AI Multitask Model for HCC Treatment

Sun Yat-sen University

Status: Completed

Conditions: Hepatocellular Carcinoma (HCC)

Treatments: Other: Comprehensive treatment

Study type: Observational

Funder types: Other

Identifiers

NCT07157085

[2024]593

Details and patient eligibility

About

We will integrate multi-modal cardiac data via an AI multitask framework to develop and validate concurrent models for liver function, treatment prognosis, and microvascular invasion (MVI) prediction in hepatocellular carcinoma. The resulting tool will be prospectively deployed to guide personalized surgical, TACE, and systemic therapy decisions.

Enrollment: 7,000 patients

Sex: All

Ages: 18 to 75 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. age 18-75 years;
2. HCC diagnosed according to the European Association for the Study of the Liver/American Association for the Study of Liver Diseases criteria)
3. Eastern Cooperative Oncology Group performance status < 2;
4. Child-Pugh class A or B liver function;

Exclusion criteria

1. HCC combined with other malignancies;
2. missing image data during perioperative period;
3. lost to follow-up > 12 months.