Diagnosis and Management of Musculoskeletal Disorders

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 603

Special Issue Editors


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Guest Editor
Department of Orthopaedic Surgery, Tokyo Medical University Ibaraki Medical Center, Ami, Ibaraki, Japan
Interests: orthopaedic surgery; computer-assisted surgery; computer vision; biomechanics; hand surgery
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Orthopedic Surgery, National Hospital Organization Mito Medical Center, 280 Sakuranosato, Ibarakimachi, Ibaraki 311-3193, Japan
Interests: histology; bone marrow transplantation; bone necrosis; wrist arthroscopy; MRI; shoulder and elbow surgery

Special Issue Information

Dear Colleagues,

The diagnostic accuracy of musculoskeletal disorders is improving with the development of new imaging equipment, image processing methods, image analysis techniques, and physiological and biochemical analysis technologies. Recently, various new technologies have been introduced, including high-resolution imaging, AI diagnosis, functional imaging, fusion imaging, molecular biological analysis, and physiological analysis. 

The purpose of this Special Issue is to discuss the diagnosis and treatment of various musculoskeletal diseases using the latest imaging techniques, physiological and biochemical analysis methods. This Special Issue invites papers on the latest technologies related to the advances in the diagnosis of musculoskeletal diseases, including computer-assisted assessment, artificial intelligence,  functional imaging, physiological analysis, biological assessment and multimodalities. We are looking for not only original papers but also review papers on the latest technologies.

Dr. Yuichi Yoshii
Dr. Takeshi Ogawa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • musculoskeletal diseases
  • MRI
  • shoulder and elbow
  • Bone Necrosis
  • Wrist Arthroscopy
 

Published Papers (1 paper)

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Research

13 pages, 3679 KiB  
Article
Optimization of Traction Magnetic Resonance Imaging to Improve Visibility of the Elbow Cartilage
by Sho Kohyama, Kazuhiro Ikeda, Yoshikazu Okamoto, Naoyuki Ochiai and Yuichi Yoshii
Diagnostics 2024, 14(6), 630; https://doi.org/10.3390/diagnostics14060630 - 16 Mar 2024
Viewed by 455
Abstract
We previously reported that elbow magnetic resonance imaging (MRI) with 7 kg traction increases the joint space width of the radiocapitellar joint and improves articular cartilage visibility without arthrography. However, the optimal traction weight remains unclear. We assessed the effects of different traction [...] Read more.
We previously reported that elbow magnetic resonance imaging (MRI) with 7 kg traction increases the joint space width of the radiocapitellar joint and improves articular cartilage visibility without arthrography. However, the optimal traction weight remains unclear. We assessed the effects of different traction weights on elbow MRI in 30 healthy volunteers. Elbow MRI was performed without traction and with 3, 5, and 7 kg axial tractions. The joint space width, humeral articular cartilage outline visibility, and intraprocedural pain/discomfort were evaluated. The joint and cartilage parameters were measured at the radiocapitellar joint and the lateral and medial thirds of the ulnohumeral joint. At the radiocapitellar joint, the joint space width increased significantly with traction. The cartilage outline visibility significantly increased with traction, with no significant differences among the traction weights. No significant result was observed at the lateral and medial thirds of the ulnohumeral joint. Pain and discomfort significantly increased as we used heavier traction weights. Elbow MRI with 3 kg traction showed sufficient effects similar to those observed with 7 kg traction with minimal pain and discomfort. There was no difference in the effect of traction between male and female participants. This procedure may enable enhanced visualization of intra-articular elbow injuries. Full article
(This article belongs to the Special Issue Diagnosis and Management of Musculoskeletal Disorders)
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