“Nomogram For Corpus Callosum in Indian Pediatric Population”

Background:The corpus callosum (CC) is the largest commissure in the brain, facilitating interhemispheric communication and coordination. Despite its critical role, there is limited reference biometric data for the CC in the Indian pediatric population. This study aims to establish a nomogram for the CC based on magnetic resonance imaging (MRI) in Indian children. Methodology:This retrospective observational study was conducted at Bharati Vidyapeeth Deemed University Medical College and Hospital, Pune, using MRI data from 607 pediatric patients aged 1 day to 15 years, collected between 2017 and 2021. Inclusion criteria encompassed children with normal MRI scans, while cases with intracranial abnormalities or contraindications for MRI were excluded. Biometric parameters such as the anteroposterior diameter (APD), true length (LCC), and thickness of the genu (GT), body (BT), isthmus (IT), and splenium (ST) of the CC were measured. Statistical analysis determined median, 3rd and 97th percentiles across age groups. Results:The study included 363 males and 244 females, with participants categorized into 16 age groups. Rapid growth in CC dimensions was observed in early childhood, stabilizing in adolescence. The APD and LCC showed progressive increases with age, reflecting significant developmental milestones. The GT, BT, IT, and ST also exhibited growth trends, with rapid increases during the first year of life and slower progression thereafter. Gender did not significantly affect CC biometry. Conclusion:This study provides normative biometric data for the CC in Indian pediatric populations, offering a reliable reference for clinical and research purposes. The established nomogram enables the identification of deviations associated with various neurodevelopmental and neuropsychiatric conditions.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-31
DOI
https://doi.org/10.53555/ajbr.v27i4s.6850
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
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article

“Nomogram For Corpus Callosum in Indian Pediatric Population”

Shriyash Bapurao Pinglikar
African Journal of Biomedical Research
Fetal and Pediatric Neurological Disorders
article

“Nomogram For Corpus Callosum in Indian Pediatric Population”

Shriyash Bapurao Pinglikar
article en

Abstract

Background:The corpus callosum (CC) is the largest commissure in the brain, facilitating interhemispheric communication and coordination. Despite its critical role, there is limited reference biometric data for the CC in the Indian pediatric population. This study aims to establish a nomogram for the CC based on magnetic resonance imaging (MRI) in Indian children. Methodology:This retrospective observational study was conducted at Bharati Vidyapeeth Deemed University Medical College and Hospital, Pune, using MRI data from 607 pediatric patients aged 1 day to 15 years, collected between 2017 and 2021. Inclusion criteria encompassed children with normal MRI scans, while cases with intracranial abnormalities or contraindications for MRI were excluded. Biometric parameters such as the anteroposterior diameter (APD), true length (LCC), and thickness of the genu (GT), body (BT), isthmus (IT), and splenium (ST) of the CC were measured. Statistical analysis determined median, 3rd and 97th percentiles across age groups. Results:The study included 363 males and 244 females, with participants categorized into 16 age groups. Rapid growth in CC dimensions was observed in early childhood, stabilizing in adolescence. The APD and LCC showed progressive increases with age, reflecting significant developmental milestones. The GT, BT, IT, and ST also exhibited growth trends, with rapid increases during the first year of life and slower progression thereafter. Gender did not significantly affect CC biometry. Conclusion:This study provides normative biometric data for the CC in Indian pediatric populations, offering a reliable reference for clinical and research purposes. The established nomogram enables the identification of deviations associated with various neurodevelopmental and neuropsychiatric conditions.

African Journal of Biomedical Research
Openalex Percentile: Top 59%
Fetal and Pediatric Neurological Disorders
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