Ireland
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Starting soon Observational

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

NCT06747299 · tracked via the Priya Life Science China tracker
Phase
Observational
Started
2025-01-01
Last updated
2024-12-24

Condition(s) studied

T-NK Cell Lymphoma

Study 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.

Eligibility

Sex
ALL
Min age
18 Years
Max age
75 Years
Healthy volunteers
No
Inclusion Criteria: 1\. Pathological histology confirmed as T-NK Cell Lymphoma; 2.18F-FDG PET/CT examination before treatment; 3. Using modern best practice treatment options; 4. Complete clinicopathological and follow-up data were obtained. Exclusion Criteria: 1. The patient had previously received antitumor therapy; 2. The patient had a history of other tumors; 3. Incomplete clinical information or imaging data; 4. Concomitant other malignant tumors.

Primary outcome measure(s)

  • Evaluation the value of Artificial Intelligence-based 18F-FDG PET/CT of T-NK Cell Lymphoma — Within 1 week of enrollment and after 3 months treatment
    The Value of Artificial Intelligence-based 18F-FDG PET/CT in Diferential Diagnosis, Efficacy Prediction and Prognosis Prediction of T-NK Cell Lymphoma

Trial sites (1)

FacilityCityRegionStatus
Ruijin Hospital affiliated to Shanghai Jiao Tong University of Medicine Shanghai Shanghai Municipality
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06747299 on ClinicalTrials.gov ↗ ← All trials in China