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临床试验/NCT06102278
NCT06102278已完成不适用

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

Chen Xiaoping1 个研究点 分布在 1 个国家目标入组 522 人开始时间: 2020年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
522
试验地点
1
主要终点
overall survival

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 90 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • (1) HCC confirmed by pathologists (2) two preoperative imaging findings suggestive of tumor rupture (3) R0 resection (4) first tumor detection -

排除标准

  • (1) previous antitumor therapy (2) combination of other types of tumors (3) incomplete clinical data

结局指标

主要结局

overall survival

时间窗: 2018-2023

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

次要结局

未报告次要终点

研究者

发起方
Chen Xiaoping
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Chen Xiaoping

Professor

Tongji Hospital

研究点 (1)

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