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The characterization of surgical smoke from various tissues and its implications for occupational safety
Electrosurgery produces surgical smoke. Different tissues produce different quantities and types of smoke, so we studied the particle characteristics of this surgical smoke in order to analyze the implications for the occupational health of the operation room personnel. We estimated the deposition o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896939/ https://www.ncbi.nlm.nih.gov/pubmed/29649244 http://dx.doi.org/10.1371/journal.pone.0195274 |
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author | Karjalainen, Markus Kontunen, Anton Saari, Sampo Rönkkö, Topi Lekkala, Jukka Roine, Antti Oksala, Niku |
author_facet | Karjalainen, Markus Kontunen, Anton Saari, Sampo Rönkkö, Topi Lekkala, Jukka Roine, Antti Oksala, Niku |
author_sort | Karjalainen, Markus |
collection | PubMed |
description | Electrosurgery produces surgical smoke. Different tissues produce different quantities and types of smoke, so we studied the particle characteristics of this surgical smoke in order to analyze the implications for the occupational health of the operation room personnel. We estimated the deposition of particulate matter (PM) from surgical smoke on the respiratory tract of operation room personnel using clinically relevant tissues from Finnish landrace porcine tissues including skeletal muscle, liver, subcutaneous fat, renal pelvis, renal cortex, lung, bronchus, cerebral gray and white matter, and skin. In order to standardize the electrosurgical cuts and smoke concentrations, we built a customized computer-controlled platform. The smoke particles were analyzed with an electrical low pressure impactor (ELPI), which measures the concentration and aerodynamic size distribution of particles with a diameter between 7 nm and 10 μm. There were significant differences in the mass concentration and size distribution of the surgical smoke particles depending on the electrocauterized tissue. Of the various tissues tested, liver yielded the highest number of particles. In order to better estimate the health hazard, we propose that the tissues can be divided into three distinct classes according to their surgical smoke production: 1) high-PM tissue for liver; 2) medium-PM tissues for renal cortex, renal pelvis, and skeletal muscle; and 3) low-PM tissues for skin, gray matter, white matter, bronchus, and subcutaneous fat. |
format | Online Article Text |
id | pubmed-5896939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58969392018-05-04 The characterization of surgical smoke from various tissues and its implications for occupational safety Karjalainen, Markus Kontunen, Anton Saari, Sampo Rönkkö, Topi Lekkala, Jukka Roine, Antti Oksala, Niku PLoS One Research Article Electrosurgery produces surgical smoke. Different tissues produce different quantities and types of smoke, so we studied the particle characteristics of this surgical smoke in order to analyze the implications for the occupational health of the operation room personnel. We estimated the deposition of particulate matter (PM) from surgical smoke on the respiratory tract of operation room personnel using clinically relevant tissues from Finnish landrace porcine tissues including skeletal muscle, liver, subcutaneous fat, renal pelvis, renal cortex, lung, bronchus, cerebral gray and white matter, and skin. In order to standardize the electrosurgical cuts and smoke concentrations, we built a customized computer-controlled platform. The smoke particles were analyzed with an electrical low pressure impactor (ELPI), which measures the concentration and aerodynamic size distribution of particles with a diameter between 7 nm and 10 μm. There were significant differences in the mass concentration and size distribution of the surgical smoke particles depending on the electrocauterized tissue. Of the various tissues tested, liver yielded the highest number of particles. In order to better estimate the health hazard, we propose that the tissues can be divided into three distinct classes according to their surgical smoke production: 1) high-PM tissue for liver; 2) medium-PM tissues for renal cortex, renal pelvis, and skeletal muscle; and 3) low-PM tissues for skin, gray matter, white matter, bronchus, and subcutaneous fat. Public Library of Science 2018-04-12 /pmc/articles/PMC5896939/ /pubmed/29649244 http://dx.doi.org/10.1371/journal.pone.0195274 Text en © 2018 Karjalainen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Karjalainen, Markus Kontunen, Anton Saari, Sampo Rönkkö, Topi Lekkala, Jukka Roine, Antti Oksala, Niku The characterization of surgical smoke from various tissues and its implications for occupational safety |
title | The characterization of surgical smoke from various tissues and its implications for occupational safety |
title_full | The characterization of surgical smoke from various tissues and its implications for occupational safety |
title_fullStr | The characterization of surgical smoke from various tissues and its implications for occupational safety |
title_full_unstemmed | The characterization of surgical smoke from various tissues and its implications for occupational safety |
title_short | The characterization of surgical smoke from various tissues and its implications for occupational safety |
title_sort | characterization of surgical smoke from various tissues and its implications for occupational safety |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896939/ https://www.ncbi.nlm.nih.gov/pubmed/29649244 http://dx.doi.org/10.1371/journal.pone.0195274 |
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