Sunrise Session
Emerging Clinical Applications in Musculoskeletal MR Imaging: Osteoarthritis
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Session Topic: Emerging Clinical Applications in Musculoskeletal MRI Q&A
Session Sub-Topic: Emerging Clinical Applications in Musculoskeletal MR Imaging: Osteoarthritis
Sunrise Session
ORGANIZERS: Riccardo Lattanzi, Kimberly Amrami, Jung-Ah Choi, Jan Fritz, Miika Nieminen, Hiroshi Yoshioka
| Thursday Parallel 1 Live Q&A | Thursday, 13 August 2020, 15:50 - 16:35 UTC | Moderators: Manushka Vaidya |
Skill Level: Intermediate to Advanced
Session Number: S-W-06
Overview
This course will introduce technical and clinical aspects of advanced topics in musculoskeletal MR, including whole-body MRI, MRI of neuromuscular disease, advanced MR imaging of tendinopathy, and MRI for osteoarthritis. The course emphasis will be on incorporating advanced imaging techniques for these applications in relevant clinical settings.
Target Audience
The target audience is radiologists and imaging scientists with specialty expertise in musculoskeletal imaging who are interested in incorporating advanced techniques into clinical practice and research.
Educational Objectives
As a result of attending this course, participants should be able to:
- Describe the application of techniques and applications for WBMRI with diffusion at 1.5 and 3T;
- Identify clinical applications and opportunities for the use of WBMRI;
- Name and apply techniques such as ultrashort TE for advanced imaging of tendinopathy;
- Apply quantitative imaging for MRI of osteoarthritis for improved value and diagnostic accuracy;
- List the applications of MRI for evaluating neuromuscular disease; and
- Explain the use of non-proton imaging techniques such as phosphorus and sodium imaging and spectroscopy for neuromuscular dieases.
| MRI of Osteoarthritis: Technical
Valentina Pedoia
In an effort to develop quantitative biomarkers for degenerative joint disease and fill the void that exists for diagnosing, monitoring and assessing the extent of whole joint degeneration, the past decade has been marked by a greatly increased role of noninvasive imaging. This coupled with recent advances in image processing and deep learning opens new possibilities for promising quantitative techniques including ability in automatically segment multiple musculoskeletal tissues and detect and stage the severity of morphological and biochemical abnormalities. In this lecture, we aim to summarize recent advances in quantitative imaging, image processing and deep learning techniques to study OA.
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| MRI of Osteoarthritis: Clinical
Shadpour Demehri
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