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Multimodal Machine Learning Characterization of Solid Tumors
Sponsor: Ciprian Catana, MD, PhD
Summary
This research study wants to develop advanced imaging methods to more accurately characterize prostate cancer or solid tumor aggressiveness. This observational study involves \[18F\]DCFPyL positron emission tomography and magnetic resonance imaging (PET/MRI)
Official title: Multimodal PET/MRI Machine Learning Approaches for Characterization of Solid Tumors
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
135
Start Date
2022-10-23
Completion Date
2025-12-31
Last Updated
2025-09-25
Healthy Volunteers
No
Conditions
Interventions
[18F]DCFPyL
will either be administered by intravenous injection by bolus by a qualified nuclear medicine technician at the Martinos Center, or will be administered as part of a clinical PET/CT examination
PET/MRI scanner
PET/MRI Scan with \[18F\]DCFPyL as directed by protocol
Locations (2)
Massachusetts General Hospital
Boston, Massachusetts, United States
Beth-Israel Deaconess Medical Center
Boston, Massachusetts, United States