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Diagnostics
Special Issues
Computer Aided Diagnosis in Orthopedics Volume II
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Computer Aided Diagnosis in Orthopedics Volume II

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 1666

Special Issue Editors

Dr. Yuichi Yoshii

E-Mail Website
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
Dr. Kunihiro Oka

E-Mail Website
Guest Editor
Department of Orthopaedic Surgery, Osaka University, Graduate School of Medicine, Suita, Osaka, Japan
Interests: computer-aided surgery; biomechanics; hand surgery; traumatology; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Chien-Kuo Wang

E-Mail Website
Guest Editor
Department of Medical Imaging, National Cheng Kung University Hospital, Tainan, Taiwan
Interests: musculoskeletal radiology; spine imaging; computer-aided diagnosis; interventional radiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Computer-aided diagnosis is a method of image information analysis, using computer-based technology and utilizing results for diagnosis purposes. In recent years, the usefulness of computer-aided diagnosis in various orthopedic disorders has been reported. Three-dimensional bone morphology evaluations, preoperative planning, intraoperative navigation, and robotic surgery based on computer-assisted technology are considered to be effective method in computer-aided diagnosis. These methods are becoming important elements of orthopedics by improving the accuracy of diagnosis and surgery, reducing complications, elucidating pathologies, and providing a better prognosis. In addition, research on artificial intelligence (AI) for orthopedic disorders offers new possibilities of medical care.

Since the Special Issue of "Computer-Aided Diagnosis in Orthopedics" was well received, we decided to collate articles to be published in Volume 2 of this Special Issue. This issue will continue to focus on topics related to computer-assisted assessment, artificial intelligence, preoperative planning, intraoperative assessment, morphological and pathological analyses, visualization, and combined modality. We are also looking for articles on the clinical applications of extended reality (XR) technology in orthopedics. We look forward to your contributions.

Dr. Yuichi Yoshii
Dr. Kunihiro Oka
Dr. Chien-Kuo Wang
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

  • extended reality (XR)
  • computer-aided diagnosis
  • artificial intelligence
  • computer vision
  • computer-assisted orthopedic surgery
  • computer surgical planning
  • navigation surgery
  • musculoskeletal radiology

Published Papers (1 paper)

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Research

9 pages, 1549 KiB  
Article
Computer-Aided Assessment of Three-Dimensional Standard Bone Morphology of the Distal Radius
by Akira Ikumi, Yuichi Yoshii, Yusuke Eda and Tomoo Ishii
Diagnostics 2022, 12(12), 3212; https://doi.org/10.3390/diagnostics12123212 - 17 Dec 2022
Cited by 1 | Viewed by 1096
Abstract
The present study attempted to define the three-dimensional (3D) locations of reference points and standard measures of the distal radius of a normal wrist joint. One hundred wrists from 50 males and 50 females who matched the age distribution (19–95 years old, mean: [...] Read more.
The present study attempted to define the three-dimensional (3D) locations of reference points and standard measures of the distal radius of a normal wrist joint. One hundred wrists from 50 males and 50 females who matched the age distribution (19–95 years old, mean: 56.0 years old) were evaluated. Computed tomography (CT) images of normal wrist joints acquired for comparison with the affected side were used. The absence of a previous history and complaints in the unaffected wrist was confirmed in an interview and with medical records. Three-dimensional images of the distal radius were reconstructed using the data obtained from CT scans. The site at which the major axis of the radial diaphysis contacted the distal radius joint surface was defined as the origin. The 3D coordinates of reference points for the radial styloid process (1), sigmoid notch volar edge (2), and sigmoid notch dorsal edge (3) as well as the barycenter for the joint surface and joint surface area were evaluated. A slope of the line connecting coordinates 1–2 in the coronal plane was evaluated as the 3D radial inclination (3DRI) and that connecting coordinates 2–3 in the sagittal plane as the 3D palmar tilt (3DPT). Each measurement value was compared between males and females. The positions of each reference point from the origin were as follows: (1) 14.2 ± 1.3/12.6 ± 1.1 mm for the distal-palmar-radial position; (2) 19.3 ± 1.3/16.9 ± 1.3 mm for the proximal-palmar-ulnar position; (3) 15.6 ± 1.4/14.1 ± 0.9 mm for the proximal-dorsal-ulnar position; and (barycenter) 4.1 ± 0.7/3.7 ± 0.7 mm for the proximal-volar-ulnar position for males and females, respectively. The areas of the radius articular surface were 429.0 ± 67.9/347.6 ± 44.6 mm2 for males and females, respectively. The 3DRI and 3DPT were 24.2 ± 4.0/25.7 ± 3.1° and 10.9 ± 5.1/13.2 ± 4.4° for males and females, respectively. Significant differences were observed in all measurement values between males and females (p < 0.01). The reference points and measured values obtained in the present study will serve as criteria for identifying the dislocation direction and reduction conditions of distal radius fractures in 3D images. Full article
(This article belongs to the Special Issue Computer Aided Diagnosis in Orthopedics Volume II)
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