NCT07639567Not yet recruiting
Clinical Application Value of Deep Learning-Based "Opportunistic Screening" for Malignant Tumors on Routine Non-Contrast Chest-Abdomen-Pelvis CT
Source: ClinicalTrials.gov · Last updated 31 Jul 2026
Brief summary (registry, in English)
This study aims to develop and validate a deep learning-based opportunistic multi-cancer screening system using routine non-contrast chest-abdomen-pelvis CT examinations, including CHANCE-Breast, CHANCE-Liver, CHANCE-Kidney, and CHANCE-Bladder, for the early detection of breast, liver, kidney, and bladder cancers. In addition, the study will assess a human-AI collaborative framework to determine its potential for improving cancer detection and reducing missed diagnoses in clinical practice.
- Status (registry)
- Not yet recruiting
- Study type
- Observational
- Enrollment
- 100000 (estimated)
- First submitted
- 5 Jun 2026
- Start date
- Jul 2026
- Primary completion date
- Jul 2028
- Lead sponsor
- Lian Yang
- Diseases
- Childhood cancers
- NCT number
- NCT07639567
What you commit to
- Study type: Observational
- Planned participants: 100000
- From Jul 2026 to the primary completion date, Jul 2028
- 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.
Other
- Non-diagnostic image quality;
- Absence of a definitive reference-standard diagnosis;
- Incomplete clinical or imaging data.
Who the study is looking for
- Patients with a confirmed diagnosis of the target malignancy who received treatment at our institution;
- Diagnostic-quality CT images without substantial metal or motion artifacts and with complete anatomical coverage of the target organ (breast, liver, kidney, or bladder);
- Availability of complete pre-treatment non-contrast CT imaging data.
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 |
|---|---|---|---|
| Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Coordinator of this site? Confirm its status | Wuhan | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.