Clinical trial · Observational
ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture
Machine Learning Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture
NCT06102278CI-TRIAL-00070802completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aimed to address the issue of peritoneal metastasis (PM) following the rupture of hepatocellular carcinoma (HCC) and its adverse impact on patient prognosis. Clinical data from 522 patients with ruptured HCC who underwent surgery at seven different medical centers were collected and analyzed. Machine learning models were employed for analysis and prediction.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Peritoneal Metastasis | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Peritoneal Metastasis | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Training cohort
- description
- All cases were randomly grouped according to 7:3, with 70% defined as the training group
- interventionNames
- Other: Peritoneal Metastasis
- label
- Validation cohort
- description
- All cases were randomly grouped according to 7:3, with 30% defined as the validation group
- interventionNames
- Other: Peritoneal Metastasis
Primary outcomes (1)
- measure
- overall survival
- timeFrame
- 2018-2023
- description
- Overall survival (OS) was defined as the time from the date of surgery to death
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria:(1) HCC confirmed by pathologists (2) two preoperative imaging findings suggestive of tumor rupture (3) R0 resection (4) first tumor detection - Exclusion Criteria:(1) previous antitumor therapy (2) combination of other types of tumors (3) incomplete clinical data \-
References
Publications (0)
Data not yet available
No reference posted for this study.