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Trial Title: Comparison of MRI AI-cTB Versus Routine cTB in Prostate Cancer Diagnosis: a Prospective Randomized Controlled Trial

NCT ID: NCT06362291

Condition: Prostate Cancer

Conditions: Official terms:
Prostatic Neoplasms

Conditions: Keywords:
Prostate cancer
Artificial intelligence
Cognitive targeted biopsy
Diagnosis
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 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.

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. 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.

Criteria for eligibility:
Criteria:
Inclusion Criteria: 1. The age of the patient is between 45 and 85. 2. Patients with complete multiparametric magnetic resonance imaging (mpMRI) data of Peking University First Hospital, qualified image quality control, suspicious lesions, and Prostate Imaging Reporting and Data System version 2.1 (PI-RADS V2.1) of ≥ 3. 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. 4. 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. 5. 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. 6. Patients with complete clinical information. Exclusion Criteria: 1. The mpMRI data was unqualified or incomplete. 2. Patients had received radiotherapy, chemotherapy, androgen deprivation therapy, or surgery treatment before prostate mpMRI examination or prostate biopsy. 3. The mpMRI of Peking University First Hospital did not find suspicious prostate lesions. 4. Patients were not in accordance with the indication of prostate biopsy or were not received systematic biopsy combined with targeted biopsy. 5. The patient could not cooperate to complete the systematic biopsy combined with targeted biopsy. The patients or their family members refused to participate in this study. 6. 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: August 1, 2023

Completion date: April 30, 2025

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/NCT06362291

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