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European Journal of Radiology
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naïve patient population

Authors: Cuocolo, Renato; STANZIONE, ARNALDO; RUSCONI, GIOVANNI; Petretta, Mario; Ponsiglione, Andrea; Fusco, Ferdinando; Longo, Nicola; +4 Authors

PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naïve patient population

Abstract

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.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.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.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.

Country
Italy
Keywords

Aged, 80 and over, Image-Guided Biopsy, Male, Prostate cancer, Prostate, Prostatic Neoplasms, Bi-parametric MR; Biopsy-naïve patients; Prostate cancer; Prostate specific antigen density, Organ Size, Middle Aged, Prostate-Specific Antigen, Prostate specific antigen density, Magnetic Resonance Imaging, ROC Curve, Predictive Value of Tests, Biopsy-naïve patients, Humans, Bi-parametric MR, Bi-parametric MR; Biopsy-naïve patients; Prostate cancer; Prostate specific antigen density; Aged; Aged, 80 and over; Humans; Image-Guided Biopsy; Male; Middle Aged; Organ Size; Predictive Value of Tests; Prostate; Prostate-Specific Antigen; Prostatic Neoplasms; ROC Curve; Retrospective Studies; Magnetic Resonance Imaging, Bi-parametric MR,Biopsy-na{\"{i}}ve patients,Prostate cancer,Prostate specific antigen density, Aged, Retrospective Studies

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    popularity
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    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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