Multimodal Machine Learning Characterization of Solid Tumors

Completed

Conditions studied: Adenocarcinoma of Prostate, Radical Prostatectomy, Hepatocellular Carcinoma (HCC), Glioma, Renal Cell Carcinoma (RCC), Prostate Cancer

In brief

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)

Key facts

Study ID
NCT04687969
Run by
Ciprian Catana, MD, PhD
People needed
50
Starts
2022-10-23
Expected to finish
2024-08-12
Last updated by the study team
2026-05-22

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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