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ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture

NCT06102278 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 522

Last updated 2023-10-26

No results posted yet for this study

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

OTHER

Peritoneal Metastasis

Patients experiencing postoperative peritoneal metastasis

Sponsors & Collaborators

  • Chen Xiaoping

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2023-03-01
Completion
2023-04-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06102278 on ClinicalTrials.gov