Prostate Volume Estimation on MRI: Accuracy and Effects of Ellipsoid and Bullet-Shaped Measurements on PSA Density.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
08 2021
Historique:
received: 21 04 2020
revised: 13 05 2020
accepted: 14 05 2020
pubmed: 20 6 2020
medline: 3 8 2021
entrez: 20 6 2020
Statut: ppublish

Résumé

PSA density (PSAd), an important decision-making parameter for patients with suspected prostate cancer (PCa), is dependent on magnetic resonance imaging prostate volume (PV) estimation. We aimed to compare the accuracy of the ellipsoid and bullet-shaped formulas with manual whole-gland segmentation as reference standard and to evaluate the corresponding PSAd diagnostic accuracy in predicting clinically significant PCa. We retrospectively analysed 195 patients with suspected PCa who underwent magnetic resonance imaging and prostate biopsy. Patients with PCa were categorized according to ISUP score. PV and corresponding PSAd were calculated with manual segmentation (mPV and mPSAd) as well as with ellipsoid (ePV and ePSAd) and bullet-shaped (bPV and bPSAd) formulas. Inter and intra-reader reproducibility were assessed with Lin's concordance correlation coefficient and the intraclass correlation coefficient (ICC). A 2-way analysis of variance with post-hoc Bonferroni test was used for assessing PV differences. Predictive values of PSAd calculated with different methods for detecting clinically significant PCa were evaluated by receiver operating characteristic curve analysis and Youden's index. Both intra (ρ = 0.99, ICC = 0.99) and inter-reader (ρ = 0.98, ICC = 0.98) reproducibility were excellent. No significant difference was found between ePV and reference standard (p = 1.00). bPV was significantly different from both (p = 0.00). PSAd (mPSAd/ePSAd cut-off ≥ 0.15, bPSAd cut-off ≥ 0.12) had sensitivity = 69-70%, specificity = 72-75%, areas under the curve = 0.757-0.760 (p = 0.70-0.88). Our work shows that when using bullet-shaped formula, a different PSAd cut-off must be considered to avoid PCa under-diagnosis and inaccurate risk-stratification.

Identifiants

pubmed: 32553281
pii: S1076-6332(20)30290-7
doi: 10.1016/j.acra.2020.05.014
pii:
doi:

Substances chimiques

Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e219-e226

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Arnaldo Stanzione (A)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Andrea Ponsiglione (A)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy. Electronic address: a.ponsiglionemd@gmail.com.

Gianluca Armando Di Fiore (GA)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Stefano Giusto Picchi (SG)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Martina Di Stasi (M)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Francesco Verde (F)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Mario Petretta (M)

Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy.

Massimo Imbriaco (M)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Renato Cuocolo (R)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

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Classifications MeSH