ArticleAJNR. American journal of neuroradiology2021
Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.
Article in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Age and sex estimation using post-mortem CT scout view.International journal of legal medicine · 2026Article
- Hounsfield unit and gray-white matter ratio estimates in pediatric normal controls used in studies evaluating head computed tomography.Neuroimage. Reports · 2026Article
- Head CT: Toward Making Full Use of the Information the X-Rays Give.AJNR. American journal of neuroradiology · 2021Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeTogether with quantile regression methods, such a model would have the potential for clinical utility through automated quantitative comparison of individual cases relative to their age and gender-matched peer group. Our aim was to demonstrate the automated processing of digital clinical head CT data in the development of a clinically useful model of age-related changes of the brain in the first 2 decades of life. MATERIALS AND
methodsA total of 415 (209 female) consecutive, clinical head CTs with radiographically normal findings from patients from birth through 20 years of age were retrospectively selected and subjected to automated segmentation. Brain volume, brain parenchymal fraction, brain radiodensity, and brain radiomass were assessed as a function of patient age. Statistical modeling and quantile regression were performed.
resultsBrain volume increased from 400 cm
conclusionsAutomated segmentation of clinical head CT images permitted the generation of a reference database for quantitative analysis of pediatric and adolescent brains. Quantile regression facilitates clinical application.
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