Establishment of Age and Gender Specific Reference Cerebral Ventricle Volumes.

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Abstract

The diagnosis of hydrocephalus is dependent on clinical symptoms and radiographic findings including ventriculomegaly. Our goal was to generate a data set of ventricular volume utilizing non pathologic CT scans for adults to help define reference ventricle size.The authors performed a retrospective analysis of non-contrast head CTs for adults at a single institution to identify subjects that had undergone imaging and did not have a diagnosis of hydrocephalus, history of VP shunting, or treatments for hydrocephalus. A convolutional neural network was trained on hand segmented scans from a variety of age ranges and then utilized to automate the segmentation of the entire data set.Ventricles on 866 CT scans were segmented to generate a reference range of volumes for both male and females ranging in age 18 – 99 years. The generated data were binned by age ranges.We have developed a convolutional neural network that can segment the ventricles on CT scans of adult patients over a range of ages. This network was used to measure the ventricular volume of non pathologic head CTs to produce reference ranges for several age bins. This dataset could be utilized to aid in the diagnosis of hydrocephalus by comparing potentially pathological scans to reference ventricular volumes.Copyright © 2023 Elsevier Inc. All rights reserved.