Enhanced pneumothorax visualization in ICU patients using portable chest radiography.
OBJECTIVE:Pneumothorax development can cause precipitous deterioration in ICU patients, therefore quick and accurate detection is vital. Portable chest radiography is commonly performed to exclude pneumothoraces but is hampered by supine patient position and overlying internal and external material....
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0209770 |
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author | Julia Ley-Zaporozhan Hassan Shoushtari Ravi Menezes Leon Zelovitzky Devang Odedra Laura Jimenez-Juan Karyn Brunet Yasser Karimzad Narinder S Paul |
author_facet | Julia Ley-Zaporozhan Hassan Shoushtari Ravi Menezes Leon Zelovitzky Devang Odedra Laura Jimenez-Juan Karyn Brunet Yasser Karimzad Narinder S Paul |
author_sort | Julia Ley-Zaporozhan |
collection | DOAJ |
description | OBJECTIVE:Pneumothorax development can cause precipitous deterioration in ICU patients, therefore quick and accurate detection is vital. Portable chest radiography is commonly performed to exclude pneumothoraces but is hampered by supine patient position and overlying internal and external material. Also, the initial evaluation of the chest radiograph may be performed by a relatively inexperienced physician. Therefore, a tool that could significantly improve pneumothorax detection on portable radiography would be helpful in patient care. The aim of this study was to evaluate the clinical utility of novel enhancement software for pneumothorax detection in readers with varied clinical experience of detecting/excluding pneumothoraces on portable chest radiographs in ICU patients. SUBJECTS AND METHODS:206 portable ICU chest radiographs, 103 with pneumothoraces, were processed with and without enhancement software and reviewed by 5 readers who varied in reading experience. Images were grouped for different complexity levels. RESULTS:The mean AUC for pneumothorax detection increased for 4/5 readers from 0.846-0.957 to 0.88-0.971 with a largest improvement for the reader with least experience. No significant change was noted for the reader with the longest reading experience. The image complexity had no impact on the interpretation result. CONCLUSION:Pneumothorax detection improves with novel enhancement software; the largest improvement is seen in less experienced readers. |
first_indexed | 2024-12-18T23:53:17Z |
format | Article |
id | doaj.art-cb4e7bee09254b3cad37d13fdc46163b |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-18T23:53:17Z |
publishDate | 2018-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-cb4e7bee09254b3cad37d13fdc46163b2022-12-21T20:46:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011312e020977010.1371/journal.pone.0209770Enhanced pneumothorax visualization in ICU patients using portable chest radiography.Julia Ley-ZaporozhanHassan ShoushtariRavi MenezesLeon ZelovitzkyDevang OdedraLaura Jimenez-JuanKaryn BrunetYasser KarimzadNarinder S PaulOBJECTIVE:Pneumothorax development can cause precipitous deterioration in ICU patients, therefore quick and accurate detection is vital. Portable chest radiography is commonly performed to exclude pneumothoraces but is hampered by supine patient position and overlying internal and external material. Also, the initial evaluation of the chest radiograph may be performed by a relatively inexperienced physician. Therefore, a tool that could significantly improve pneumothorax detection on portable radiography would be helpful in patient care. The aim of this study was to evaluate the clinical utility of novel enhancement software for pneumothorax detection in readers with varied clinical experience of detecting/excluding pneumothoraces on portable chest radiographs in ICU patients. SUBJECTS AND METHODS:206 portable ICU chest radiographs, 103 with pneumothoraces, were processed with and without enhancement software and reviewed by 5 readers who varied in reading experience. Images were grouped for different complexity levels. RESULTS:The mean AUC for pneumothorax detection increased for 4/5 readers from 0.846-0.957 to 0.88-0.971 with a largest improvement for the reader with least experience. No significant change was noted for the reader with the longest reading experience. The image complexity had no impact on the interpretation result. CONCLUSION:Pneumothorax detection improves with novel enhancement software; the largest improvement is seen in less experienced readers.https://doi.org/10.1371/journal.pone.0209770 |
spellingShingle | Julia Ley-Zaporozhan Hassan Shoushtari Ravi Menezes Leon Zelovitzky Devang Odedra Laura Jimenez-Juan Karyn Brunet Yasser Karimzad Narinder S Paul Enhanced pneumothorax visualization in ICU patients using portable chest radiography. PLoS ONE |
title | Enhanced pneumothorax visualization in ICU patients using portable chest radiography. |
title_full | Enhanced pneumothorax visualization in ICU patients using portable chest radiography. |
title_fullStr | Enhanced pneumothorax visualization in ICU patients using portable chest radiography. |
title_full_unstemmed | Enhanced pneumothorax visualization in ICU patients using portable chest radiography. |
title_short | Enhanced pneumothorax visualization in ICU patients using portable chest radiography. |
title_sort | enhanced pneumothorax visualization in icu patients using portable chest radiography |
url | https://doi.org/10.1371/journal.pone.0209770 |
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