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Performance of a Region of Interest–based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database—CAD-FIRST Study

Authors :
Couchoux, Thibaut
Jaouen, Tristan
Melodelima-Gonindard, Christelle
Baseilhac, Pierre
Branchu, Arthur
Arfi, Nicolas
Aziza, Richard
Barry Delongchamps, Nicolas
Bladou, Franck
Bratan, Flavie
Brunelle, Serge
Colin, Pierre
Correas, Jean-Michel
Cornud, François
Descotes, Jean-Luc
Eschwege, Pascal
Fiard, Gaelle
Guillaume, Bénédicte
Grange, Rémi
Grenier, Nicolas
Lang, Hervé
Lefèvre, Frédéric
Malavaud, Bernard
Marcelin, Clément
Moldovan, Paul C.
Mottet, Nicolas
Mozer, Pierre
Potiron, Eric
Portalez, Daniel
Puech, Philippe
Renard-Penna, Raphaele
Roumiguié, Matthieu
Roy, Catherine
Timsit, Marc-Olivier
Tricard, Thibault
Villers, Arnauld
Walz, Jochen
Debeer, Sabine
Mansuy, Adeline
Mège-Lechevallier, Florence
Decaussin-Petrucci, Myriam
Badet, Lionel
Colombel, Marc
Ruffion, Alain
Crouzet, Sébastien
Rabilloud, Muriel
Souchon, Rémi
Rouvière, Olivier
Source :
European Urology Oncology; October 2024, Vol. 7 Issue: 5 p1113-1122, 10p
Publication Year :
2024

Abstract

The overall performance of the tested computer-aided diagnosis (CADx) system was similar to that of the Prostate Imaging Reporting and Data System version 2 score assigned prospectively at the time of biopsy. The CADx predefined diagnostic thresholds, which provided 90% sensitivity in the training dataset, yielded sensitivity of 86% (95% confidence interval: 76–94) and specificity of 64% (95% confidence interval: 55–74) in the test dataset. The CADx score could help stratify the risk of clinically significant prostate cancer in patients with positive magnetic resonance imaging and negative prostate-specific antigen density.

Details

Language :
English
ISSN :
25889311
Volume :
7
Issue :
5
Database :
Supplemental Index
Journal :
European Urology Oncology
Publication Type :
Periodical
Accession number :
ejs65692189
Full Text :
https://doi.org/10.1016/j.euo.2024.03.003