 4,566 subjects enrolled in this study, 48.7% were diagnosed with MAFLD. The AUC values of FLI, HSI, FSI, and ZJU index were 0.819, 0.792, 0.822 and 0.826, respectively. FLI exhibited the highest sensitivity (SN) of 79.42%, while the ZJU index demonstrated the highest specificity (SP) of 75.35%. Conclusions: All four indices (FLI, HSI, FSI, and ZJU index) have acceptable predictive performance for patients with QCT-based MAFLD. Our study suggests that the above indices have a stable ability for detecting MAFLD.