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...
Saved in:
Main Authors: | , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
2018
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/34630 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
id |
th-mahidol.34630 |
---|---|
record_format |
dspace |
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 |
_version_ |
1763487686818004992 |