Trials / Not Yet Recruiting
Not Yet RecruitingNCT06747299
The Value of Artificial Intelligence-based 18F-FDG PET/CT in Diferential Diagnosis, Efficacy Prediction and Prognosis Prediction of T-NK Cell Lymphoma: a Clinical Study
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- Ruijin Hospital · Academic / Other
- Sex
- All
- Age
- 18 Years – 75 Years
- Healthy volunteers
- Not accepted
Summary
Based on the PET/CT imaging data of patients with T-NK cell lymphoma, machine learning and deep learning methods are used to extract imaging features, establish a T-NK cell lymphoma prediction model, and provide more scientific and accurate prognosis prediction for the clinic.
Detailed description
This study adopts a multicenter retrospective cohort study design，we provided PET/CT of 200 patients with T-NK cell lymphoma as an external validation set for model validation.
Conditions
Timeline
- Start date
- 2025-01-01
- Primary completion
- 2027-12-31
- Completion
- 2027-12-31
- First posted
- 2024-12-24
- Last updated
- 2024-12-24
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06747299. Inclusion in this directory is not an endorsement.