NCT06102278

ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture

Machine Learning Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 522 (actual)
• Sponsor: Chen Xiaoping · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Not accepted

Summary

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

• Peritoneal Metastasis

Interventions

Type	Name	Description
OTHER	Peritoneal Metastasis	Patients experiencing postoperative peritoneal metastasis

Timeline

• Start date: 2020-01-01
• Primary completion: 2023-03-01
• Completion: 2023-04-01
• First posted: 2023-10-26
• Last updated: 2023-10-26

Locations

1 site across 1 country: China