Trials / Recruiting
RecruitingNCT06810349
Predicting Tumor Origin Based on Deep Learning of Lymph Node Puncture Cytology
A Multicenter Study on Predicting Tumor Origin Based on Deep Learning of Lymph Node Puncture Cytology
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 10,000 (estimated)
- Sponsor
- West China Hospital · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
In this study, the investigators aimed to construct a deep learning diagnostic model that uses cytological images to predict primary unknown tumor origins in patients with tumors combined with lymph node metastases. After the model is constructed, the model will be validated by a large-scale test set to test the model performance. The investigators also propose to compare the performance of the constructed model in diagnosing cytology smears compared to human pathologists.
Conditions
Timeline
- Start date
- 2024-11-11
- Primary completion
- 2025-12-01
- Completion
- 2025-12-01
- First posted
- 2025-02-05
- Last updated
- 2025-02-05
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06810349. Inclusion in this directory is not an endorsement.