ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture

Chen Xiaoping522 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

522

Conditions

Peritoneal Metastasis

Interventions

Peritoneal MetastasisOTHER

Patients experiencing postoperative peritoneal metastasis

Eligibility

Sex: ALLMin age: 18 YearsMax age: 90 Years

Medical Language ↔ Plain English

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 \-

Locations (1)

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei, China

Outcomes

Primary Outcomes

overall survival

Overall survival (OS) was defined as the time from the date of surgery to death

Time frame: 2018-2023

Data from ClinicalTrials.gov

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