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Enhanced pneumothorax visualization in ICU patients using portable chest radiography
by
Karimzad, Yasser
, Menezes, Ravi
, Ley-Zaporozhan, Julia
, Odedra, Devang
, Zelovitzky, Leon
, Paul, Narinder S.
, Shoushtari, Hassan
, Jimenez-Juan, Laura
, Brunet, Karyn
in
Algorithms
/ Biology and Life Sciences
/ Care and treatment
/ Chest
/ Complexity
/ Computer and Information Sciences
/ Computer programs
/ Critical care
/ Emergency medical care
/ Engineering and Technology
/ Health care networks
/ Health sciences
/ Hospitals
/ Humans
/ Image detection
/ Intensive care
/ Intensive care units
/ Intensive Care Units - statistics & numerical data
/ Medical imaging
/ Medicine and Health Sciences
/ Obesity
/ Patients
/ People and Places
/ Physical Sciences
/ Pneumothorax
/ Portability
/ Quality
/ Radiographic Image Enhancement - methods
/ Radiographs
/ Radiography
/ Radiography, Thoracic - methods
/ Readers
/ Research and Analysis Methods
/ Services
/ Software
/ Systematic review
/ Thorax - diagnostic imaging
/ X-rays
2018
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Enhanced pneumothorax visualization in ICU patients using portable chest radiography
by
Karimzad, Yasser
, Menezes, Ravi
, Ley-Zaporozhan, Julia
, Odedra, Devang
, Zelovitzky, Leon
, Paul, Narinder S.
, Shoushtari, Hassan
, Jimenez-Juan, Laura
, Brunet, Karyn
in
Algorithms
/ Biology and Life Sciences
/ Care and treatment
/ Chest
/ Complexity
/ Computer and Information Sciences
/ Computer programs
/ Critical care
/ Emergency medical care
/ Engineering and Technology
/ Health care networks
/ Health sciences
/ Hospitals
/ Humans
/ Image detection
/ Intensive care
/ Intensive care units
/ Intensive Care Units - statistics & numerical data
/ Medical imaging
/ Medicine and Health Sciences
/ Obesity
/ Patients
/ People and Places
/ Physical Sciences
/ Pneumothorax
/ Portability
/ Quality
/ Radiographic Image Enhancement - methods
/ Radiographs
/ Radiography
/ Radiography, Thoracic - methods
/ Readers
/ Research and Analysis Methods
/ Services
/ Software
/ Systematic review
/ Thorax - diagnostic imaging
/ X-rays
2018
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Enhanced pneumothorax visualization in ICU patients using portable chest radiography
by
Karimzad, Yasser
, Menezes, Ravi
, Ley-Zaporozhan, Julia
, Odedra, Devang
, Zelovitzky, Leon
, Paul, Narinder S.
, Shoushtari, Hassan
, Jimenez-Juan, Laura
, Brunet, Karyn
in
Algorithms
/ Biology and Life Sciences
/ Care and treatment
/ Chest
/ Complexity
/ Computer and Information Sciences
/ Computer programs
/ Critical care
/ Emergency medical care
/ Engineering and Technology
/ Health care networks
/ Health sciences
/ Hospitals
/ Humans
/ Image detection
/ Intensive care
/ Intensive care units
/ Intensive Care Units - statistics & numerical data
/ Medical imaging
/ Medicine and Health Sciences
/ Obesity
/ Patients
/ People and Places
/ Physical Sciences
/ Pneumothorax
/ Portability
/ Quality
/ Radiographic Image Enhancement - methods
/ Radiographs
/ Radiography
/ Radiography, Thoracic - methods
/ Readers
/ Research and Analysis Methods
/ Services
/ Software
/ Systematic review
/ Thorax - diagnostic imaging
/ X-rays
2018
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Enhanced pneumothorax visualization in ICU patients using portable chest radiography
Journal Article
Enhanced pneumothorax visualization in ICU patients using portable chest radiography
2018
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Overview
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.
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.
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.
Pneumothorax detection improves with novel enhancement software; the largest improvement is seen in less experienced readers.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Chest
/ Computer and Information Sciences
/ Humans
/ Intensive Care Units - statistics & numerical data
/ Medicine and Health Sciences
/ Obesity
/ Patients
/ Quality
/ Radiographic Image Enhancement - methods
/ Radiography, Thoracic - methods
/ Readers
/ Research and Analysis Methods
/ Services
/ Software
/ X-rays
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