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

The Addictive Diagnostic Value of Apparent Diffusion Coefficients to PI-RADS 3-5 of Biparametric Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06737588
Enrollment
600
Registered
2024-12-17
Start date
2024-12-01
Completion date
2027-03-31
Last updated
2025-02-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Keywords

Prostate cancer, Prostate biospy, Biparametric Magnetic Resonance, Apparent diffussion coefficient, Prostate Imaging-Reporting and Data System, Diagnosis

Brief summary

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

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.

Interventions

None listed

Sponsors

Anhui Provincial Hospital
Lead SponsorOTHER_GOV

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Evaluate whether ADC values can improve the diagnostic capacity of bpMRI for clinically significant prostate cancer (csPCa) (Gleason score ≥ 3+4, ISUP grade ≥ 2) in patients with PI-RADS 3-5.through study completion, an average of 1 monthcsPCa means Gleason score ≥ 3+4, ISUP grade ≥ 2. Evaluation indexes: ROC curves and AUC value (95%CI) , Sensetivity, Specificity, Positive predictive value and negative predictive value. The odds ratios (ORs) and 95% confidence intervals in logistic analysis.

Secondary

MeasureTime frameDescription
Evaluate whether ADC values can improve the diagnostic capacity of bpMRI for any-grade prostate cancer (PCa) (Gleason score ≥ 3+3, ISUP grade ≥ 1) in patients with PI-RADS 3-5.through study completion, an average of 1 monthagPCa means Gleason score ≥ 3+3, ISUP grade ≥ 1. Evaluation indexes: ROC curves and AUC value (95%CI) , Sensetivity, Specificity, Positive predictive value and negative predictive value. The odds ratios (ORs) and 95% confidence intervals in logistic analysis.
Evaluate the diagnostic capacity of different PI-RADS scores combined with different ADC cut off values for csPCathrough study completion, an average of 1 monthROC curves and AUC value (95%CI), Sensetivity, Specificity, Positive predictive value and negative predictive value.
Compare the diagnostic value of different ADC values for csPCa in patients with 3-5 points of PI-RADS.through study completion, an average of 1 monthROC curves and AUC value (95%CI), Sensetivity, Specificity, Positive predictive value and negative predictive value.

Countries

China

Contacts

Primary ContactChangming Wang
wcmurologist@mail.ustc.edu.cn15840256553
Backup ContactJun Xiao
anhuiurology@126.com13956934087

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026