Journal Article

Quantification of liver steatosis of metabolic dysfunction-associated steatotic liver disease based on body composition analysis

Eguchi, Yuichiro, Takahashi, Hirokazu, Tanaka, Kenichi, Oza, Noriko, Hara, Nagisa, Aishima, Shinichi, Eto, Erina, Huang, Daniel Q., Ng, Cheng Han, Kubotsu, Yoshihito, Yoshimura, Shigenobu, Norita, Misa, Kawaguchi, Atsushi, Kuwashiro, Takuya, Muthiah, Mark D., Noge, Shotaro, Kohira, Toshikazu, Isoda, Hiroshi, Inoue, Kaori, Oeda, Satoshi, Anzai, Keizo

2025

Overview

Liver steatosis can be measured with ultrasound techniques such as the controlled attenuation parameter (CAP) on an equipped FibroScan. For more widespread screening and quantitative evaluation of liver steatosis, a predictive model using body composition data obtained by body bioelectrical impedance analysis (BIA) was developed. In the training cohort including 365 patients suspected of having metabolic dysfunction-associated steatotic liver disease, a stepwise selection method was used to determine the BIA-related variables associated with CAP. Using the significant variables, a predictive formula was developed, and the estimated CAP (eCAP) was obtained. The diagnostic performance of eCAP was tested to predict liver steatosis with receiver operating characteristic (ROC) curve analysis in the training, validation ( n  = 408) and liver biopsy ( n  = 158) cohorts. The body fat mass of the trunk, skeletal muscle index and age were significant variables associated with CAP. eCAP was obtained as 219.1 − 0.4479 × age + 3.476 × BFM of trunk + 7.045 × SMI. The area under the ROC curve was 0.814 in the training cohort and 0.808 in the validation cohort. The sensitivity and specificity were 72.5% and 82.1% with a cut-off value of eCAP = 281 dB/m. For sensitivity ≥ 90%, the cut-off of eCAP was 266 dB/m. In the liver biopsy cohort, the presence of pathological steatosis was predicted with eCAP as an area under the ROC curve = 0.826, which was not statistically different from CAP (0.871). Completely non-invasive BIA-based eCAP could predict liver steatosis.

• Publisher: Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
• Subject: 692/308 / 692/4020 / Adult / Aged / Bioelectrical impedance analysis / Biopsy / Body Composition / Body fat / Body mass index / Cholesterol / Controlled attenuation parameter / Diabetes / Electric Impedance / Fatty liver / Fatty Liver - diagnosis / Fatty Liver - diagnostic imaging / Fatty Liver - metabolism / Fatty Liver - pathology / Female / Hepatitis / Hospitals / Humanities and Social Sciences / Humans / Inflammation / Liver / Liver - pathology / Liver cirrhosis / Liver diseases / Male / Metabolic dysfunction-associated steatotic liver disease / Metabolism / Middle Aged / multidisciplinary / Musculoskeletal system / Overweight / Patients / Prediction models / ROC Curve / Science / Science (multidisciplinary) / Skeletal muscle / Steatosis / Surveillance / Training / Ultrasonic imaging / Ultrasonography