NCT06760494Completed
Microvascular Invasion Artificial Intelligence Prediction Via Contrast-enhanced Ultrasound With Explainability
Prediction of Microvascular Invasion in HCC Using Spatiotemporal Radiomics of Contrast-enhanced Ultrasound: a Deep Learning Model With Transcriptomics Correlation
Source: ClinicalTrials.gov · Last updated 6 Jan 2025
Brief summary (registry, in English)
An artificial intelligence (AI) model to predict MVI of HCC using contrast-enhanced ultrasound was constructed. This model also has biological explainability. The investigators named it as MAPUSE (MVI AI prediction via contrast-enhanced ultrasound with explainability). The goal of MAPUSE study is to prospectively test the performance of MAPUSE model on MVI prediction and its biological correlation in different geographical areas of China.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 250 (actual)
- First submitted
- 28 Dec 2024
- Start date
- 1 Nov 2023
- Primary completion date
- 30 May 2024
- Lead sponsor
- Chinese PLA General Hospital
- Diseases
- Liver and biliary tract cancer
- NCT number
- NCT06760494
What you commit to
- Study type: Observational
- Participants enrolled: 250
- From 1 Nov 2023 to the primary completion date, 30 May 2024
- 2 sites in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Missing surgical pathological diagnosis.
Other
- Unqualified CEUS images.
- Lesions underwent local treatments.
- Non-HCC diagnosis
Who the study is looking for
- Age \>18 years old.
- The HCC diagnosis and the presence of MVI were confirmed by surgical pathology.
- Complete and clear CEUS videos obtained within two weeks preoperatively.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (2)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Chinese PLA General Hospital Coordinator of this site? Confirm its status | Beijing | China | Unknown status |
| the First Affiliated Hospital of Sun Yat-sen University Coordinator of this site? Confirm its status | Guangzhou | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.