POS0341 PERFORMANCE ANALYSIS OF A DEEP LEARNING ALGORITHM TO DETECT POSITIVE SIJ MRI ACCORDING TO THE ASAS DEFINITION IN AXSPA PATIENTS - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2023

POS0341 PERFORMANCE ANALYSIS OF A DEEP LEARNING ALGORITHM TO DETECT POSITIVE SIJ MRI ACCORDING TO THE ASAS DEFINITION IN AXSPA PATIENTS

Abstract

Background: Magnetic resonance imaging (MRI) of the sacroiliac joints (SIJ) is an essential tool in the evaluation of patients with axial spondyloarthritis (axSpA). In-depth knowledge of characteristic MRI lesions and their definitions, as well as reliability of identification and scoring, varies amongst general radiologists and rheumatologists.[1] A deep learning algorithm was developed to detect the presence of inflammation in SIJ MRI (MRI+) scans with promising results.[2] Objectives: The aim of this diagnostic performance study was to assess the ability of a deep learning algorithm to identify MRI+ scans in a study cohort of axSpA patients.

Dates and versions

hal-04402690 , version 1 (18-01-2024)

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Joeri Nicolaes, Evi Tselenti, Théodore Aouad, Clementina López-Medina, Antoine Feydy, et al.. POS0341 PERFORMANCE ANALYSIS OF A DEEP LEARNING ALGORITHM TO DETECT POSITIVE SIJ MRI ACCORDING TO THE ASAS DEFINITION IN AXSPA PATIENTS. EULAR 2023 - European Congress of Rheumatology, May 2023, Milan, Italy. pp.418.1-418, ⟨10.1136/annrheumdis-2023-eular.2357⟩. ⟨hal-04402690⟩
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