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The role of tumor density in predicting significant cancer on targeted biopsy of the prostate.
- Source :
-
Urologic oncology [Urol Oncol] 2023 Jul; Vol. 41 (7), pp. 323.e9-323.e15. Date of Electronic Publication: 2023 May 18. - Publication Year :
- 2023
-
Abstract
- Objective: Multiparametric magnetic resonance imaging (mpMRI) is central to diagnosing prostate cancer; however, not all imaged lesions represent clinically significant tumors. We aimed to evaluate the association between the relative tumor volume on mpMRI and clinically significant prostate cancer on biopsy.<br />Materials and Methods: We retrospectively reviewed the medical records of 340 patients who underwent combined transperineal targeted and systematic prostate biopsies between 2017 and 2021. Tumor volume was estimated based on the mpMRI diameter of suspected lesions. Relative tumor volume (tumor density) was calculated by dividing the tumor and prostate volumes. The study outcome was clinically significant cancer on biopsy. Logistic regression analyses were used to evaluate the association between tumor density and the outcome. The cutoff for tumor density was determined with ROC curves.<br />Results: Median estimated prostate and peripheral zone tumor volumes were 55cm <superscript>3</superscript> and 0.61cm <superscript>3</superscript> , respectively. Median PSA density was 0.13 and peripheral zone tumor density was 0.01. Overall, 231 patients (68%) had any cancer and 130 (38%) had clinically significant cancer. On multivariable logistic regression age, PSA, previous biopsy, maximal PI-RADS score, prostate volume, and peripheral zone tumor density were significant predictors of outcome. Using a threshold of 0.006, the sensitivity, specificity, positive and negative predictive values of peripheral zone tumor density were 0.9, 0.51, 0.57, and 0.88, respectively.<br />Conclusion: Peripheral zone tumor density is associated with clinically significant prostate cancer in patients with PI-RADS 4 and 5 mpMRI lesions. Future studies are required to validate our findings and evaluate the role of tumor density in avoiding unnecessary biopsies.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-2496
- Volume :
- 41
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Urologic oncology
- Publication Type :
- Academic Journal
- Accession number :
- 37210246
- Full Text :
- https://doi.org/10.1016/j.urolonc.2023.03.009