NCT06575361

Brief Summary

The goal of this real-world prospective diagnostic study is to comprehensively evaluate the value of MRI artificial intelligence (MRI-AI) in assisting the diagnosis of prostate cancer (PCa). The main questions it aims to answer are: Does MRI-AI promote the accurate diagnosis and treatment of prostate cancer? What's the capability of prostate MRI-AI in calculating the prostate volumn? What's the value of prostate MRI-AI assistant diagnosis system in detecting the suspicious lesions on MRI and guiding prostate targeted biopsy? What's the value of prostate MRI-AI assistant diagnosis system in predicting the pathological results of prostate targeted biopsy? Researchers will compare the cancer detection rates of suspicious lesions detected by MRI-AI and senior radiologists. Participants will: Receive combination of systematic biopsy and targeted biopsy.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
365

participants targeted

Target at P75+ for not_applicable prostate-cancer

Timeline
Completed

Started Jan 2024

Shorter than P25 for not_applicable prostate-cancer

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2024

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

August 26, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 28, 2024

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2025

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2025

Completed
Last Updated

May 6, 2026

Status Verified

May 1, 2026

Enrollment Period

1.5 years

First QC Date

August 26, 2024

Last Update Submit

May 5, 2026

Conditions

Keywords

Prostate cancerArtificial intelligenceTargeted biopsyDiagnosisDiagnostic study

Outcome Measures

Primary Outcomes (2)

  • The clinically significant prostate cancer (csPCa) detection rate for suspicious lesions found by MRI-AI and urogenital radiologists

    csPCa was defined as PCa with a grade group ≥ 2 or GS ≥ 3+4. The reference standard was the pathological results of targeted biopsies for the suspicious lesions.

    One month after the biopsy procedure.

  • High-grade PCa detection rate

    High-grade PCa was defined as PCa with a grade group ≥3 or GS ≥ 4+3. The reference standard was the pathological results of targeted biopsies for the suspicious lesions.

    One month after the biopsy procedure.

Secondary Outcomes (3)

  • The PCa detection rate

    One month after the biopsy procedure.

  • clinically insignificant PCa (ciPCa) detection rate

    One month after the biopsy procedure.

  • Diagnostic performance

    One month after the biopsy procedure

Study Arms (1)

Patients with the indication of prostate biopsy

EXPERIMENTAL

The trained AI algorithms were embedded into proprietary structured reporting software. Before prostate biopsy, the MR images of patients were uploaded to the AI software. The prostate gland and suspicious lesions were annotated and highlighted by AI software. Urogenital radiologists who were blinded to MRI-AI reports independently reviewed the MR images, annotated the suspicious lesions. Then the urologists read both the MRI-AI reports and urogenital radiologist's reports, and conducted 3-5 core targeted biopsy (TB) at each suspicious lesion found by MRI-AI and urogenital radiologists, followed by 12 core systematic biopsy (SB).

Diagnostic Test: Combination of targeted biopsy and systematic biopsy

Interventions

Before prostate biopsy, the MR images of patients were independently reviewed by MRI-AI and urogenital radiologists. Then the images with suspicious lesions highlighted by MRI-AI and urogenital radiologists. Urologists conducted targeted biopsies for all suspicious lesions and systematic biopsies. Biopsies were performed under the guidance of transrectal ultrasound (TRUS) through the transrectal or transperineal route.

Patients with the indication of prostate biopsy

Eligibility Criteria

Age45 Years - 85 Years
Sexmale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • The age of the patient is between 45 and 85.
  • Patients with complete magnetic resonance imaging (MRI) data, qualified image quality control.
  • 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 had no history of prior prostate surgery or biopsy.
  • The PSA of patients should be ≤20 ng/mL.
  • The prostate biopsy pathological results of above lesions were complete. The time interval between targeted prostate biopsy and prostate MRI examination should not exceed one month.
  • Patients with complete clinical information.

You may not qualify if:

  • The clinicopathological information and MRI data was unqualified or incomplete.
  • Patients had received radiotherapy, chemotherapy, androgen deprivation therapy, or surgery treatment before prostate MRI examination or prostate biopsy.
  • Patients received prior prostate biopsy.
  • Patients had contraindications to MRI or prostate biopsy.
  • Patients were not in accordance with the indication of prostate biopsy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Peking University First Hospital

Beijing, Beijing Municipality, 100034, China

Location

MeSH Terms

Conditions

Prostatic NeoplasmsDisease

Condition Hierarchy (Ancestors)

Genital Neoplasms, MaleUrogenital NeoplasmsNeoplasms by SiteNeoplasmsGenital Diseases, MaleGenital DiseasesUrogenital DiseasesProstatic DiseasesMale Urogenital DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Yi LIU

    Peking University First Hospital

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate chief physician

Study Record Dates

First Submitted

August 26, 2024

First Posted

August 28, 2024

Study Start

January 1, 2024

Primary Completion

June 30, 2025

Study Completion

August 31, 2025

Last Updated

May 6, 2026

Record last verified: 2026-05

Locations