AIMC Topic: Sacroiliitis
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Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.
RMD open
Dec 23, 2024
PURPOSE: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Enhancing the Diagnostic Accuracy of Sacroiliitis: A Machine Learning Approach Applied to Computed Tomography Imaging.
British journal of hospital medicine (London, England : 2005)
Aug 30, 2024
Sacroiliitis is a challenging condition to diagnose accurately due to the subtle nature of its presentation in imaging studies. This study aims to improve the diagnostic accuracy of sacroiliitis by applying advanced machine learning techniques to co...
Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis.
European journal of radiology
Feb 1, 2024
OBJECTIVES: This study aimed to evaluate the performance of a deep learning radiomics (DLR) model, which integrates multimodal MRI features and clinical information, in diagnosing sacroiliitis related to axial spondyloarthritis (axSpA).
Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.
Journal of magnetic resonance imaging : JMRI
Jan 2, 2024
BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system.
A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.
Diagnostic and interventional imaging
Apr 2, 2023
PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone marrow edema (BME) in sacroiliac joints and predict the MRI Assessment of SpondyloArthritis International Society (ASAS) definition of active sacroili...
[Deep learning for detection of radiographic sacroiliitis].
Zeitschrift fur Rheumatologie
Jun 23, 2021
Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance.
Arthritis research & therapy
Apr 8, 2021
BACKGROUND: Radiographs of the sacroiliac joints are commonly used for the diagnosis and classification of axial spondyloarthritis. The aim of this study was to develop and validate an artificial neural network for the detection of definite radiograp...
Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging.
Advances in rheumatology (London, England)
May 7, 2020
BACKGROUND: Currently, magnetic resonance imaging (MRI) is used to evaluate active inflammatory sacroiliitis related to axial spondyloarthritis (axSpA). The qualitative and semiquantitative diagnosis performed by expert radiologists and rheumatologis...
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings.
Medical image analysis
Jul 11, 2019
Early diagnosis of sacroiliitis may lead to preventive treatment which can significantly improve the patient's quality of life in the long run. Oftentimes, a CT scan of the lower back or abdomen is acquired for suspected back pain. However, since the...
Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs.
Modern rheumatology
Jan 3, 2023
OBJECTIVES: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs.
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