AI model may forecast prostate cancer recurrence after surgery
NCT ID NCT07682584
First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time
Summary
This study looks at men with localized prostate cancer who had robot-assisted surgery to remove the prostate. The goal is to find which factors—like PSA levels, tumor grade, or MRI results—best predict whether the cancer will come back (called biochemical recurrence). Researchers will use patient records and machine learning to build a risk-prediction tool. If accurate, it could help doctors decide who needs closer monitoring or extra treatment after surgery.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a predictive model that helps doctors personalize follow-up and treatment decisions after prostate cancer surgery.
- What could go wrong
- This is a retrospective analysis, so it can show associations but not prove cause and effect. The model needs validation in other groups before it can be used widely.
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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About 200 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jul 2026
An estimate. Start dates often move.
- Expected to finish
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Sep 2026
An estimate. End dates often move.
- 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
All patients with localized prostate adenocarcinoma (clinical stage T1-T2, N0M0) who underwent robot-assisted radical prostatectomy (RARP) at Fujian Medical University Affiliated First Hospital between January 2020 and May 2026. Consecutive patients meeting eligibility criteria are included. No specific sampling frame or probability sampling method is applied.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Male participants only
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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: * Pathologically confirmed prostate adenocarcinoma Clinical stage localized prostate cancer (T1-T2, N0M0) Underwent robot-assisted radical prostatectomy (RARP) Age ≥ 18 years Complete clinical data including preoperative PSA, Gleason score, pathological T stage, and surgical margin status At least one postoperative PSA measurement available to determine biochemical recurrence status Signed informed consent for surgery and data use (or ethics committee waiver of consent for retrospective analysis) Exclusion Criteria: * Received neoadjuvant endocrine therapy, radiotherapy, or chemotherapy prior to surgery Concurrent active malignancy other than non-melanoma skin cancer Preoperative evidence of lymph node metastasis (N+), distant metastasis (M1), or clinical stage T3-T4 Missing core predictors (e.g., preoperative PSA, Gleason score, pathological T stage) or insufficient postoperative PSA data to determine BCR status Received adjuvant radiotherapy or adjuvant endocrine therapy before biochemical recurrence was determined Severe cardiac, hepatic, or renal dysfunction, or life expectancy \< 1 year
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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Other studies related to the condition(s) this trial covers.
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- Can smart fluid monitoring improve robotic prostatectomy outcomes?
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