NCT07166445Recruiting
Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT
Source: ClinicalTrials.gov · Last updated 10 Sept 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
This study aims to develop and validate a contrast-enhanced CT-based deep-learning model for automatic and accurate preoperative discrimination between T1-T2 and T3 renal cell carcinoma. By quantifying the model's diagnostic performance on an independent test set-using AUC, sensitivity, specificity, positive/negative predictive values, and decision-curve analysis-we will establish a decision-support tool that can be seamlessly integrated into clinical PACS, thereby reducing staging errors, refining surgical planning, and improving patient outcomes.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 1000 (estimated)
- First submitted
- 3 Sept 2025
- Start date
- Sept 2024
- Primary completion date
- Dec 2025
- Lead sponsor
- Peking University First Hospital
- Diseases
- Kidney cancer
- NCT number
- NCT07166445
What you commit to
- Study type: Observational
- Planned participants: 1000
- From Sept 2024 to the primary completion date, Dec 2025
- 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
- 1\. Pathologic subtype other than RCC. 2. Images with severe artifacts.
Who the study is looking for
- Histopathologically confirmed renal cell carcinoma on postoperative specimen.
- Preoperative contrast-enhanced CT performed at our institution with slice thickness ≤ 1 mm and complete DICOM datasets.
- Postoperative pathologic staging clearly defined as pT1a-T2b or pT3a.
- CT image quality deemed adequate for analysis.
Age in the registry: 18 years to 85 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 |
|---|---|---|---|
| Peking University First Hospital, Beijing, Coordinator of this site? Confirm its status | Beijing | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.