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Can Prostate-Specific Antigen Density Be an Index to Distinguish Patients Who Can Omit Repeat Prostate Biopsy in Patients with Negative Magnetic Resonance Imaging?
- Source :
- Cancer Management & Research; Jul2021, Vol. 13, p5467-5475, 9p
- Publication Year :
- 2021
-
Abstract
- Purpose: We evaluated the negative predictive value (NPV) of multiparametric magnetic resonance imaging (mpMRI) in detecting clinically significant prostate cancer (csPCa) according to biopsy setting and prostate-specific antigen density (PSAD) using transperineal template-guided saturation prostate biopsy (TPB) as the reference standard. Methods: A total of 161 patients with biopsy histories and negative pre-biopsy mpMRI (Prostate Imaging Reporting and Data System version 2 scores of less than 3) participated in the study. TPB was performed on the following indications: "prior negative biopsy" in patients with persistent suspicion of prostate cancer (n = 91) or "confirmatory biopsy" in patients who were candidates for active surveillance (n = 70). The csPCa was defined as a Gleason score of 3 + 4 or greater. We calculated the NPV of mpMRI in detecting csPCa according to biopsy history and prostate-specific antigen density (PSAD) and conducted a logistic regression analysis to determine the clinical predicator for the absence of csPCa. Results: The detection rate of csPCa was 5.5% in the prior negative biopsy group and 14.3% in the confirmatory biopsy group (P = 0.057). None of the variables in the logistic regression models including PSAD < 0.15 ng/mL/cc and prior negative biopsy could predict the absence of csPCa. The NPV of mpMRI in detecting csPCa in patients with a prior negative biopsy worsen from 94.5% to 93.3% when combined with PSAD < 0.15 ng/mL/cc. Conclusion: Patients with negative mpMRI findings may not omit repeat biopsy even if their prior biopsy histories are negative and PSADs are < 0.15 ng/mL/cc. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 11791322
- Volume :
- 13
- Database :
- Complementary Index
- Journal :
- Cancer Management & Research
- Publication Type :
- Academic Journal
- Accession number :
- 152398716
- Full Text :
- https://doi.org/10.2147/CMAR.S318404