Computer-aided diagnosis system for characterizing ISUP grade >= 2 prostate cancers at multiparametric MRI: A cross-vendor evaluation

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TitreComputer-aided diagnosis system for characterizing ISUP grade >= 2 prostate cancers at multiparametric MRI: A cross-vendor evaluation
Type de publicationJournal Article
Year of Publication2019
AuteursTransin S., Souchon R., Gonindard-Melodelima C., de Rozario R., Walker P., M. de la Vega F, Loffroy R., Cormier L., Rouviere O.
JournalDIAGNOSTIC AND INTERVENTIONAL IMAGING
Volume100
Pagination801-811
Date PublishedDEC
Type of ArticleArticle
ISSN2211-5684
Mots-clésComputer-assisted diagnosis, Diagnosis, Magnetic resonance imaging (MRI), Male, Prostatic neoplasms
Résumé

{Purpose: To assess the performance of a computer-aided diagnosis (CADx) system trained at characterizing International Society of Urological Pathology (ISUP) grade >= 2 peripheral zone (PZ) prostate cancers on multiparametric magnetic resonance imaging (mpMRI) examinations from a different institution and acquired on different scanners than those used for the training database. Patients and methods: Preoperative mpMRIs of 74 men (median age, 65.7 years) treated by prostatectomy between 2014 and 2017 were retrospectively selected. One radiologist outlined suspicious lesions and scored them using Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2); their CADx score was calculated using a classifier trained on an independent database of 106 patients treated by prostatectomy in another institution. The lesions' nature was assessed by comparison with prostatectomy whole-mounts. Diagnostic accuracy was estimated with areas under receiver operating characteristic curves (AUCs). Sensitivity and specificity were calculated using a CADx threshold (>= 0.21) that yielded 95% sensitivity in the training database, and a PI-RADSv2 >= 3 threshold. Results: A total of 127 lesions (PZ

DOI10.1016/j.diii.2019.06.012