ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture

Peritoneal Metastasis Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT06102278
• Other study ID #: PM-01
• Status: Completed
• Start date: January 1, 2020
• Est. completion date: April 1, 2023

Study information

• Verified date: October 2023
• Source: Tongji Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 522
• Est. completion date: April 1, 2023
• Est. primary completion date: March 1, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 90 Years

Eligibility

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

-

Related Conditions & MeSH terms

• Carcinoma, Hepatocellular
• Neoplasm Metastasis
• Peritoneal Metastasis
• Rupture

Intervention

Other:
• Peritoneal Metastasis
Patients experiencing postoperative peritoneal metastasis

Locations

Country	Name	City	State
China	Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology	Wuhan	Hubei

Sponsors (1)

Lead Sponsor	Collaborator
Chen Xiaoping

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	overall survival	Overall survival (OS) was defined as the time from the date of surgery to death	2018-2023