Classification of risk groups of prostate cancer patients by using radiomics features in PSMA PET/CT images, which is done through a machine learning approach.
- Conditions
- Health Condition 1: C61- Malignant neoplasm of prostate
- Registration Number
- CTRI/2023/07/055109
- Lead Sponsor
- Dept of nuclear medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
1)Patients with age >= 18 years
2)Biopsy proven prostate cancer
3)Biopsies performed at least 4 weeks prior to 68Ga-PSMA-11 PET/CT, or after 68Ga-PSMA PET/CT
1)Patients without pathological confirmation of prostate cancer
2)Patients who have received prior treatment or are receiving any form of treatment
3)Patients with no PSA assay
4)History of allergy to components of 68Ga-PSMA-11 or compounds of similar chemical characteristics
5)Patients with other known malignancies, both active and treated
6)Refusal to give informed written consent (for patients enrolled prospectively)
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Predicting NCCN risk groups in prostate cancer using PSMA PET radiomicsTimepoint: At 2 years
- Secondary Outcome Measures
Name Time Method Predicting ISUP grades in prostate cancer using PSMA PET radiomicsTimepoint: At 2 years