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Updated: Sep 3, 2025

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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
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A comprehensive prostate biopsy standardization system according to quantitative multiparametric MRI and PSA value:
Chao Liang1, Yuhao Wang1, Lei Ding1
1Department of Urology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210009, China.
World Journal of Urology
|July 22, 2022
Summary
This study introduces the P.R.O.S.T score to identify prostate cancer patients who may only need targeted biopsy (TB), potentially reducing unnecessary systematic biopsies (SB). The score effectively screens Prostate Imaging-Reporting and Data System (PI-RADS) 4/5 lesions, improving diagnostic efficiency.
Area of Science:
- Urology
- Oncology
- Medical Imaging
Background:
- Current guidelines often recommend simultaneous systematic biopsy (SB) and targeted biopsy (TB) for suspected prostate cancer.
- However, this study explores the potential for targeted biopsy (TB) alone in patients with high-risk Prostate Imaging-Reporting and Data System (PI-RADS) scores (4/5).
Purpose of the Study:
- To develop and validate a predictive model for identifying prostate cancer in PI-RADS 4/5 lesions.
- To assess if targeted biopsy (TB) alone is sufficient for these patients, potentially reducing the need for systematic biopsy (SB).
Main Methods:
- Retrospective analysis of transperineal prostate biopsy data from patients with PI-RADS 4 and 5 scores.
- Development of a prediction model using a training set (2019-2020) and validation using a separate set (2021).
- Stepwise logistic regression analysis was employed to identify significant clinical factors (age, lesion count, histological region, PI-RADS score, PSA density) for the model.
Main Results:
- The P.R.O.S.T score, incorporating age, lesion count, histological region, PI-RADS score, and PSA density, demonstrated significant correlation with TB results.
- The prediction model achieved an Area Under the Curve (AUC) of 0.840 in the training set and 0.816 in the validation set, indicating good predictive efficiency.
- Optimal threshold yielded a specificity of 0.765 and sensitivity of 0.752.
Conclusions:
- The P.R.O.S.T score effectively screens PI-RADS 4/5 lesions in prostate cancer diagnosis.
- This scoring system may assist physicians in selecting patients who require prostate biopsy, thereby reducing unnecessary systematic biopsies.

