Utility of Magnetic Resonance Arthrography in the Age of Expanded Magnetic Resonance Imaging Capabilities: A Global Survey Perspective.

Background Magnetic resonance imaging (MRI) arthrography has been a mainstay in the diagnosis of musculoskeletal (MSK) joint-related pathology for decades. With the advent of MRI and further advancements incorporating powerful magnetic fields, the radiological landscape is undergoing a shift. The objective of this study is to evaluate the relevance and preference for MRI arthrography versus MRI among MSK radiologists in our current clinical practice across a range of geographic locations.

Automated Deep Learning-Based Finger Joint Segmentation in 3-D Ultrasound Images With Limited Dataset.

Ultrasound imaging has shown promise in assessing synovium inflammation associated early stages of rheumatoid arthritis (RA). The precise identification of the synovium and the quantification of inflammation-specific imaging biomarkers is a crucial aspect of accurately quantifying and grading RA. In this study, a deep learning-based approach is presented that automates the segmentation of the synovium in ultrasound images of finger joints affected by RA.

Current updates in MSK infection imaging: A narrative review.

This article presents a comprehensive overview of the diagnostic utility of existing imaging techniques including radiography, computed tomography, ultrasonography, magnetic resonance imaging (MRI), and radionuclide imaging in the context of the most common orthopaedic or musculoskeletal infections. It also includes illustrative images showcasing significant findings in various musculoskeletal infections including osteomyelitis, cellulitis, septic arthritis, necrotising infections and peri-prosthetic joint infections and their associated complications.

Digital artery flow hemodynamics: An ultrasonographic study.

Background: There is a lack of data regarding the baseline hemodynamic blood flow parameters of the wrist and digits. Therefore, we aimed to quantify the digital and radial artery blood flow parameters using ultrasound and assess the influence of patient characteristics on hemodynamics.

Methods: We analyzed ultrasonographic data from 25 patients (50 hands) between October 2019 and December 2021.