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COMPLETED
NCT04687969

Multimodal Machine Learning Characterization of Solid Tumors

Sponsor: Ciprian Catana, MD, PhD

View on ClinicalTrials.gov

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

50

Start Date

2022-10-23

Completion Date

2024-08-12

Last Updated

2026-05-22

Healthy Volunteers

No

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

Locations (1)

Massachusetts General Hospital

Boston, Massachusetts, United States