Hepatocellular Carcinoma (HCC)
Conditions
Keywords
HCC, artificial intelligence, multitask deep learning, clinical decision support
Brief summary
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.
Interventions
Comprehensive HCC therapies include liver resection, TACE, HAIC, targeted therapy, immunotherapy and radiotherapy
Sponsors
Sun Yat-sen University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Overall Survival | 60 months | from diagnosis of HCC to death or last follow-up |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Progression-free survival | 60 months | from diagnosis of HCC to disease progression or last follow-up |
Countries
China
Outcome results
None listed