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PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naïve patient population.
- Source :
-
European journal of radiology [Eur J Radiol] 2018 Jul; Vol. 104, pp. 64-70. Date of Electronic Publication: 2018 May 04. - Publication Year :
- 2018
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Abstract
- Purpose: Bi-parametric prostate MR (bp-MR) is a valuable tool for detection and characterization of prostate cancer (PCa). Recent studies suggested that PSA-density (PSA-D) in combination with multi-parametric prostate MR as well as bp-MR may achieve a higher diagnostic accuracy than either alone. We aimed to evaluate the diagnostic performance of bp-MR, PSA-D and their combination in biopsy-naïve patients.<br />Methods and Materials: We retrospectively analyzed 334 consecutive patients who underwent prostate MR on a 3T scanner. Only patients (n = 114) who underwent TRUS-biopsy within 30 days following MR with no previous prostate biopsies were considered. Our protocol included T2-weighted and DWI sequences. A Likert score based on PI-RADS v2 was used for bp-MR evaluation. Lesions were graded histopathologically using the ISUP score. We assessed three scenarios: detection of lesions independently of ISUP score (ISUP ≥ 1), detection of both intermediate and clinically significant lesions (ISUP ≥ 2) and detection of clinically significant lesions alone (ISUP ≥ 3). Predictive value of bp-MR and PSA-D was evaluated by ROC curves and logistic regression analysis. A p value < 0.05 was considered statistically significant.<br />Results: In all evaluated scenarios, bp-MR showed a significantly higher predictive power (AUC = 0.87-0.95) compared to the performance of PSA-D (AUC = 0.73-0.79), while their combination (AUC = 0.91-0.95) showed no statistically significant improvement compared to bp-MR alone.<br />Conclusion: Our results confirm that bp-MR is a powerful tool in detection of clinically significant PCa. Contrary to findings in the recent literature, PSA-D does not appear to significantly improve its diagnostic performance.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Subjects :
- Aged
Aged, 80 and over
Humans
Image-Guided Biopsy methods
Male
Middle Aged
Organ Size
Predictive Value of Tests
Prostatic Neoplasms diagnostic imaging
Prostatic Neoplasms pathology
ROC Curve
Retrospective Studies
Magnetic Resonance Imaging methods
Prostate pathology
Prostate-Specific Antigen blood
Prostatic Neoplasms blood
Prostatic Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1872-7727
- Volume :
- 104
- Database :
- MEDLINE
- Journal :
- European journal of radiology
- Publication Type :
- Academic Journal
- Accession number :
- 29857868
- Full Text :
- https://doi.org/10.1016/j.ejrad.2018.05.004