Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies

The objective of this study was to determine the accuracy of individual radiologists in detection of vascular injury in patients after penetrating brain injury (PBI) based on head CT findings at admission. We retrospectively evaluated 54 PBI patients who underwent admission head CT and digital subtr...

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Main Authors: Uttam K. Bodanapally, Jaroslaw Krejza, Nitima Saksobhavivat, Paul M. Jaffray, Clint W. Sliker, Lisa A. Miller, Kathirkamanathan Shanmuganathan, David Dreizin
Other Authors: University of Maryland R Adams Cowley Shock Trauma Center
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Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/34630
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spelling th-mahidol.346302018-11-09T09:54:03Z Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies Uttam K. Bodanapally Jaroslaw Krejza Nitima Saksobhavivat Paul M. Jaffray Clint W. Sliker Lisa A. Miller Kathirkamanathan Shanmuganathan David Dreizin University of Maryland R Adams Cowley Shock Trauma Center Mahidol University Medicine The objective of this study was to determine the accuracy of individual radiologists in detection of vascular injury in patients after penetrating brain injury (PBI) based on head CT findings at admission. We retrospectively evaluated 54 PBI patients who underwent admission head CT and digital subtraction angiography (DSA), used here as a reference standard. Two readers reviewed the CT images to determine the presence or absence of the 29 CT variables of injury profile and quantified selected variables. Four experienced trauma radiologists and one neuroradiologist assigned their own specific scores for each CT variable, a high score indicative of a high probability of artery injury. A sixth set consisted of the average score obtained from the five sets, generated by five experts. Receiver operating characteristic (ROC) curves were constructed for each set to assess the diagnostic performance of an individual radiologist in predicting an underlying vascular injury. The area under ROC curve (AUC) was higher for CT scores obtained from the sixth set (average of five sets of scores) of variable rank score 0.75 (95% CI 0.62-0.88) and for the rest of the data sets, the value ranged from 0.70 (95% CI 0.56-0.84) to 0.74 (95% CI 0.6-0.88). In conclusion, radiologists may be able to recommend DSA with a fair accuracy rate in selected patients, deemed 'high-risk' for developing intracranial vascular injuries after PBI based on admission CT studies. A better approach needs to be developed to reduce the false positive rate to avoid unnecessary emergency DSA. 2018-11-09T02:54:03Z 2018-11-09T02:54:03Z 2014-01-01 Article Neuroradiology Journal. Vol.27, No.2 (2014), 138-145 10.15274/NRJ-2014-10024 19714009 2-s2.0-84901843343 https://repository.li.mahidol.ac.th/handle/123456789/34630 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901843343&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Uttam K. Bodanapally
Jaroslaw Krejza
Nitima Saksobhavivat
Paul M. Jaffray
Clint W. Sliker
Lisa A. Miller
Kathirkamanathan Shanmuganathan
David Dreizin
Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
description The objective of this study was to determine the accuracy of individual radiologists in detection of vascular injury in patients after penetrating brain injury (PBI) based on head CT findings at admission. We retrospectively evaluated 54 PBI patients who underwent admission head CT and digital subtraction angiography (DSA), used here as a reference standard. Two readers reviewed the CT images to determine the presence or absence of the 29 CT variables of injury profile and quantified selected variables. Four experienced trauma radiologists and one neuroradiologist assigned their own specific scores for each CT variable, a high score indicative of a high probability of artery injury. A sixth set consisted of the average score obtained from the five sets, generated by five experts. Receiver operating characteristic (ROC) curves were constructed for each set to assess the diagnostic performance of an individual radiologist in predicting an underlying vascular injury. The area under ROC curve (AUC) was higher for CT scores obtained from the sixth set (average of five sets of scores) of variable rank score 0.75 (95% CI 0.62-0.88) and for the rest of the data sets, the value ranged from 0.70 (95% CI 0.56-0.84) to 0.74 (95% CI 0.6-0.88). In conclusion, radiologists may be able to recommend DSA with a fair accuracy rate in selected patients, deemed 'high-risk' for developing intracranial vascular injuries after PBI based on admission CT studies. A better approach needs to be developed to reduce the false positive rate to avoid unnecessary emergency DSA.
author2 University of Maryland R Adams Cowley Shock Trauma Center
author_facet University of Maryland R Adams Cowley Shock Trauma Center
Uttam K. Bodanapally
Jaroslaw Krejza
Nitima Saksobhavivat
Paul M. Jaffray
Clint W. Sliker
Lisa A. Miller
Kathirkamanathan Shanmuganathan
David Dreizin
format Article
author Uttam K. Bodanapally
Jaroslaw Krejza
Nitima Saksobhavivat
Paul M. Jaffray
Clint W. Sliker
Lisa A. Miller
Kathirkamanathan Shanmuganathan
David Dreizin
author_sort Uttam K. Bodanapally
title Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
title_short Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
title_full Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
title_fullStr Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
title_full_unstemmed Predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency CT studies
title_sort predicting arterial injuries after penetrating brain trauma based on scoring signs from emergency ct studies
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/34630
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