AI Article Synopsis

  • Many patients undergoing prostate biopsies are receiving unnecessary procedures after getting a PI-RADS score of 3, prompting research to find ways to identify at-risk individuals more effectively.
  • The study analyzed data from 224 patients to determine the impact of prostate volume (PV) and minimum apparent diffusion coefficient (ADC) on the likelihood of diagnosing clinically significant prostate cancer (csPCa).
  • Results showed that lower PV and ADC values significantly increased the likelihood of csPCa, suggesting that these metrics can help stratify patients and potentially reduce unnecessary biopsies.

Article Abstract

Background: Nowadays, 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 (ADC) to stratify those patients to reduce unnecessary prostate biopsies.

Methods: Data 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 χ 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.

Results: Out 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 ADC (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 ADC 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 ADC, 24 patients (47.06%) with "PV < 55 mL and ADC < 685 μm/s" were diagnosed with csPCa. However, only one patient (1.25%) with PV ≥ 55 mL and ADC ≥ 685 μm/s were diagnosed with csPCa.

Conclusions: In this study, we found the combination of PV and ADC can stratify patients with a PI-RADS score of 3 to reduce unnecessary prostate biopsies. These patients with "PV ≥ 55 mL and ADC ≥ 685 μm/s" may safely avoid prostate biopsies.

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Source
http://dx.doi.org/10.1002/pros.24695DOI Listing

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