The Addictive Diagnostic Value of Apparent Diffusion Coefficients to bpMRI in the Diagnosis of Prostate Cancer

NCT ID: NCT06737588

Last Updated: 2025-02-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

600 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-12-01

Study Completion Date

2027-03-31

Brief Summary

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The goal of this study is to evaluate the diagnostic value of different ADC values (incuding ADCmin, ADCmean, ADCratio and ADCrange) of bpMRI in patients with PI-RADS 3-5. The main aim is to evaluate whether different ADC values improve the diagnosis of clinically significant prostate cancer (Gleasonscore≥3+4, ISUP grade ≥2) and any-grade prostate cancer (Gleasonscore≥3+3, ISUP grade ≥1).

Detailed Description

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The study is conducted with suspected prostate cancer. Patients with PI-RADS scores of 3-5 after completing prostate bpMRI chose to undergo prostate biopsy. Before patients undergo prostate biopsy, researchers will collecte information on age, BMI, tPSA, f/PSA, PV, PSAD, ADCmean, ADCmin, ADCmax, ADCnormal, maximum lesion diameter, location of major lesions, and so on. For prostate biopsy, systematic prostate biopsy ± bpMRI cognitive fusion targeted prostate biopsy will be completed under the conditions permitted by physical condition, and Gleason score will be clearly given by pathologists if the final diagnosis is prostate cancer. In this study, the pathological result is regarded as the gold standard. ROC curve, area under curve, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio and other indicators of diagnostic test were calculated. Relevant conclusions are finally drawn by comparing the diagnostic capacity of different ADC values for prostate cancer. Meanwhile, binary logistic regression analysis will also conduct the Odds ratios (ORs) and 95% confidence intervals (CIs) will be recorded.

Conditions

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Prostate Cancer

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. The patient met at least one indication of prostate biopsy (Chinese expert consensus on prostate biopsy (2022 edition) https://rs.yiigle.com/cmaid/1442948 );
2. Serum PSA test was completed in the patient with tPSA \< 100 ng/ml;
3. Primary prostate tumor lesion, no history of other tumors;
4. Completed 3.0T bpMRI examination, PI-RADS score ≥3 score, the image is clear and readable;
5. Patients fully understand the relevant contents of the study and voluntarily sign the informed consent.

Exclusion Criteria

1. The patient has contraindications for MRI;
2. PI-RADS 1-2 of bpMRI;
3. The patient had contraindications to prostate biopsy or explicitly refused biopsy;
4. bpMRI indicated that the patient had multiple lymph nodes or bone metastases;
5. Previous prostate-related surgery;
6. The patient refused to sign the informed consent.
Minimum Eligible Age

18 Years

Eligible Sex

MALE

Accepts Healthy Volunteers

No

Sponsors

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Anhui Provincial Hospital

OTHER_GOV

Sponsor Role lead

Responsible Party

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XiaoJun

Professor, Chief Physician

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Jun Xiao

Role: PRINCIPAL_INVESTIGATOR

The First Affiliated Hospital of USTC

Locations

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Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China

Hefei, Anhui, China

Site Status RECRUITING

Department of Urology, The First Affiliated Hospital of Wannan Medical College

Wuhu, Anhui, China

Site Status NOT_YET_RECRUITING

Countries

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China

Central Contacts

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Changming Wang

Role: CONTACT

15840256553

Jun Xiao

Role: CONTACT

13956934087

Facility Contacts

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Changming Wang, M.D.

Role: primary

15840256553

Jun Xiao, M.D.

Role: backup

13956934087

Dong Zhuo, M.D.

Role: primary

17838306531

Other Identifiers

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2024-ky-495 (bpMRI-ADC)

Identifier Type: -

Identifier Source: org_study_id

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