Multimodal Machine Learning Characterization of Solid Tumors
NCT04687969 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50
Last updated 2026-05-22
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)
Conditions
- Adenocarcinoma of Prostate
- Radical Prostatectomy
- Hepatocellular Carcinoma (HCC)
- Glioma
- Renal Cell Carcinoma (RCC)
- Prostate Cancer
Interventions
- DRUG
-
[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
- RADIATION
-
PET/MRI scanner
PET/MRI Scan with \[18F\]DCFPyL as directed by protocol
Sponsors & Collaborators
-
National Cancer Institute (NCI)
collaborator NIH -
Ciprian Catana, MD, PhD
lead OTHER
Principal Investigators
-
Ciprian Catana, MD, Ph.D · Massachusetts General Hospital
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-10-23
- Primary Completion
- 2024-08-12
- Completion
- 2024-08-12
- FDA Drug
- Yes
- FDA Device
- Yes
Countries
- United States
Study Locations
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