Spots Global Cancer Trial Database for ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture
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Trial Identification
Brief Title: ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture
Official Title: Machine Learning Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma Rupture
Study ID: NCT06102278
Conditions
Interventions
Study Description
Brief 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.
Detailed Description:
Keywords
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Contact Details
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