Combination of prostate volume and apparent diffusion coefficient can stratify patients with a PI‐RADS score of 3 to reduce unnecessary prostate biopsies

Author:

Dong Qifei12,Wang Changming1,Shen Deyun1,Ma Yifan1,Zhang Bin1,Xu Siqin1,Tao Tao1,Xiao Jun12ORCID

Affiliation:

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

2. Department of Urology Affiliated Provincial Hospital of Anhui Medical University Hefei China

Abstract

AbstractBackgroundNowadays, there are many patients who undergo unnecessary prostate biopsies after receiving a prostate imaging reporting and data system (PI‐RADS) score of 3. Our purpose is to identify cutoff values of the prostate volume (PV) and minimum apparent diffusion coefficient (ADCmin) to stratify those patients to reduce unnecessary prostate biopsies.MethodsData from 224 qualified patients who received prostate biopsies from January 2019 to June 2023 were collected. The Mann–Whitney U test was used to compare non‐normal distributed continuous variables, which were recorded as median (interquartile ranges). The correlation coefficients were calculated using Spearman's rank correlation analysis. Categorical variables are recorded by numbers (percentages) and compared by χ2 test. Both univariate and multivariate logistic regression analysis were used to determine the independent predictors. The receiver‐operating characteristic curve and the area under the curve (AUC) were used to evaluate the diagnostic performance of clinical variables.ResultsOut of a total of 224 patients, 36 patients (16.07%) were diagnosed with clinically significant prostate cancer (csPCa), whereas 72 patients (32.14%) were diagnosed with any grade prostate cancer. The result of multivariate analysis demonstrated that the PV (p < 0.001, odds ratio [OR]: 0.952, 95% confidence interval [95% CI]: 0.927–0.978) and ADCmin (p < 0.01, OR: 0.993, 95% CI: 0.989–0.998) were the independent factors for predicting csPCa. The AUC values of the PV and ADCmin were 0.779 (95% CI: 0.718–0.831) and 0.799 (95% CI: 0.740–0.849), respectively, for diagnosing csPCa. After stratifying patients by PV and ADCmin, 24 patients (47.06%) with “PV < 55 mL and ADCmin < 685 μm2/s” were diagnosed with csPCa. However, only one patient (1.25%) with PV ≥ 55 mL and ADCmin ≥ 685 μm2/s were diagnosed with csPCa.ConclusionsIn this study, we found the combination of PV and ADCmin can stratify patients with a PI‐RADS score of 3 to reduce unnecessary prostate biopsies. These patients with “PV ≥ 55 mL and ADCmin ≥ 685 μm2/s” may safely avoid prostate biopsies.

Publisher

Wiley

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