• World Neurosurg · Dec 2017

    The volume of the third ventricle as a prognostic marker for shunt dependency after aneurysmal subarachnoid hemorrhage.

    • Daniel Pinggera, Johannes Kerschbaumer, Ondra Petr, Martin Ortler, Claudius Thomé, and Christian F Freyschlag.
    • Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.
    • World Neurosurg. 2017 Dec 1; 108: 107-111.

    BackgroundHydrocephalus is a common sequelae of aneurysmal subarachnoid hemorrhage (aSAH). However, in daily routine it is difficult to predict a patient's need for ventricular shunt placement in the course of the disease.ObjectiveThe purpose of this study was to identify radiologic predictors for development of a shunt-dependent hydrocephalus after aSAH.MethodsA cohort of 217 patients with aSAH with adequate pretreatment computed tomography (CT) imaging was retrospectively reviewed. All variables, including demographic data, treatment, and initial CT imaging were gathered and grading was performed using Hunt and Hess, Graeb, LeRoux, and modified Fisher scores. Analysis of the radiographic parameters consisted of straight measurement and three-dimensional volumetry using manual segmentation. Univariate and multivariate statistical analyses were performed to identify predictive parameters.ResultsOf 217 patients, 36 (17.5%) required a ventricular shunt (VS). A receiver operating characteristic analysis between the volume of the third ventricle and shunt-dependent hydrocephalus showed a significant cutoff at a volume of 2.3 cm3 with a 4.3-fold higher risk for shunt dependency (P < 0.001). However, the treatment modality and classification according to the mentioned scores were not associated with the need for VS after aSAH. In univariate and multivariate analysis, the volume of the third ventricle on admission remained a significant prognostic marker for the need of a VS.ConclusionsOur data suggest that the volume of the third ventricle in the initial CT is a strong predictor for shunt dependency after aSAH.Copyright © 2017 Elsevier Inc. All rights reserved.

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