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Updated: Aug 8, 2026

Application of Laparoscopic Hepatectomy Combined with Intraoperative Microwave Ablation in Colorectal Cancer Liver Metastasis
Published on: March 3, 2023
Evaluation of the American College of Surgeons risk calculator in hepatectomy for metastatic colorectal cancer in a
Ye Xin Koh1,2,3, Ivan En-Howe Tan4, Yun Zhao4
1Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Academia, 20 College Road, Singapore, 169856, Singapore. koh.ye.xin@outlook.com.
The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) calculator accurately predicts outcomes for hepatectomy in colorectal cancer liver metastasis patients. Its performance is generally reliable for postoperative complications, readmission, reoperation, and length of stay.
Area of Science:
- Hepatobiliary surgery
- Surgical oncology
- Health services research
Background:
- Hepatectomy is a critical treatment for liver metastasis from colorectal cancer (CRC).
- Accurate prediction of postoperative outcomes is essential for patient management and resource allocation.
- The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) calculator is a widely used tool for predicting surgical outcomes.
Purpose of the Study:
- To evaluate the predictive accuracy of the ACS-NSQIP calculator for postoperative outcomes in patients undergoing hepatectomy for CRC liver metastasis.
- To assess the calculator's performance in a Southeast Asian population.
Main Methods:
- A retrospective review of 166 patients who underwent hepatectomy for CRC liver metastasis between 2017 and 2022.
- Comparison of predicted outcomes from the ACS-NSQIP calculator with actual patient outcomes.
- Statistical analysis using receiver operating characteristic (ROC) curves, area under the curve (AUC), and Brier scores.
Main Results:
- The ACS-NSQIP calculator demonstrated good accuracy (AUC > 0.70) in predicting most postoperative complications.
- Satisfactory performance was observed for predicting readmission (AUC = 0.818) and reoperation (AUC = 0.945).
- The calculator accurately predicted length of stay (LOS) (AUC = 0.909), with predicted LOS (5.9 days) closely matching actual LOS (5.0 days).
- Prediction accuracy for surgical site infection was less precise (AUC = 0.678).
Conclusions:
- The ACS-NSQIP calculator shows generally accurate predictive capabilities for 30-day postoperative outcomes in hepatectomy patients with CRC liver metastasis.
- The tool can be a valuable aid in clinical decision-making and patient counseling for this specific population.
- Further validation may be needed for specific complications like surgical site infections.

