Quantification of Cerebral Edema After Subarachnoid Hemorrhage

Background Global cerebral edema (GCE) is a manifestation of early brain injury (EBI) after subarachnoid hemorrhage (SAH) and is an independent risk factor for poor outcome. The lack of a quantitative method to measure GCE limits the study of its pathophysiology. The goal of this study is to develop...

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Published inNeurocritical care Vol. 25; no. 1; pp. 64 - 70
Main Authors Choi, H. Alex, Bajgur, Suhas S., Jones, Wesley H., Savarraj, Jude P. J., Ko, Sang-Bae, Edwards, Nancy J., Chang, Tiffany R., Hergenroeder, Georgene W., Dannenbaum, Mark J., Chen, P. Roc, Day, Arthur L., Kim, Dong H., Lee, Kiwon, Grotta, James C.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.08.2016
Springer Nature B.V
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ISSN1541-6933
1556-0961
1556-0961
DOI10.1007/s12028-015-0229-3

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Summary:Background Global cerebral edema (GCE) is a manifestation of early brain injury (EBI) after subarachnoid hemorrhage (SAH) and is an independent risk factor for poor outcome. The lack of a quantitative method to measure GCE limits the study of its pathophysiology. The goal of this study is to develop a quantitative surrogate marker that represents GCE after SAH. Methods Patients with spontaneous SAH were enrolled into a prospective observational database. Initial CT scans were graded for GCE using established qualitative criteria. Selective sulcal volume (SSV) was defined as total mL of sulcal volumes on axial CT slices above the most cranial section of the lateral ventricles to the last visible section. Using a semiautomatic threshold approach, sulcal regions were traced out with manual adjustments when necessary. The volume of sulci in each slice was calculated and multiplied by the slice thickness and number of slices to calculate the SSV. All volumetric analysis was performed using Medical Image Processing, Analysis and Visualization Version 7.0.1 (MIPAV). Results A total of 109 subjects were included in our analysis. Mean selective sulcal volumes (SSV) differed between subjects with and without GCE 4.5 and 21.2 mL ( P  < 0.001). When separated into quartiles, the odds of qualitative GCE increases as SSV decreases. Compared to the highest SSV quartile, smaller SSV was associated with worse clinical outcomes. Conclusion GCE can be quantified using volumetric analysis of SSV measurements on routine CT scans. Smaller SSV on admission is predictive of worse clinical outcomes. SSV may be an important marker of EBI after SAH.
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ISSN:1541-6933
1556-0961
1556-0961
DOI:10.1007/s12028-015-0229-3