Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/6194
Title: The volume fraction of brain ventricles to total brain volume: A computed tomography stereological study
Authors: Akdoğan, Ilgaz
Kıroğlu, Yılmaz
Onur, Şule
Karabulut, Nevzat
Keywords: Brain ventricles
Brain volume
Cavalieri method
Stereology
Volume fraction
adolescent
adult
aging
Alzheimer disease
article
brain
brain ventricle
brain ventriculography
computer assisted tomography
female
histology
human
hydrocephalus
male
middle aged
organ size
pathology
radiography
schizophrenia
sexual development
Adolescent
Adult
Aging
Alzheimer Disease
Brain
Cerebral Ventricles
Cerebral Ventriculography
Female
Humans
Hydrocephalus
Male
Middle Aged
Organ Size
Schizophrenia
Sex Characteristics
Tomography, X-Ray Computed
Young Adult
Abstract: This study has been designed to estimate the volume fraction of the brain ventricles volume to total brain volume and to correlate them with gender and age in normal subjects. Cranial computed tomography (CT) images of 80 normally evaluated subjects (five female and five male for each decade) were selected from 1,073 CT examinations. The volumes of total brain, cerebral aqueduct, fourth, third, and lateral ventricles and their ratios were estimated using the Cavalieri method and volume fraction-stereological methods. The ratio of total brain ventricle volume to total brain volume was comparable between the two genders (p > 0.05, independent t test). Mean volume fraction of total ventricle volume to total brain volume was found to be 1.21% in the first and 3.37% in the last decades. Mean volume fraction was found to increase significantly with age (p < 0.01, r = 0.630, Pearson). In conclusion, the mean percentage of total ventricle volume within the total brain volume was found to be 2%. We demonstrated the volume fraction of total ventricle to total brain in normal subjects. Total ventricle volume to total brain volume fractions can be important tools in determining ventricle volumes, which denote variability in some diseases (Alzheimer, schizophrenia, neurodegenerative disorders, etc.) and can be estimated by stereological methods. Copyright © 2010 Via Medica.
URI: https://hdl.handle.net/11499/6194
ISSN: 0015-5659
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tıp Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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