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Computed tomography-based preoperative muscle measurements as prognostic factors for anastomotic leakage following oncological sigmoid and rectal resections.
- Source :
-
Journal of surgical oncology [J Surg Oncol] 2023 Apr; Vol. 127 (5), pp. 823-830. Date of Electronic Publication: 2023 Jan 09. - Publication Year :
- 2023
-
Abstract
- Background: Oncological sigmoid and rectal resections are accompanied with substantial risk of anastomotic leakage. Preoperative risk assessment and patient selection remain difficult, highlighting the importance of finding easy-to-use parameters. This study evaluates the prognostic value of contrast-enhanced (CE) computed tomography (CT)-based muscle measurements for predicting anastomotic leakage.<br />Methods: Patients that underwent oncological sigmoid and rectal resections in the LUMC between 2016 and 2020 were included. Preoperative CE-CT scans, were analyzed using Vitrea software to measure total abdominal muscle area (TAMA) and total psoas area (TPA). Muscle areas were standardized using patient's height into: psoas muscle index (PMI) and skeletal muscle index (SMI) (cm <superscript>2</superscript> /m <superscript>2</superscript> ).<br />Results: In total 46 patients were included, of which 13 (8.9%) suffered from anastomotic leakage. Patients with anastomotic leakage had a significantly lower PMI (22.1 vs. 25.1, p < 0.01) and SMI (41.8 vs. 46.6, p < 0.01). After adjusting for confounders (age and comorbidity), lower PMI (odds ratio [OR]: 0.85, 95% confidence interval [CI] 0.71-0.99, p = 0.03) and SMI (OR: 0.93, 95%CI 0.86-0.99, p = 0.02) were both associated with anastomotic leakage.<br />Conclusion: This study showed that lower PMI and SMI were associated with anastomotic leakage. These results indicate that preoperative CT-based muscle measurements can be used as prognostic factor for risk stratification for anastomotic leakage.<br /> (© 2023 The Authors. Journal of Surgical Oncology published by Wiley Periodicals LLC.)
Details
- Language :
- English
- ISSN :
- 1096-9098
- Volume :
- 127
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of surgical oncology
- Publication Type :
- Academic Journal
- Accession number :
- 36620908
- Full Text :
- https://doi.org/10.1002/jso.27200