Clinical trial · Observational
Multimodal Survival Prediction Model for Colorectal Liver Metastases Post-Operation
Construction of a Post-operative Multimodal Survival Prediction Model for Patients With Colorectal Liver Metastases: A Study Based on the Fusion of a Multicenter Cohort and High-dimensional Radiomics
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 26, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260926-000001
Summary
Brief summary (as posted)
The purpose of this study is to construct and validate a multimodal survival prediction model by integrating 3D radiomics features derived from preoperative magnetic resonance imaging (MRI) with systemic clinical baseline indicators for patients with colorectal liver metastases (CRLM) after surgery. By combining micro-level radiomics signatures reflecting tumor micro-heterogeneity with macro-level clinical parameters (such as liver function and tumor biomarkers), the study aims to accurately evaluate individual post-operative prognostic risks. This quantitative tool will provide reliable decision support for clinicians to customize post-operative follow-up and personalized adjuvant treatment strategies.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colorectal Liver Metastases | — | UNRESOLVED | — |
| Colorectal Neoplasms | Colorectal Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Liver Neoplasms | Liver Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Multimodal Predictive Evaluation | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- CRLM Surgical Cohort
- description
- A multicenter cohort consisting of patients with colorectal liver metastases who underwent surgical resection. Preoperative magnetic resonance imaging (MRI) is utilized for 3D modeling and three-dimensional reconstruction of the liver and lesions, from which key spatial/morphological features and systemic clinical parameters are analyzed to predict post-operative recurrence-free survival.
- interventionNames
- Procedure: Multimodal Predictive Evaluation
Primary outcomes (1)
- measure
- Recurrence-Free Survival (RFS)
- timeFrame
- Up to 5 years post-surgery
- description
- Recurrence-free survival (RFS) is defined as the time from the date of surgical resection to the date of first tumor recurrence (local, regional, or distant) or death from any cause, whichever occurs first.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: Age \>= 18 years old. Confirmed diagnosis of colorectal cancer with liver metastases (CRLM). Underwent surgical resection for colorectal liver metastases. Preoperative liver magnetic resonance imaging (MRI) was performed with high-quality images available for 3D radiomics feature extraction. Complete baseline clinical, laboratory, and post-operative follow-up survival data. Exclusion Criteria: Patients who received local ablation only (such as radiofrequency ablation) without surgical resection. Preoperative MRI images with severe artifacts or poor quality that prevent high-throughput radiomics analysis. Concurrent history of other primary malignant neoplasms. Missing key clinical variables or lost to follow-up immediately after surgical intervention.
References
Publications (0)
Data not yet available