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Effects of the addition of quantitative apparent diffusion coefficient data on the diagnostic performance of the PI-RADS v2 scoring system to detect clinically significant prostate cancer

Authors :
Eurico J Dornelles Neto
Marcia Oliveira Moraes
Matheus Zanon
Bruno Hochhegger
Matteo Baldisserotto
Jorge Antonio Pastro Noronha
Alexandre Agra
Diego H. Roman
Gustavo F. Carvalhal
Francisco de Souza Santos
Josenel Copetti
Source :
World Journal of Urology. 38:981-991
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

To evaluate the impact of the addition of quantitative apparent diffusion coefficient (ADC) data into the diagnostic performance of the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) scoring system to predict clinically significant prostate cancer (CSPCa). We retrospectively included 91 consecutive patients who underwent prostate multiparametric magnetic resonance imaging (mp-MRI) and histopathological evaluation. Mp-MRI images were reported by the PI-RADSv2 scoring system and patients were divided into groups considering the likelihood of CSPCa. ADC value and ratio were obtained. Findings were correlated with histopathological data. CSPCa was found in 41.8% of cases (n = 38). PI-RADSv2 score 3–5 yielded a sensitivity of 97.4% (95% confidence intervals 86.5–99.5), a specificity of 50.9% (37.9–63.9), and AUC of 0.74 (0.67–0.81) to predict CSPCa. ADC value

Details

ISSN :
14338726 and 07244983
Volume :
38
Database :
OpenAIRE
Journal :
World Journal of Urology
Accession number :
edsair.doi.dedup.....83e62c831ddb8b207e14eee256de0ca1
Full Text :
https://doi.org/10.1007/s00345-019-02827-2