Clinical Application of Current and Emerging MRI Techniques for Assessing Joint Disorders
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 1704
Special Issue Editor
2. Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
Interests: anterior cruciate ligament; magnetic resonance; orthopedic sports medicine; musculoskeletal imaging; knee injuries
Special Issue Information
Dear Colleagues,
Magnetic resonance imaging (MRI) is the imaging modality of choice for assessing joint disorders due to its excellent soft tissue contrast and inherent patient safety. The key features of modern MRI methods for the routine assessment of joints include speed, accuracy, precision and cost-effectiveness. In recent years, there have been remarkable advances in MRI hardware and software. To date, the imaging protocols and techniques employed for the diagnosis of internal joint derangement can vary considerably amongst MRI centers. Topics for debate include, but are not limited to, the comparison of modern low-field versus high-field musculoskeletal MRI, the need for MR arthrography using modern (high-field) MRI equipment, the role of 3D sequences in comprehensive joint assessment in clinical practice (as a supplement to or in replacement of standard 2D sequences), and various acceleration methods, including deep-learning-based acquisition and image reconstruction techniques. Accordingly, we are announcing a Special Issue entitled “Clinical Application of Current and Emerging MRI Techniques for Assessing Joint Disorders”. This Special Issue aims to collect original research and systematic reviews that investigate the optimum MRI strategies for patients with joint disorders. The editor specifically welcomes papers that consider the performance of (novel) MRI methods for common joint disorders.
Prof. Dr. Pieter Van Dyck
Guest Editor
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Keywords
- MRI
- joint disorders
- musculoskeletal imaging
- artificial intelligence
- cost-effectiveness
- efficiency
- rapid MRI
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