Shoulder disorders are very common in the middle-aged population, due to several causes. The traditional diagnosis relies on the knowledge and the experience of the physician but a clinical misinterpretation in this early phase can have serious consequences for the patient’s health. The aim of this study is to investigate morphological shoulder parameters, as indicators of healthy or pathological conditions. In this way, it is possible to generate a quantitative report, based on measurements. It can be exploited as a medical support tool for physicians to either confirm the diagnosis, or to raise reasonable doubts, as far as the results differed. However, not all the shoulder disorders can be identified through this approach. Magnetic Resonance and Computed Tomography images of pathological shoulders have been employed for the study. The predefined morphological parameters have been measured on 2D medical images as well as from 3D reconstructed virtual model. Critical Shoulder Angle has been identified as the most significant parameter. It is well known that it is affected by Glenoid Inclination, Lateral Acromial Extension and Acromial Height. However, the contribution of each factor is not clear. Hence, a statistical analysis has been performed to understand how its sub-parameters influence it.

(2022). A Morphological Evaluation of Shoulder Parameters: A Medical Support Tool for the Diagnosis . Retrieved from https://hdl.handle.net/10446/232678

A Morphological Evaluation of Shoulder Parameters: A Medical Support Tool for the Diagnosis

Ghidotti, Anna;Regazzoni, Daniele;Rizzi, Caterina
2022-01-01

Abstract

Shoulder disorders are very common in the middle-aged population, due to several causes. The traditional diagnosis relies on the knowledge and the experience of the physician but a clinical misinterpretation in this early phase can have serious consequences for the patient’s health. The aim of this study is to investigate morphological shoulder parameters, as indicators of healthy or pathological conditions. In this way, it is possible to generate a quantitative report, based on measurements. It can be exploited as a medical support tool for physicians to either confirm the diagnosis, or to raise reasonable doubts, as far as the results differed. However, not all the shoulder disorders can be identified through this approach. Magnetic Resonance and Computed Tomography images of pathological shoulders have been employed for the study. The predefined morphological parameters have been measured on 2D medical images as well as from 3D reconstructed virtual model. Critical Shoulder Angle has been identified as the most significant parameter. It is well known that it is affected by Glenoid Inclination, Lateral Acromial Extension and Acromial Height. However, the contribution of each factor is not clear. Hence, a statistical analysis has been performed to understand how its sub-parameters influence it.
2022
Inglese
Proceedings of ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference . Volume 2: 42nd Computers and Information in Engineering Conference (CIE)
978-0-7918-8621-2
art. DETC2022-89974
1
7
online
United States
New York (NY)
The American Society of Mechanical Engineers
ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, St. Louis, Missouri (USA), 14–17 August 2022
42nd
St. Louis, Missouri (USA)
14–17 August 2022
The American Society of Mechanical Engineers
internazionale
contributo
Settore ING-IND/15 - Disegno e Metodi dell'Ingegneria Industriale
Morphological Analysis; Critical Shoulder Angle; Shoulder Disorders; Patient Assessment
indice consultabile alla pagina degli atti
info:eu-repo/semantics/conferenceObject
5
Ghidotti, Anna; Locatelli, Fabio; Belotti, Nicolò; Regazzoni, Daniele; Rizzi, Caterina
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
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273
(2022). A Morphological Evaluation of Shoulder Parameters: A Medical Support Tool for the Diagnosis . Retrieved from https://hdl.handle.net/10446/232678
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