NCT06859840Active, not recruiting
LEAF (Liver Tumor dEtection And classiFication AI)
Clinical Research on the Use of Non-contrast CT Combined With AI for Early Screening for Liver Malignancy
Source: ClinicalTrials.gov · Last updated 15 Sept 2026
Brief summary (registry, in English)
This study aims to assess the feasibility of leveraging non-contrast CT and artificial intelligence to detect liver cancer in consecutive real-world patients. To this end, we deploy LEAF in a prospective real-world clinical setting for real-time monitoring, with a particular focus on flagging cases with liver cancer that may be missed by routine clinical workflow.
- Status (registry)
- Active, not recruiting
- Study type
- Interventional
- Enrollment
- 2500 (estimated)
- First submitted
- 28 Feb 2025
- Start date
- 17 Jul 2026
- Primary completion date
- 12 Aug 2026
- Lead sponsor
- Zhejiang University
- Diseases
- Liver and biliary tract cancer
- NCT number
- NCT06859840
What you commit to
- Study type: Interventional
- Planned participants: 2500
- From 17 Jul 2026 to the primary completion date, 12 Aug 2026
- 1 site 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
- Patients who underwent liver transplantation;
Other illness
- Patients who have been diagnosed with malignant liver tumor;
Other
- Low quality image, severe artifacts and noise.
Who the study is looking for
- Age range 18 years and above;
- Underwent non-contrast chest or abdominal CT examination with liver coverage;
- Patients with an established diagnosis of cirrhosis;
- Patients with an established diagnosis of extrahepatic cancer.
Age in the registry: 18 years to 90 years · Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| The first Affiliated Hospital, School of Medicine, Zhejiang University. Coordinator of this site? Confirm its status | Hangzhou | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.