Fusing Ultrasound and Magnetic Resonance Imaging to Intelligently Plan Highly Conformal Ablation Thermal Field for Hepatocellular Carcinoma
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: 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..
- Who it may be relevant to
- Registry conditions: Hepatocellular Carcinoma. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Interventions
- Diagnostic test 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 w
Primary outcome measures
- Local tumor progression [Time frame: 2 years]
Secondary outcome measures (1)
- tumor recurrence [Time frame: 2 year]
Eligibility criteria
Inclusion criteria
- Pathologically confirmed primary hepatocellular carcinoma
- Undergo curative ablation
- With complete clinical information and pre- and post-operative imaging information
Exclusion criteria
- Undergo palliative ablation
- Lack of clinical or imaging information
- Age less than 18 years
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Chinese PLA Hospital — Beijing
Identifiers
NCT: NCT06798194 · Highly conformal ablation