Peking University First Hospital
Beijing, Beijing Municipality, 100034, China
NCT Number: NCT06362291
The goal of this clinical trial is to compare the cancer detection rates of MRI artificial intelligence-guided cTB (AI-cTB) and routine cTB, and explore the added value of using AI for the guidance of cTB. The main questions it aims to answer are:
Does AI-cTB promote the accurate diagnosis and treatment of prostate cancer? What's the value of prostate MRI artificial intelligence assistant diagnosis system in developing the best scheme of prostate biopsy? What's the value of prostate MRI artificial intelligence assistant diagnosis system in predicting the pathological results of prostate targeted biopsy?
Researchers will compare the cancer detection rates of AI-cTB and routine cTB to explore the added value of using AI for the guidance of cTB.
Participants will:
Receive AI-cTB or routine cTB.
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Notify Me45 year–85 year
Male
Interventional
Not applicable
Beijing, Beijing Municipality, 100034, China
Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis of prostate cancer (PCa). However, cTB relies heavily on the operator's experience and confidence in MRI readings. The goal of this clinical trial is to compare the cancer detection rates of MRI artificial intelligence-guided cTB (AI-cTB) and routine cTB, and explore the added value of using AI for the guidance of cTB.
The main questions it aims to answer are:
Does AI-cTB promote the accurate diagnosis and treatment of prostate cancer? What's the value of prostate MRI artificial intelligence assistant diagnosis system in developing the best scheme of prostate biopsy? What's the value of prostate MRI artificial intelligence assistant diagnosis system in predicting the pathological results of prostate targeted biopsy?
This prospective, single-institution RCT compared the csPCa detection rates of the AI-cTB and routine cTB. Participants were prospectively enrolled at Peking University First Hospital (Beijing, China) from August 2023 to July 2024. Participants were randomly allocated to AI-cTB group and routine cTB group.
Researchers will compare the cancer detection rates of AI-cTB and routine cTB to explore the added value of using AI for the guidance of cTB.
Participants will:
Receive AI-cTB or routine cTB.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Before prostate biopsy, the MR images of patients in the AI-cTB group were uploaded to the AI software. Then the images with suspicious lesions highlighted by AI software were viewed by urologists. Biopsies were performed under the guidance of TRUS through the transrectal or transperineal route.
Before prostate biopsy, the MR images and reports were viewed by urologists preceding the biopsy. Biopsies were performed under the guidance of TRUS through the transrectal or transperineal route.
Time frame: One month after the biopsy procedure.
csPCa was defined as PCa with a grade group > 2 or GS ≥ 7. The reference standard was the pathological results of the combination of TB (AI-cTB or cTB) and SB.
Time frame: One month after the biopsy procedure.
The PCa detection rate for targeted biopsy (TB) and TB combined with systematic biopsy (SB)
Time frame: One month after the biopsy procedure.
The Gleason score was reported by senior uropathologists according to the Standards of Reporting for MRI Targeted Biopsy Studies (START) criteria and interpreted according to the recommendations of the International Society of Urological Pathology (ISUP) Grade Group.
Time frame: One month after the biopsy procedure.
The overall grade was assigned based on the part with the highest Gleason score according to the recommendations of the ISUP.
Peking University First Hospital
Other
Comparison of MRI Artificial Intelligence-guided Cognitive Fusion-targeted Biopsy Versus Routine Cognitive Fusion-targeted Prostate Biopsy in Prostate Cancer Diagnosis: a Prospective Randomized Controlled Trial
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