Smart AI could slash unnecessary prostate biopsies
NCT ID NCT06589154
First seen Jun 24, 2026 · Last updated Jul 24, 2026 · Updated 3 times
Summary
This completed study tested an artificial intelligence model called BEAM that combines MRI scans with a blood test (cell-free DNA) to improve prostate cancer diagnosis. Over 1,600 men participated, including those with healthy prostates, benign enlargement, or prostate cancer. The goal was to see if the AI could more accurately predict cancer than current PSA tests, potentially reducing the need for invasive biopsies.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Multi-modal artificial intelligence model (BEAM) combining mpMRI and cfDNA analysis
- What this could lead to
- If successful, this AI tool could help doctors more accurately detect prostate cancer and avoid unnecessary biopsies, especially for men with borderline PSA levels.
- What could go wrong
- This is a completed study, but the AI model's real-world performance may vary. It was tested against biopsy results, and further validation is needed before routine use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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1,651 people
The number who actually took part.
- Started
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Oct 2024
- Finished
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Jul 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
People who are required to undergo prostatic or pelvic magnetic resonance (MR) examination
- Ages
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18 to 80 years
- Sex
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Male participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Men aged 18-80 years with a clinical indication for prostate or pelvic magnetic resonance (MR) examination. * Patients with normal prostate, benign prostatic hyperplasia, or prostate cancer. * First visit on January 1, 2014, or later. Exclusion Criteria: * Diagnosis of any other malignancy within the previous 5 years. * Prior transurethral resection or enucleation of the prostate before imaging. * Any condition deemed by the investigator to make the patient unsuitable for study participation.
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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
Locations
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Cancer Hospital, Chinese Academy of Medical Sciences
Beijing, Beijing Municipality, 100021, China
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Changhai Hospital
Shanghai, Shanghai Municipality, 200433, China
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Jiangsu Provincial People's Hospita
Nanjing, Jiangsu, 210029, China
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Ningbo No. 1 Hospita
Ningbo, Zhejiang, 315010, China
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Northern Jiangsu People's Hospita
Yangzhou, Jiangsu, 225001, China
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Shanghai Changzheng Hospital
Shanghai, Shanghai Municipality, 201209, China
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The First Affiliated Hospital of Soochow University
Suzhou, Jiangsu, 215006, China
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The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510120, China
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West China Hospital, Sichuan University
Chengdu, Sichuan, 610041, China
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Zhongda Hospital, Southeast University
Nanjing, Jiangsu, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- A scanner in the operating room could show surgeons exactly where prostate cancer remains
- New PET tracer aims to light up hidden cancer targets
- Can daily adaptive radiotherapy spare healthy tissue in prostate cancer?
- Can a radioactive tracer and MRI reveal prostate Cancer's true extent?
- Five-Fraction radiation plus hormone therapy tested against High-Risk prostate cancer
- Can a 10-Hour eating window fight cancer fatigue?