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AI-based Measurements of Tumour Burden in PSMA PET-CT
Sponsor: Elin Tragardh
Summary
The primary aim of the present study is to evaluate how automatically calculated (by an AI-based method) tumour burden, measured as tumour volume (TV) and as tumour uptake (TU: TV x SUVmean) in the prostate/prostate bed, pelvic lymph nodes, distant lymph nodes, bone and as the total tumour burden predicts overall survival (OS) in patients with prostate cancer (newly diagnosed and patients with biochemical recurrence).
Official title: The Prognostic Value of AI-based Measurements of Tumour Burden in PSMA PET-CT in Patients With Prostate Cancer
Key Details
Gender
MALE
Age Range
20 Years - 120 Years
Study Type
OBSERVATIONAL
Enrollment
1500
Start Date
2024-03-29
Completion Date
2033-03
Last Updated
2024-04-12
Healthy Volunteers
No
Conditions
Interventions
AI-based detection and quantification of suspected tumour/metastases in PSMA PET/CT scans
Tumour burden will be automatically calculated and stored in a database. The result of the AI-based measurements will not involve the handling of the patients
Locations (2)
Skåne University Hospital
Lund, Sweden
Skåne university hospital
Malmo, Sweden