Multi-Reader Multi-Case Trial Evaluating Computer-Aided Tool for Prognostic Prediction of
This study evaluates the impact of a novel computer-aided prognostic prediction tool for colorectal liver metastases (CRLM) on clinician performance. Colorectal cancer is a leading cause of cancer-related mortality worldwide, with 20-30% of patients presenting synchronous liver metastases, which are associated with poo
| Condition(s) | Colorectal Liver Metastasis (CRLM) |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | This study evaluates the impact of a novel computer-aided prognostic prediction tool for colorectal liver metastases (CRLM) on clinician performance. Colorectal cancer is a leading cause of cancer-related mortality worldwide, with 20-30% of patients presenting synchronous liver metastases, which are associated with poor prognosis and high postoperative recurrence rates. Simultaneous resection of primary tumor and liver metastases is a preferred treatment for selected patients but outcomes vary significantly. The latest web-based tool uses Random Forest models integrating demographic, clinical, laboratory, and genetic data to predict postoperative recurrence and mortality specifically for CRLM patients undergoing simultaneous resection. This multiple-reader, multiple-case (MRMC) study will |
| Who can participate | Inclusion Criteria: * ≥ 18 years old * confirmation of histologically diagnosed liver metastases of colorectal adenocarcinoma * receiving colorectal resection with simultaneous liver resection. Exclusion Criteria: * presence of other malignancies * absence of follow-up data * patients who were followed up postoperatively for less than 5 years and had no occurrences of death. |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | Cancer Institute and Hospital, Chinese Academy of Medical Sciences |
| Locations | Beijing, Beijing Municipality, China |
| Start date | 2025-01-01 |
| NCT ID | NCT07027605 |
| Official listing | https://clinicaltrials.gov/study/NCT07027605 |