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A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics
Objectives: Ultrasound (US) is a sensitive diagnostic tool for detecting pneumothorax (PTX), but methods are needed to optimally teach this technique outside of direct patient care. In training and research settings, porcine PTX models are sometimes used, but the description of the PTX topography in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502747/ https://www.ncbi.nlm.nih.gov/pubmed/22594363 http://dx.doi.org/10.1111/j.1553-2712.2012.01349.x |
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author | Oveland, Nils Petter Sloth, Erik Andersen, Gratien Lossius, Hans Morten |
author_facet | Oveland, Nils Petter Sloth, Erik Andersen, Gratien Lossius, Hans Morten |
author_sort | Oveland, Nils Petter |
collection | PubMed |
description | Objectives: Ultrasound (US) is a sensitive diagnostic tool for detecting pneumothorax (PTX), but methods are needed to optimally teach this technique outside of direct patient care. In training and research settings, porcine PTX models are sometimes used, but the description of the PTX topography in these models is lacking. The study purpose was to define the distribution of air using the reference imaging standard computed tomography (CT), to see if pleural insufflation of air into a live anaesthetized pig truly imitates a PTX in an injured patient. Methods: A unilateral catheter was inserted into one pleural cavity of each of 20 pigs, and 500 mL of air was insufflated. After a complete thoracic CT scan, the anterior, lateral, medial, basal, apical, and posterior components of the PTXs were compared. The amount of air in each location was quantified by measuring the distance from the lung edge to the chest wall (LE-CW). A supine anteroposterior chest radiograph (CXR) was taken from each model and interpreted by a senior radiologist, and the image results were compared to CT. Results: All 20 hemithoraces with PTX were correctly identified by CT, while six remained occult after interpreting the CXRs. The PTXs were anterior (100%), lateral (95%), medial (80%), basal (60%), apical (45%), and posterior (15%). The major proportion of the insufflated 500-mL volume was found in the anterior, medial, and basal recesses. Conclusions: The authors found the distribution of the intrathoracic air to be similar between a porcine model and that to be expected in human trauma patients, all having predominantly anterior PTX topographies. In a training facility, the model is easy to set up and can be scanned by the participants multiple times. To acquire the necessary skills to perform thoracic US examinations for PTX, the porcine models could be useful. |
format | Online Article Text |
id | pubmed-3502747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-35027472012-11-26 A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics Oveland, Nils Petter Sloth, Erik Andersen, Gratien Lossius, Hans Morten Acad Emerg Med Original Articles Objectives: Ultrasound (US) is a sensitive diagnostic tool for detecting pneumothorax (PTX), but methods are needed to optimally teach this technique outside of direct patient care. In training and research settings, porcine PTX models are sometimes used, but the description of the PTX topography in these models is lacking. The study purpose was to define the distribution of air using the reference imaging standard computed tomography (CT), to see if pleural insufflation of air into a live anaesthetized pig truly imitates a PTX in an injured patient. Methods: A unilateral catheter was inserted into one pleural cavity of each of 20 pigs, and 500 mL of air was insufflated. After a complete thoracic CT scan, the anterior, lateral, medial, basal, apical, and posterior components of the PTXs were compared. The amount of air in each location was quantified by measuring the distance from the lung edge to the chest wall (LE-CW). A supine anteroposterior chest radiograph (CXR) was taken from each model and interpreted by a senior radiologist, and the image results were compared to CT. Results: All 20 hemithoraces with PTX were correctly identified by CT, while six remained occult after interpreting the CXRs. The PTXs were anterior (100%), lateral (95%), medial (80%), basal (60%), apical (45%), and posterior (15%). The major proportion of the insufflated 500-mL volume was found in the anterior, medial, and basal recesses. Conclusions: The authors found the distribution of the intrathoracic air to be similar between a porcine model and that to be expected in human trauma patients, all having predominantly anterior PTX topographies. In a training facility, the model is easy to set up and can be scanned by the participants multiple times. To acquire the necessary skills to perform thoracic US examinations for PTX, the porcine models could be useful. Blackwell Publishing Ltd 2012-05 2012-05-17 /pmc/articles/PMC3502747/ /pubmed/22594363 http://dx.doi.org/10.1111/j.1553-2712.2012.01349.x Text en © 2012 by the Society for Academic Emergency Medicine http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Original Articles Oveland, Nils Petter Sloth, Erik Andersen, Gratien Lossius, Hans Morten A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title | A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title_full | A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title_fullStr | A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title_full_unstemmed | A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title_short | A Porcine Pneumothorax Model for Teaching Ultrasound Diagnostics |
title_sort | porcine pneumothorax model for teaching ultrasound diagnostics |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502747/ https://www.ncbi.nlm.nih.gov/pubmed/22594363 http://dx.doi.org/10.1111/j.1553-2712.2012.01349.x |
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