AIMC Topic: Sacroiliac Joint
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Spondyloarthritis Research and Treatment Network (SPARTAN) Clinical and Imaging Year in Review 2024.
Current rheumatology reports
Jul 1, 2025
PURPOSE OF REVIEW: Diagnostic delay remains a critical challenge in axial spondyloarthritis (axSpA). This review highlights key clinical and imaging research from 2024 that addresses this persistent issue, with a focus on the evolving roles of MRI, a...
Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis.
Annals of the rheumatic diseases
Jan 2, 2025
OBJECTIVES: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).
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.
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.
Is AI the way forward for reducing metal artifacts in CT? Development of a generic deep learning-based method and initial evaluation in patients with sacroiliac joint implants.
European journal of radiology
Apr 20, 2023
PURPOSE: To develop a deep learning-based metal artifact reduction technique (dl-MAR) and quantitatively compare metal artifacts on dl-MAR-corrected CT-images, orthopedic metal artifact reduction (O-MAR)-corrected CT-images and uncorrected CT-images ...
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...
The efficacy of "TiRobot"orthopaedic robot-assisted VS conventional fluoroscopic percutaneous screw fixation of the sacroiliac joint.
International orthopaedics
Dec 27, 2022
PURPOSE: This study is to compare the precision and safety of the orthopaedic robot with conventional fluoroscopy for assisted percutaneous sacroiliac joint screw implantation.
Imaging of Structural Abnormalities of the Sacrum: The Old Faithful and Newly Emerging Techniques.
Seminars in musculoskeletal radiology
Sep 14, 2022
The sacrum and sacroiliac joints pose a long-standing challenge for adequate imaging because of their complex anatomical form, oblique orientation, and posterior location in the pelvis, making them subject to superimposition. The sacrum and sacroilia...
Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.
Radiology
Aug 9, 2022
Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, evaluation is time-consuming and requires profound expertise because noninflammatory degenerative changes can mimic axSpA, and early signs may therefor...
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