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DOI 10.1016/j.clnesp.2026.103417

Медицинская библиотека · Clinical nutrition ESPEN · 2026

Computed tomography derived body composition and risk of anastomotic leakage following rectal cancer surgery: A systematic review and meta-analysis.

Broekman Mark, Genders Charlotte M S, Geitenbeek Ritchie T J, Havenga Klaas, Kruijff Schelto, Klaase Joost M, Viddeleer Alain R, van Vugt Jeroen L A, Consten Esther C J

СтатьяСистематический обзорМетаанализПеревод в очереди

Аннотация

Anastomotic leakage (AL) remains a severe postoperative complication following restorative rectal cancer surgery, adversely impacting morbidity, quality of life, and oncological outcomes. Computed tomography (CT)-derived body composition metrics have been proposed as more precise predictors of AL than conventional measures such as BMI

METHODS

A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines (PROSPERO: CRD42023471537). PubMed, EMBASE, Scopus, Web of Science, and Cochrane Library were searched for studies published between January 2010 and July 2025 assessing CT-derived body composition parameters and AL in rectal cancer patients undergoing restorative surgery. Meta-analyses were performed when ≥3 studies reported comparable metrics. Risk of bias was assessed using a modified MINORS tool

RESULTS

Twenty-seven studies comprising 5763 patients and 22 different CT-derived body parameters were identified. In prespecified sensitivity analyses, dichotomized visceral fat area (VFA > 100 cm2) was significantly associated with increased AL risk (OR 1.72, 95% CI: 1.26-2.36, p = 0.009). No consistent associations were observed for subcutaneous fat, skeletal muscle, or psoas muscle indices. Considerable heterogeneity in parameter definitions, cut-offs, and measurement protocols limited further pooling

CONCLUSION

Among various CT-derived body composition metrics, VFA > 100 cm2 was significantly associated with increased AL risk after restorative rectal cancer surgery, although this finding was sensitive to leave-one-out sensitivity analyses. Standardized methodologies for body composition assessment and AL definition are warranted to validate the role of CT-derived parameters within multifactorial risk prediction models.

Для цитирования: Broekman Mark, Genders Charlotte M S, Geitenbeek Ritchie T J, Havenga Klaas, Kruijff Schelto, Klaase Joost M, Viddeleer Alain R, van Vugt Jeroen L A, Consten Esther C J. Computed tomography derived body composition and risk of anastomotic leakage following rectal cancer surgery: A systematic review and meta-analysis.. Clinical nutrition ESPEN. 2026. DOI: 10.1016/j.clnesp.2026.103417.

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