INTRODUCTION: Morphologic features of computed tomography (CT) scans of the brain can be used to estimate @entity428 ( @entity428 ) via an image-processing algorithm. Clinically, such estimations can be used to prognosticate outcomes and avoid placement of invasive intracranial monitors in certain @entity1 with severe @entity131 . Features on a CT scan that may correlate with measurements of low @entity428 are sought. METHODS: A measure is proposed that is a function of the distribution of cerebrospinal fluid (CSF) in and around the brain. In our method, we present an algorithm that semiautomatically segments brain parenchyma from CSF, and apply standard image processing calculations. The ratio of CSF volume to the size of the intracranial vault (ICV) or volume inside the skull, csfv /icvv is calculated and then plotted against the actual recorded @entity428 , yielding a relationship between the image features and @entity428 . RESULTS: We analyzed a total of 45 scans from 20 @entity1 with severe @entity131 ( @entity131 ). We showed that a ratio csfv /icvv > .034 correlates with an @entity428 < 20 mmHg (P = .0046). For csfv /icvv  <= .034, a distinction between low and high @entity428 cannot be effectively estimated by this univariate measure. CONCLUSION: This method permits a noninvasive means of identifying @entity1 who are low risk for having @entity428 ; by following Brain @entity130 Foundation guidelines strictly such a @entity1 may be subjected to an unnecessary, invasive procedure. This work is a promising pilot study that will need to be analyzed for a larger population.

Brain CT to Assess Intracranial Pressure in XXXX with @entity131 .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity131 :: ('MESH:D001930', 'Disease') :: ['TBI', 'traumatic brain injury'] @entity130 :: ('MESH:D014947', 'Disease') :: ['Trauma'] @entity428 :: ('MESH:D019586', 'Disease') :: ['ICP', 'intracranial pressure', 'elevated ICP']
@entity1 :: (9606,Species) :: ['Patients']
