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Copyright © 2017, Mohty et al. This work is licensed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Necrotizing fasciitis is a devastating infectious disease process that is characterized by extensive soft tissue necrosis along deep fascial planes, systemic toxicity, and high mortality. Ultrasound imaging is a rapid and non-invasive tool that can be used to help make the diagnosis of necrotizing fasciitis by identifying several distinctive sonographic findings. The purpose of this study is to describe the construction of a realistic diagnostic training model for necrotizing fasciitis using fresh frozen cadavers and common, affordable materials.

Presently, fresh non-embalmed cadavers have been used at medical institutions for various educational sessions including cadaver-based ultrasound training sessions. Details for the preparation and construction of a necrotizing fasciitis cadaver model are presented here. This paper shows that the images obtained from the cadaver model closely imitate the ultrasound appearance of fluid and gas seen in actual clinical cases of necrotizing fasciitis.

Therefore, it can be concluded that this cadaver-based model produces high-quality sonographic images that simulate those found in true cases of necrotizing fasciitis and is ideal for demonstrating the sonographic findings of necrotizing fasciitis.

Details

Title
Cadaver-based Necrotizing Fasciitis Model for Medical Training
Author
Mohty, Kurt M; Cravens, Matthew G; Adamas-Rappaport, William J; Amini-Shervin Bahareh; Irving, Steven C; Stea, Nicholas; Adhikari Srikar; Amini, Richard
University/institution
U.S. National Institutes of Health/National Library of Medicine
Publication year
2017
Publication date
2017
Publisher
Springer Nature B.V.
e-ISSN
21688184
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1952672216
Copyright
Copyright © 2017, Mohty et al. This work is licensed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.