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A Radiomics-Transformer Fusion Model for Identifying Beneficial Subgroups of Advanced Hepatocellular Carcinoma Treated With Atezolizumab Plus Bevacizumab

A Radiomics-Transformer Fusion Model for Identifying Beneficial Subgroups of Advanced Hepatocellular Carcinoma Treated With Atezolizumab Plus Bevacizumab

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126480
Enrollment
Unknown
Registered
2026-06-09
Start date
2026-06-09
Completion date
Unknown
Last updated
2026-06-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hepatocellular Carcinoma

Interventions

Gold Standard:Diagnosed with hepatocellular carcinoma (HCC) clinically and/or pathologically per the Chinese Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2024 Edition)
Index test:A hybrid model combining imageomics and Transformer deep learning

Sponsors

Southern Medical University Southern Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1.Voluntarily sign an informed consent form. 2.Aged 18 years or older; 3.Received treatment at Nanfang Hospital, Southern Medical University between January 2019 and December 2025. 4.Diagnosed with hepatocellular carcinoma (HCC) clinically and/or pathologically in accordance with the Guidelines for Diagnosis and Treatment of Primary Liver Cancer in China (2024 Edition). 5.Underwent at least one cycle of Atezolizumab plus Bevacizumab (T+A) combination therapy. 6.Non-contrast, hepatic arterial phase, portal venous phase and delayed phase contrast-enhanced CT scans performed within 2 weeks prior to immunotherapy. 7.Minimum follow-up duration of 1 year after treatment; tumor progression was confirmed by imaging examination or pathological diagnosis in all progressive cases.

Exclusion criteria

Exclusion criteria: 1.Complicated with severe diseases of other organs. 2.Pathologically confirmed as other types of malignant hepatic tumors. 3.Spontaneous rupture and hemorrhage of tumor with intra-abdominal hematoma (true rupture). 4.Suboptimal quality of imaging data with obvious artifacts, missing areas or blank regions. 5.Absence of measurable target lesions.

Design outcomes

Primary

MeasureTime frame
deep features;immune molecule expression;radiomics features;

Countries

China

Contacts

Public Contactlushan xiao

Southern Medical University Southern Hospital

15622178423@163.com+86 20 62787310

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 21, 2026