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Trial Title:
Comparison of MRI Artificial Intelligence-guided cTB Versus Routine cTB in Prostate Cancer Diagnosis
NCT ID:
NCT06392737
Condition:
Prostate Cancer
Conditions: Official terms:
Prostatic Neoplasms
Conditions: Keywords:
Prostate cancer
Artificial intelligence
Cognitive targeted biopsy
Diagnosis
Multicenter randomized controlled trial
Study type:
Interventional
Study phase:
N/A
Overall status:
Recruiting
Study design:
Allocation:
Randomized
Intervention model:
Parallel Assignment
Primary purpose:
Diagnostic
Masking:
Single (Outcomes Assessor)
Intervention:
Intervention type:
Procedure
Intervention name:
MRI-AI guided cognitive prostate targeted biopsy
Description:
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.
Arm group label:
MRI-AI-guided cTB (AI-cTB) group
Intervention type:
Procedure
Intervention name:
Routine cognitive prostate targeted biopsy
Description:
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.
Arm group label:
Routine cTB group
Summary:
The goal of this multicenter 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? What's the generalizability of the MRI artificial intelligence
assistant diagnosis system?
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.
Detailed description:
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. Our previously single-center RCT has demonstrated the
effectiveness of accurately detecting clinically significant PCa (csPCa). 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. This multicenter RCT aims to further validate the ability of MRI
artificial intelligence in different institutions and investigate the generalizability of
the MRI artificial intelligence assistant diagnosis system.
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? What's the generalizability of the MRI artificial intelligence
assistant diagnosis system? This multicenter RCT compared the csPCa detection rates of
the AI-cTB and routine cTB. Participants were prospectively enrolled at Peking University
First Hospital (Beijing, China), Beijing Miyun District Hospital (Beijing, China), and
Shanghai East Hospital (Shanghai, China) from May 2024 to April 2025.
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.
Criteria for eligibility:
Criteria:
Inclusion Criteria:
- The age of the patient is between 45 and 85.
- Patients with complete multiparametric magnetic resonance imaging (mpMRI) data,
qualified image quality control, suspicious lesions, and Prostate Imaging Reporting
and Data System version 2.1 (PI-RADS V2.1) of ≥ 3.
- Patients were in accordance with the indication of prostate biopsy, including
patients with suspicious prostate nodes found by digital rectal examination (DRE),
the suspicious lesions found by transrectal ultrasound (TRUS) or MRI, total
prostate-specific antigen (tPSA) >10ng/mL, tPSA 4-10ng/mL with free-to-total PSA
ratio (f/tPSA) <0.16 or PSA density (PSAD) >0.15.
- Patients were in accordance with the indication of repeated prostate biopsy
(patients with atypical acinar hyperplasia or high-grade intraepithelial neoplasia,
especially when the pathological results of multi-needle puncture were as above;
re-examination of PSA > 10 ng/ml; re-examination of PSA 4~10ng/ml, abnormal f/tPSA,
abnormal PSAD, abnormal DRE, or imaging abnormalities; for patients with the results
of re-examination of PSA 4~10ng/ml and with close follow-up, PSA for 2 consecutive
years > 10ng/ml or PSA volume > 0.75/ml/years). The time interval between the two
prostate biopsies should be longer than three months.
- The targeted prostate biopsy pathological results of above lesions were complete.
The time interval between targeted prostate biopsy and prostate mpMRI examination
should not exceed one month.
- Patients with complete clinical information.
Exclusion Criteria:
- The mpMRI data was unqualified or incomplete.
- Patients had received radiotherapy, chemotherapy, androgen deprivation therapy, or
surgery treatment before prostate mpMRI examination or prostate biopsy.
- The mpMRI did not find suspicious prostate lesions.
- Patients were not in accordance with the indication of prostate biopsy or were not
received systematic biopsy combined with targeted biopsy.
- The patients could not cooperate to complete the systematic biopsy combined with
targeted biopsy. The patients or their family members refused to participate in this
study.
- Patients with incomplete clinical information.
Gender:
Male
Minimum age:
45 Years
Maximum age:
85 Years
Healthy volunteers:
No
Locations:
Facility:
Name:
Peking University First Hospital
Address:
City:
Beijing
Zip:
100034
Country:
China
Status:
Recruiting
Contact:
Last name:
Baowei Zhang
Phone:
+86 83572466
Email:
bdyyll@126.com
Start date:
May 1, 2024
Completion date:
April 30, 2026
Lead sponsor:
Agency:
Peking University First Hospital
Agency class:
Other
Source:
Peking University First Hospital
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06392737