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Objectives: The association between preoperative CT-based sarcopenia and prognosis in locally advanced rectal cancer (LARC) remains unclear. The aim of this study was to investigate the relationship between CT-based sarcopenia and clinical outcomes in patients with LARC.
Materials And Methods: This multicenter retrospective study analyzed 503 LARC patients who underwent radical resection in three tertiary hospitals in China from January 2018 to June 2021 and were pathologically confirmed. All patients were followed for a period of at least three years. Clinical, pathological, and imaging data were carefully collected. According to the sex-specific skeletal muscle index (SMI), patients were evaluated for the presence of CT-based sarcopenia. The SMI was obtained by measuring the cross-sectional muscle area and standardizing it by the height of different patients. The primary endpoint was post-operative overall survival (OS), and the secondary endpoint included disease-free survival (DFS), postoperative complications, prolonged length of stay (LOS), readmission, and cancer-specific survival (CSS).
Results: This study included 503 patients [mean age: 61.5 ± 10.8 years; 353 male (70.2%)], who were divided into the non-sarcopenic group (375 patients, 74.5%) and the sarcopenic group (128 patients, 25.5%). Over a mean follow-up period of 47 months (range 4-73), a total of 108 (21.4%) deaths and 162 (32.2%) combined endpoints, including recurrence or metastasis, were observed. Multivariate Cox regression analysis revealed that CT-based sarcopenia (hazard ratio [HR], 2.41; 95% confidence interval [CI], 1.49 ~ 3.87; P < 0.001) was independently associated with worse OS in LARC patients over a three-year period, but was not associated with shorter DFS (HR, 1.34; 95% CI, 0.89 ~ 2.03; P = 0.163). CT-based sarcopenia was not significantly associated with postoperative complications of grade II or greater (odds ratio [OR]: 1.29, 95% CI: 0.62 ~ 2.68, P = 0.496) or prolonged LOS (OR: 1.05, 95% CI: 0.6 ~ 1.86, P = 0.853). However, sarcopenic patients showed a higher risk of readmission (OR: 5.53, 95% CI: 1.57 ~ 19.5, P = 0.008) and a significant correlation with poorer CSS (HR: 2.78, 95% CI: 1.64 ~ 4.72, P < 0.001). Kaplan-Meier analysis showed that sarcopenic LARC patients had a significantly higher cumulative hazard of OS compared to non-sarcopenic patients (P < 0.001, log-rank test). Similar patterns of association were observed in subgroup analyses (all P values for interaction > 0.05).
Conclusions: Preoperative CT-based sarcopenia is independently associated with decreased OS, CSS, and an elevated risk of readmission in patients with LARC. These findings emphasize the importance of identifying sarcopenic patients at higher risk for adverse outcomes and suggest that interventions aimed at improving physical strength and endurance may play a critical role in informing treatment strategies and guiding clinical decisions.
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http://dx.doi.org/10.1186/s12885-025-13664-5 | DOI Listing |
Cancers (Basel)
August 2025
Urology Department, Ramón y Cajal University Hospital, University of Alcalá, 28034 Madrid, Spain.
Objective: To evaluate the impact of body composition parameters, including specifically sarcopenic obesity (SO), on postoperative and oncological outcomes in patients undergoing radical cystectomy (RC) for bladder cancer, thereby addressing a paucity of data in this setting.
Methods: A retrospective observational study was conducted in patients who underwent RC. Preoperative CT scans were analyzed using semi-automatic segmentation software to assess body composition parameters, with measurements of adipose and muscle tissue obtained at the level of the L3 vertebra.
Clin Nutr ESPEN
August 2025
Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, Canada. Electronic address:
Background & Aims: Assessing body composition using computed tomography (CT) can help predict the clinical outcomes of cancer patients, including surgical complications, chemotherapy toxicity, and survival. However, manual segmentation of CT images is labor-intensive and can lead to significant inter-observer variability. In this study, we validate the accuracy and reliability of automatic CT-based segmentation using the Data Analysis Facilitation Suite (DAFS) Express software package, which rapidly segments single CT slices.
View Article and Find Full Text PDFBMC Geriatr
August 2025
Department of Orthopedics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People's Republic of China.
Background: Computed tomography (CT) based sarcopenia has been linked to postoperative complications in various surgeries. Although the associations between sarcopenia and femoral neck fractures (FNF) have received considerable attention, the relationship between sarcopenia and blood transfusions after hip arthroplasty in FNF patients remains unclear. This study aimed to investigate the relationship between CT-based sarcopenia and blood transfusions in elderly FNF patients after hip arthroplasty.
View Article and Find Full Text PDFFront Nutr
July 2025
Research Institute of General Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Background: Although malnutrition is a concern for incremental morbidity in pancreatic surgery, there has been a lack of consensus on nutritional assessment and body composition suitable for prediction of postoperative complications following pancreaticoduodenectomy (PD). Our study was performed to assess whether perioperative CT-based body composition were predictors of morbidity after PD.
Methods: 231 patients who underwent PD between 2020 and 2024 were enrolled to evaluate perioperative body composition.
J Cachexia Sarcopenia Muscle
August 2025
Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Background: AI-driven automated body composition analysis (BCA) may provide quantitative prognostic biomarkers derived from routine staging CTs. This two-centre study evaluates the prognostic value of these volumetric markers for overall survival in lung cancer patients.
Methods: Lung cancer cohorts from Hospital A (n = 3345, median age 65, 86% NSCLC, 40% M1, 40% female) and B (n = 1364, median age 66, 87% NSCLC, 37% M1, 38% female) underwent automated BCA of abdominal CTs ±60 days of primary diagnosis.