Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study
Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Proceedings of the 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Special issue
DOI of the original publication
Link
Series
EPiC Series in Health Sciences
Series number
Volume
5
Issue / Number
Pages / Duration
25-30
Patent number
Publisher / Publishing institution
EasyChair
Place of publication / Event location
Stockport
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
For the complex clinical issue of treatment decision for proximal humeral fractures, dedicated software based on three-dimensional (3D) computer tomography (CT) models would potentially allow for a more accurate fracture classification and help to plan the surgical strategy needed to reduce the fracture in the operating theatre. The aim of this study was to elaborate the feasibility of implementation of such software using state-of-the-art cloud technology to enable access to its functionalities in a distributed manner. Feasibility was studied by implementation of a prototype application, which was tested in a usability study with five biomedical engineers. Implementation of a cloud-based solution was feasible using state-of-the-art technology under application of a specific software architectural approach allowing to distribute computational load between client and server. Mean System Usability Scale (SUS) Score for the developed application was determined to be 63 (StDev 20.4). These results can be interpreted as a medium low usability with high standard deviation of the measured SUS score. We conclude that more test subjects should be included in future studies and the developed application should be evaluated with a representative user group such as orthopaedic shoulder surgeons in a clinical setting.
Keywords
Subject (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
Event
21st Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)
Exhibition start date
Exhibition end date
Conference start date
08.06.2022
Conference end date
11.06.2022
Date of the last check
ISBN
ISSN
2398-5305
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
Citation
KALT, Denise, Ariane GERBER POPP, Markus DEGEN, Dominique BRODBECK, Florian COIGNY, Thomas SUTER und Erik SCHKOMMODAU, 2022. Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study. In: Ferdinando RODRIGUEZ Y BAENA, Joshua W. GILES und Eric STINDEL (Hrsg.), Proceedings of the 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery. Stockport: EasyChair. 2022. S. 25–30. EPiC Series in Health Sciences. Verfügbar unter: https://doi.org/10.26041/fhnw-10358