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Validation of the NeuroImaging Radiological Interpretation System for Acute Traumatic Brain Injury.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2019 Sep/Oct; Vol. 43 (5), pp. 690-696. - Publication Year :
- 2019
-
Abstract
- Purpose: The aim of the study was to refine and validate the NeuroImaging Radiological Interpretation System (NIRIS), which was developed to predict management and clinical outcome based on noncontrast head computerized tomography findings in patients suspected of acute traumatic brain injury (TBI).<br />Methods: We assessed the performance of the NIRIS score in a prospective, single-center cohort of patients suspected of TBI (n = 648) and compared the performance of NIRIS with that of the Marshall and Rotterdam scoring systems. We also revised components of the NIRIS scoring system using decision tree methodologies implemented on pooled data from the retrospective and prospective studies (N = 1190).<br />Results: The NIRIS performed similarly to the Marshall and Rotterdam scoring systems in predicting mortality and markedly better in terms of predicting more granular elements of disposition and management of TBI patients, such as admission, follow-up imaging, intensive care unit stay, and neurosurgical procedures. The revised NIRIS classification correctly predicted disposition and outcome in 91.2% (331/363) after excluding patients with other major extracranial traumatic injuries or intracranial nontraumatic injuries.<br />Conclusions: The present study further demonstrates the predictive value of NIRIS in guiding standardized clinical management and decision-making regarding treatment options for TBI patients.
- Subjects :
- Adult
Aged
Brain Injuries, Traumatic mortality
Brain Injuries, Traumatic therapy
Decision Making
Female
Humans
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Trauma Severity Indices
Brain Injuries, Traumatic diagnostic imaging
Neuroimaging methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1532-3145
- Volume :
- 43
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 31490891
- Full Text :
- https://doi.org/10.1097/RCT.0000000000000913