Publications by authors named "Pierre Baseilhac"

: This multicentric study aimed to evaluate the efficacy and safety of prostatic artery embolization (PAE) to remove indwelling urinary catheter (IUC) in patients with symptomatic benign prostatic hyperplasia (BPH). Secondary objectives were to identify features associated with post-PAE catheter-free survival (PCFS). : All consecutive patients who underwent PAE for IUC related to BPH with a follow-up of at least 2 years (except for early death) in 6 French University Hospitals were retrospectively included.

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Background And Objective: Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≥2 prostate cancer on multiparametric MRI.

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Purpose: The purpose of this study was to perform a systematic review of the literature on the diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based algorithms aimed at characterizing/detecting prostate cancer on magnetic resonance imaging (MRI).

Materials And Methods: Medline, Embase and Web of Science were searched for studies published between January 2018 and September 2022, using a histological reference standard, and assessing prostate cancer characterization/detection by AI-based MRI algorithms in test cohorts composed of more than 40 patients and with at least one of the following independency criteria as compared to the training cohort: different institution, different population type, different MRI vendor, different magnetic field strength or strict temporal splitting.

Results: Thirty-five studies were selected.

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