Fusing Ultrasound and Magnetic Resonance Imaging to Intelligently Plan Highly Conformal Ablation Thermal Field for Hepatocellular Carcinoma

NCT ID: NCT06798194

Last Updated: 2025-01-29

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 300 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2025-01-30
• Study Completion Date: 2027-12-30

Brief Summary

Thermal ablation is an important minimally invasive treatment for hepatocellular carcinoma (HCC), but local tumor progression (LTP) after ablation restricts the efficacy and status of ablation technology and seriously threatens patient survival. Insufficient coverage of thermal field is an important factor on the occurrence of LTP. Current thermal field planning relies on tumor contours and doctor experience, and the safety margin is uniform. Therefore, it cannot cope with the problem of insufficient coverage of thermal field caused by the different invasion capabilities of different tumors and different parts of the same tumor. This project intends to integratively analyze gray-scale ultrasound, contrast-enhanced ultrasound, magnetic resonance imaging and clinical information of HCC through deep canonical correlation analysis; summarize the prior knowledge of LTP risk factors in previous studies and perform conjoint analysis individual case data and common conclusions through knowledge graph; interpretatively predict the LTP risk and the high-risk LTP locations through link prediction; accurately predict the ablation safety margin required for different tumor parts through graph neural network, and achieve highly conformal thermal field planning based on different invasion capabilities to minimize the LTP risk of HCC. The project leverages tumor multi-modal imaging and prior knowledge as the entry point, performs highly conformal planning of the ablation thermal field through artificial intelligence technology, and provides a new method for precise ablation.

Conditions

Hepatocellular Carcinoma

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

Post-ablation MRI is used to evaluate whether the ablation area of the tumor is consistent with the highly conformal ablation thermal field provided by the AI model.

This study developed an AI model that can provide optimal highly conformal ablation thermal field for HCC patients using ultrasound and MRI. Post-ablation MRI is used to evaluate whether the ablation area of the tumor is consistent with the highly conformal ablation thermal field provided by the AI model.

The patients were divided into:

1. Actual ablation zone of the tumor was consistent with the highly conformal ablation thermal field (consistent group);

2. Actual ablation zone of the tumor was inconsistent with the highly conformal ablation thermal field (inconsistent group).

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

1. Pathologically confirmed primary hepatocellular carcinoma

2. Undergo curative ablation

3. With complete clinical information and pre- and post-operative imaging information

Exclusion Criteria

1. Undergo palliative ablation

2. Lack of clinical or imaging information

3. Age less than 18 years

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Chinese PLA General Hospital

OTHER

Sponsor Role: lead

Responsible Party

Ping Liang

M.D.

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Chinese PLA Hospital

Beijing, , China

Countries

China

Central Contacts

Wenzhen Ding, Dr

Role: CONTACT

923345765@qq.com

+86 66939530

Facility Contacts

Wenzhen Ding

Role: primary

923345765@qq.com

+86 66939530

Other Identifiers

Highly conformal ablation

Identifier Type: -

Identifier Source: org_study_id