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NOT YET RECRUITING
NCT06747299
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
Sponsor: Ruijin Hospital
View on ClinicalTrials.gov
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.
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2025-01-01
Completion Date
2027-12-31
Last Updated
2024-12-24
Healthy Volunteers
No
Conditions
Locations (1)
Ruijin Hospital affiliated to Shanghai Jiao Tong University of Medicine
Shanghai, Shanghai Municipality, China