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

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. (C) 2019 Societe francaise de radiologie. Published by Elsevier Masson SAS. All rights reserved.
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Contributeur : Imvia - Université de Bourgogne <>
Soumis le : jeudi 12 décembre 2019 - 17:01:28
Dernière modification le : mardi 6 octobre 2020 - 16:17:02



S. Transin, R. Souchon, C. Gonindard-Melodelima, R. de Rozario, P. Walker, et al.. Computer-aided diagnosis system for characterizing ISUP grade ≥ 2 prostate cancers at multiparametric MRI: A cross-vendor evaluation. Diagnostic and Interventional Imaging, Elsevier, 2019, 100 (12), pp.801-811. ⟨10.1016/j.diii.2019.06.012⟩. ⟨hal-02407971⟩



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