{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T06:48:58Z","timestamp":1791787738499,"version":"4.3.4"},"reference-count":40,"publisher":"Korean Liver Cancer Association","issue":"2","license":[{"start":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T00:00:00Z","timestamp":1787270400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Medical IP"}],"content-domain":{"domain":["e-jlc.org"],"crossmark-restriction":true},"short-container-title":["JLC"],"published-print":{"date-parts":[[2026,9,30]]},"abstract":"<jats:p>Background\/Aims: To compare the prognostic value of fully automated volumetric versus single-slice computed tomography (CT)-derived body composition analysis for predicting overall survival in patients with newly diagnosed hepatocellular carcinoma (HCC).Methods: In this retrospective study of 448 patients with newly diagnosed HCC, deep-learning algorithm quantified volumetric (L1-L5) and single-slice (L3) skeletal muscle and adipose tissue metrics using CT images. Spearman correlation assessed the relationship between volumetric and single-slice body composition metrics. Cox proportional hazards models, adjusted for established clinical prognostic factors, were used to evaluate association between body composition parameters and overall survival. Harrell\u2019s C-index was used to compare prognostic performance of Cox models.Results: Strong correlations (correlation coefficient \u22650.82) were observed between volumetric and single-slice measurements for muscle attenuation, visceral fat index, and subcutaneous fat index, while muscle index demonstrated only moderate correlation (correlation coefficient= 0.50). Single-slice low muscle index (hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.15-2.31; P=0.006), single-slice low muscle attenuation (HR, 1.38; 95% CI, 1.01-1.88; P=0.045) and volumetric low muscle attenuation (HR, 1.42; 95% CI, 1.03-1.95; P=0.034) were identified as independent predictors of overall survival. Median follow-up was 6.6 years. The single-slice and volumetric models showed comparable discrimination (C-index, 0.816 vs. 0.817; P=0.11).Conclusion: Automated single-slice muscle parameters at the L3 level provide significant prognostic stratification in patients with hepatocellular carcinoma, establishing it as a viable, time-efficient tool for routine oncologic practice. In contrast, automated volumetric body composition assessment did not provide superior discrimination compared with the single-slice approach.<\/jats:p>","DOI":"10.17998\/jlc.2026.06.08","type":"journal-article","created":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T01:02:10Z","timestamp":1787274130000},"page":"263-274","update-policy":"https:\/\/doi.org\/10.17998\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Prognostic value of automated computed tomography body composition in hepatocellular carcinoma: a volumetric versus single-slice comparison"],"prefix":"10.17998","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5301-6140","authenticated-orcid":true,"given":"Seok Jin","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Radiology, Gyeongsang National University Hospital, Jinju, 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