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Clinical trial

Radiomics-based Unsupervised Machine Learning Model to Identify Responders to Transarterial Chemoembolization Versus Hepatic Arterial Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: a Retrospective Cohort Study

NCT07368530 is registered in ClinicalTrials.gov with First Affiliated Hospital, Sun Yat-Sen University as lead sponsor.

NCT NCT07368530
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Registry record

As filed in ClinicalTrials.gov.

Title
Radiomics-based Unsupervised Machine Learning Model to Identify Responders to Transarterial Chemoembolization Versus Hepatic Arterial Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: a Retrospective Cohort Study
Lead sponsor
First Affiliated Hospital, Sun Yat-Sen University
Phase
Observational
Overall status
Completed
Start date
January 1, 2015
Completion date
December 31, 2025
Enrollment
3,000 (actual)
Sites
1

Conditions

As the registry lists them; a condition with its own page is linked.

bclc stage b hepatocellular carcinoma, bclc stage c hepatocellular carcinoma, unresectable hepatocellular carcinoma (hcc)