Literature DB >> 29449277

Modeling Early Postnatal Brain Growth and Development with CT: Changes in the Brain Radiodensity Histogram from Birth to 2 Years.

K A Cauley1, Y Hu2, J Och3, P J Yorks3, S W Fielden4,5.   

Abstract

BACKGROUND AND
PURPOSE: The majority of brain growth and development occur in the first 2 years of life. This study investigated these changes by analysis of the brain radiodensity histogram of head CT scans from the clinical population, 0-2 years of age.
MATERIALS AND METHODS: One hundred twenty consecutive head CTs with normal findings meeting the inclusion criteria from children from birth to 2 years were retrospectively identified from 3 different CT scan platforms. Histogram analysis was performed on brain-extracted images, and histogram mean, mode, full width at half maximum, skewness, kurtosis, and SD were correlated with subject age. The effects of scan platform were investigated. Normative curves were fitted by polynomial regression analysis.
RESULTS: Average total brain volume was 360 cm3 at birth, 948 cm3 at 1 year, and 1072 cm3 at 2 years. Total brain tissue density showed an 11% increase in mean density at 1 year and 19% at 2 years. Brain radiodensity histogram skewness was positive at birth, declining logarithmically in the first 200 days of life. The histogram kurtosis also decreased in the first 200 days to approach a normal distribution. Direct segmentation of CT images showed that changes in brain radiodensity histogram skewness correlated with, and can be explained by, a relative increase in gray matter volume and an increase in gray and white matter tissue density that occurs during this period of brain maturation.
CONCLUSIONS: Normative metrics of the brain radiodensity histogram derived from routine clinical head CT images can be used to develop a model of normal brain development.
© 2018 by American Journal of Neuroradiology.

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Mesh:

Year:  2018        PMID: 29449277     DOI: 10.3174/ajnr.A5559

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  6 in total

1.  Aging and the Brain: A Quantitative Study of Clinical CT Images.

Authors:  K A Cauley; Y Hu; S W Fielden
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

Review 2.  Pitfalls in the interpretation of pediatric head CTs: what the emergency radiologist needs to know.

Authors:  Hannah Hodges; Katherine N Epstein; Michele Retrouvey; Sherry S Wang; Allyson A Richards; Dustin Lima; Jonathan W Revels
Journal:  Emerg Radiol       Date:  2022-04-08

3.  The effects of the skull on CT imaging of the brain: a skull and brain phantom study.

Authors:  Keith A Cauley; Patrick J Yorks; Sarah Flora; Samuel W Fielden
Journal:  Br J Radiol       Date:  2021-02-03       Impact factor: 3.039

4.  Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.

Authors:  K A Cauley; Y Hu; S W Fielden
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-10       Impact factor: 3.825

Review 5.  Head CT: Toward Making Full Use of the Information the X-Rays Give.

Authors:  K A Cauley; Y Hu; S W Fielden
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-17       Impact factor: 4.966

6.  Zika virus vertical transmission in interferon receptor1-antagonized Rag1-/- mice results in postnatal brain abnormalities and clinical disease.

Authors:  Clayton W Winkler; Chad S Clancy; Rebecca Rosenke; Karin E Peterson
Journal:  Acta Neuropathol Commun       Date:  2022-04-04       Impact factor: 7.801

  6 in total

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