Computer-aided diagnosis system for characterizing ISUP grade ? 2 prostate cancers at multiparametric MRI: A cross-vendor evaluation - 24/07/19
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Abstract |
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, n=104; transition zone [TZ], n=23) were described. In PZ, CADx and PI-RADSv2 scores had similar AUCs for characterizing ISUP grade≥2 cancers (0.78 [95% confidence interval (CI): 0.69–0.87] vs. 0.74 [95%CI: 0.62–0.82], respectively) (P=0.59). Sensitivity and specificity were respectively 89% (95%CI: 82–97%) and 42% (95%CI: 26–58%) for the CADx score, and 97% (95%CI: 93–100%) and 37% (95%CI: 22–52%) for the PI-RADSv2 score. In TZ, both scores showed poor specificity.
Conclusion |
In this external cohort, the CADx and PI-RADSv2 scores showed similar performances in characterizing ISUP grade≥2 cancers.
Le texte complet de cet article est disponible en PDF.Keywords : Male, Prostatic neoplasms, Magnetic resonance imaging (MRI), Diagnosis, Computer-assisted diagnosis
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