| Quantitative CT improves outcome prediction in acute traumatic brain injury. | |
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MedLine Citation:
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PMID: 21970562 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The admission noncontrast head CT has been demonstrated to be one of several key early clinical and imaging features in the challenging problem of prediction of long-term outcome after acute traumatic brain injury (TBI). In this study, we employ two novel approaches to the problem of imaging classification and outcome prediction in acute TBI. First, we employ the novel technique of quantitative CT image analysis (qCT) to provide more objective, reproducible measures of the abnormal features of the admission head CT in acute TBI. We show that the incorporation of quantitative, rather than qualitative, CT features results in significant improvement in prediction of the 6-month GOS-E score over a wide spectrum of injury severity. Second, we employ principal components analysis (PCA) to demonstrate the interdependence of certain predictive variables. Relatively few prior studies of outcome prediction in acute TBI have used a multivariate approach that explicitly takes into account the potential covariance among clinical and CT predictive variables. We demonstrate that several predictors including midline shift, cistern effacement, subdural hematoma volume and GCS are related to one another. Rather than being independent features, their importance may be related to their status as surrogate measures of a more fundamental underlying clinical feature, such as the severity of intracranial mass effect. We believe that objective computational tools and data-driven analytical methods hold great promise for neurotrauma research and may ultimately have a role in image analysis for clinical care. |
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Authors:
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Esther Lim Yuh; Shelly R Cooper; Adam R Ferguson; Geoffrey T Manley |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-4 |
Journal Detail:
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Title: Journal of neurotrauma Volume: - ISSN: 1557-9042 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-5 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8811626 Medline TA: J Neurotrauma Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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University of California, San Francisco, Radiology, San Francisco, California, United States; esther.yuh@ucsf.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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