Multimodal Machine Learning Characterization of Solid Tumors
United States135 participantsStarted 2022-10-23
Plain-language 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)
Who can participate
Age range18 Years
SexALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Participants must meet the following criteria on screening examination to be eligible to participate in the study:
* Must have primary prostate cancer (e.g. adenocarcinoma of prostate) and deemed a candidate for radical prostatectomy as part of standard clinical care for Cohort A.
* Must have evidence or be suspected of having HCC, Glioma and RCC for enrollment in Cohort B.
* Age ≥18 years.
\--- Because no dosing or adverse event data are currently available on the use of \[18F\]DCFPyL in participants \<18 years of age, children are excluded from this study, but will be eligible for future pediatric trials.
* Participants must have adequate kidney function for gadolinium-based contrast administration as assessed by:
* estimated or measured glomerular filtration rate (GFR) ≥ 60 mL/min/1.73 m2 for repeated administrations.
* a single dose will be administered to subjects with a GFR between 30-60 mL/min/1.73 m2. Investigators will not repeat the gadolinium-based contrast agent administration until the renal function improves and the GFR is higher than 60 cc/min/1.73 m2. These subjects will not undergo examinations on consecutive days even if the renal function improves.
* Patient must be able to undergo MRI and PET scans.
* Ability to understand and the willingness to sign a written informed consent document.
Exclusion Criteria:
* History of allergic reactions attributed to compounds of similar chemical or biologic composition to t…
What they're measuring
1
Diagnostic value of multimodal imaging in primary prostate cancer patients