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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.
Sensitivity and Specificity Male Middle Aged Retrospective Studies Female Adult Area Under Curve Radiography Sacroiliac Joint Sacroiliitis Humans Disease Progression Deep Learning ROC Curve
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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...
Female Adult Male Sacroiliitis Middle Aged ROC Curve Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed
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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).
Radiomics Deep Learning Magnetic Resonance Imaging Sacroiliac Joint Humans Retrospective Studies Sacroiliitis Axial Spondyloarthritis
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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.
Magnetic Resonance Imaging Sacroiliac Joint Sacroiliitis Severity of Illness Index Deep Learning Canada Spondylarthritis Prospective Studies Female Reproducibility of Results Adult Male Middle Aged Humans Algorithms
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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...
Spondylarthritis Sacroiliac Joint Bone Marrow Diseases Sacroiliitis Female Adult Middle Aged Back Pain Edema Deep Learning Humans Magnetic Resonance Imaging Prospective Studies
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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.
Humans Neural Networks, Computer Sacroiliitis Retrospective Studies Deep Learning Radiography
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Comment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.

Rheumatology (Oxford, England) Oct 6, 2022
Spondylarthritis Axial Spondyloarthritis Humans Magnetic Resonance Imaging Algorithms Sacroiliac Joint Deep Learning Sacroiliitis
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Comment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis: reply.

Rheumatology (Oxford, England) Oct 6, 2022
Sacroiliac Joint Humans Algorithms Sacroiliitis Spondylarthritis Deep Learning Axial Spondyloarthritis Magnetic Resonance Imaging
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Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.

Rheumatology (Oxford, England) Oct 6, 2022
OBJECTIVE: The aim of this study was to develop a deep learning algorithm for detection of active inflammatory sacroiliitis in short tau inversion recovery (STIR) sequence MRI.
Bone Marrow Diseases Sacroiliitis Spondylarthritis Axial Spondyloarthritis Magnetic Resonance Imaging Edema Sacroiliac Joint Humans Algorithms Deep Learning
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Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis.

Rheumatology (Oxford, England) Dec 1, 2021
Sacroiliac Joint Sacroiliitis Axial Spondyloarthritis Adult Male Humans Magnetic Resonance Imaging Neural Networks, Computer Female
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