AI and advanced scans aim to predict prostate Cancer's next move
NCT ID NCT03594760
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether combining a special PET scan (PSMA-PET) with artificial intelligence can help predict how prostate cancer will behave. Researchers will scan 1,000 men with prostate cancer and use deep learning to find patterns in the images that link to survival and disease progression. The goal is to develop better tools to guide treatment decisions.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
18F-DCFPyL (a radioactive tracer for PET imaging)
What this could lead to
If successful, this could lead to a new way to predict how prostate cancer will progress and which treatments will work best for each patient.
What could go wrong
This is an observational imaging study, not a treatment trial. The AI models may not prove accurate enough for routine use, and results may not apply to all prostate cancer patients.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Centre Hospitalier de l'université de Montréal
RECRUITINGMontreal, Quebec, H2X 0C1, Canada