Related Experiment Video
Updated: Feb 28, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Prognostic Scores for Liver Resection in Colorectal Metastases: Performance, Limitations, and Methodological
Luca Viganò1,2, Luca Risi1,2, Elisa Ragaini1
1Hepatobiliary Unit, Department of Minimally Invasive General & Oncologic Surgery, Humanitas Gavazzeni University Hospital, 24125 Bergamo, Italy.
Current prognostic scores for colorectal liver metastases show low reliability for survival prediction. Future research must develop new tools and standardize prognostic modeling for better clinical utility.
Area of Science:
- Oncology
- Surgical Oncology
- Biostatistics
Background:
- Accurate survival prediction after resection of colorectal liver metastases is vital for treatment planning.
- Existing prognostic scores have questionable reliability, necessitating a comprehensive review.
Purpose of the Study:
- To systematically review and evaluate the performance of prognostic scores for colorectal liver metastases.
- To analyze the methodological approaches used in the external validation of these prognostic models.
Main Methods:
- A systematic literature review was performed using PubMed, Embase, and Cochrane Library (January 2015 - June 2024).
- Included studies focused on English-language publications with external validation of prognostic models.
- A random-effects meta-analysis was conducted to synthesize performance data.
Main Results:
- 48 prognostic scores were externally validated in 33,602 patients across 48 studies.
- Scores incorporating genetic, immunological, and radiomic data outperformed purely clinical scores (C-index 0.610-0.657 vs. 0.585).
- Models using perioperative data showed superior performance compared to preoperative models (C-index 0.671 vs. 0.600).
Conclusions:
- Current prognostic scores demonstrate low reliability (C-index ≤ 0.65) for predicting survival.
- Heterogeneity and variable quality of data limit the usability of existing prognostic tools.
- There is a critical need for developing novel prognostic tools and standardizing modeling and reporting.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
04:22Application of Laparoscopic Hepatectomy Combined with Intraoperative Microwave Ablation in Colorectal Cancer Liver Metastasis
Published on: March 3, 2023