ArticleFrontiers in nutrition2025
Sex-specific CT-derived muscle and fat phenotypes in colon cancer: implications for nutritional and metabolic assessment.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CT-derived myosteatosis as a predictor of postoperative outcomes in esophagogastric cancer surgery: a systematic review.Frontiers in medicine · 2026Pooled it
- FocusedON-BC: A Robust Deep Learning Framework for Automated Body Composition Assessment.Nutrients · 2026Article
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Authors and funding
9 authors.
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Abstract
Background: Computed Tomography (CT)-derived analysis of Body Composition (BC) provides detailed phenotyping of skeletal muscle and adipose tissue, offering insight into nutritional and metabolic risk in oncology. Objective: To characterize sex- and age-specific muscle and adipose tissue phenotypes in patients with colon cancer and describe their patterns across postoperative outcomes. Methods: Multicentric observational cross-sectional study including Colorectal Cancer (CRC) patients undergoing laparoscopic elective surgery. Preoperative CT scans at L3 were analyzed for muscle and adipose tissue quantity and radiodensity. Differences in BC parameters between patient groups (according to presence of complications, hospital stay and disease stage by sex) were assessed using Student's Results: 502 CRC patients, predominantly males (62.5%) with a mean age of 68.08 ± 10.62 were included. Sex-specific differences in muscle quality and adipose tissue distribution were observed across postoperative outcomes. In women, lower Subcutaneous Adipose Tissue (SAT) values were observed in those with longer hospital stay and complications ( Conclusion: CT-based body composition phenotyping identifies distinct metabolic profiles linked to postoperative risk. Incorporating tissue quality and distribution into nutritional assessment may enhance early identification of vulnerable patients and guide personalized perioperative strategies.
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