Ann Hepatobiliary Pancreat Surg.  2023 Feb;27(1):40-48. 10.14701/ahbps.22-043.

Simultaneous resection of synchronous colorectal liver metastasis: Feasibility and development of a prediction model

Affiliations
  • 1Division of Gastrointestinal and Hepatopancreaticobiliary Surgery, Department of Surgical Oncology, Tata Memorial Hospital, Mumbai, India
  • 2Homi Bhabha National Institute, Mumbai, India

Abstract

Backgrounds/Aims
Timing of resection for synchronous colorectal liver metastasis (CRLM) has been debated for decades. The aim of the present study was to assess the feasibility of simultaneous resection of CRLM in terms of major complications and develop a prediction model for safe resections.
Methods
A retrospective single-center study of synchronous, resectable CRLM, operated between 2013 and 2021 was conducted. Upper limit of 95% confidence interval (CI) of major complications (≥ grade IIIA) was set at 40% as the safety threshold. Logistic regression was used to determine predictors of morbidity. Prediction model was internally validated by bootstrap estimates, Harrell’s C-index, and correlation of predicted and observed estimates.
Results
Ninety-two patients were operated. Of them, 41.3% had rectal cancers. Major hepatectomy (≥ 4 segments) was performed for 25 patients (27.2%). Major complications occurred in 20 patients (21.7%, 95% CI: 13.8%–31.5%). Predictors of complications were the presence of comorbidities and major hepatectomy (area under the ROC curve: 0.692). Unacceptable level of morbidity (≥ 40%) was encountered in patients with comorbidities who underwent major hepatectomy.
Conclusions
Simultaneous bowel and CRLM resection appear to be safe. However, caution should be exercised when combining major liver resections with bowel resection in patients with comorbid conditions.

Keyword

Colorectal liver metastasis; Synchronous; Simultaneous resection; Colorectal cancer

Figure

  • Fig. 1 Patient selection process. CRLM, colorectal liver metastasis.

  • Fig. 2 Survival curves.

  • Fig. 3 Prediction model. AUC, area under the ROC curve; CI, confidence interval.


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