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Prognostic Validation of the NINDS Common Data Elements for the Radiologic Reporting of Acute Traumatic Brain Injuries: A CENTER-TBI Study.
Department of Radiology, University Hospital and University of Antwerp, Antwerp, Belgium; cometrix, Research and Development, Leuven, Belgium.
Icometrix, Research and Development, Leuven, Belgium.
Icometrix, Research and Development, Leuven, Belgium; Department of Radiology, University Hospital Leuven and Catholic University of Leuven, Leuven, Belgium.
Center for Medical Decision Making, Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
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2020 (English)In: Journal of Neurotrauma, ISSN 0897-7151, E-ISSN 1557-9042, Vol. 37, no 11, p. 1269-1282Article in journal (Refereed) Published
Abstract [en]

The aim of this study is to investigate the prognostic value of using the National Institute of Neurological Disorders and Stroke (NINDS) standardized imaging-based pathoanatomic descriptors for the evaluation and reporting of acute traumatic brain injury (TBI) lesions. For a total of 3392 patients (2244 males and 1148 females, median age = 51 years) enrolled in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we extracted 96 Common Data Elements (CDEs) from the structured reports, spanning all three levels of pathoanatomic information (i.e., 20 "basic," 60 "descriptive," and 16 "advanced" CDE variables per patient). Six-month clinical outcome scores were dichotomized into favorable (Glasgow Outcome Scale Extended [GOS-E] = 5-8) versus unfavorable (GOS-E = 1-4). Regularized logistic regression models were constructed and compared using the optimism-corrected area under the curve (AUC). An abnormality was reported for the majority of patients (64.51%). In 79.11% of those patients, there was at least one coexisting pathoanatomic lesion or associated finding. An increase in lesion severity, laterality, and volume was associated with more unfavorable outcomes. Compared with the full set of pathoanatomic descriptors (i.e., all three categories of information), reporting "basic" CDE information provides at least equal discrimination between patients with favorable versus unfavorable outcome (AUC = 0.8121 vs. 0.8155, respectively). Addition of a selected subset of "descriptive" detail to the basic CDEs could improve outcome prediction (AUC = 0.8248). Addition of "advanced" or "emerging/exploratory" information had minimal prognostic value. Our results show that the NINDS standardized-imaging based pathoanatomic descriptors can be used in large-scale studies and provide important insights into acute TBI lesion patterns. When used in clinical predictive models, they can provide excellent discrimination between patients with favorable and unfavorable 6-month outcomes. If further validated, our findings could support the development of structured and itemized templates in routine clinical radiology.

Place, publisher, year, edition, pages
Mary Ann Liebert, 2020. Vol. 37, no 11, p. 1269-1282
Keywords [en]
Common Data Elements, computed tomography, structured reporting, traumatic brain injury
National Category
Neurology
Identifiers
URN: urn:nbn:se:oru:diva-80216DOI: 10.1089/neu.2019.6710ISI: 000517891700001PubMedID: 31813313Scopus ID: 2-s2.0-85085715079OAI: oai:DiVA.org:oru-80216DiVA, id: diva2:1397012
Note

Funding Agencies:

Hannelore Kohl Foundation (Germany)  

One Mind 

Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2020-12-18Bibliographically approved

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Oresic, Matej

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