Intracranial Volumes of Healthy Children in the First 3 Years of Life: An Analysis of 270 Magnetic Resonance Imaging Scans.


Journal

Plastic and reconstructive surgery
ISSN: 1529-4242
Titre abrégé: Plast Reconstr Surg
Pays: United States
ID NLM: 1306050

Informations de publication

Date de publication:
01 07 2022
Historique:
pubmed: 17 5 2022
medline: 2 7 2022
entrez: 16 5 2022
Statut: ppublish

Résumé

There is a paucity of data on normal intracranial volumes for healthy children during the first few years of life, when cranial growth velocity is greatest. The aim of this study was to generate a normative predictive model of intracranial volumes based on brain magnetic resonance imaging from a large sample of healthy children to serve as a reference tool for future studies on craniosynostosis. Structural magnetic resonance imaging data for healthy children up to 3 years of age was acquired from the National Institutes of Health Pediatric MRI Data Repository. Intracranial volumes were calculated using T1-weighted scans with FreeSurfer (version 6.0.0). Mean intracranial volumes were calculated and best-fit logarithmic curves were generated. Results were compared to previously published intracranial volume curves. Two-hundred seventy magnetic resonance imaging scans were available: 118 were collected in the first year of life, 97 were collected between years 1 and 2, and 55 were collected between years 2 and 3. A best-fit logarithmic growth curve was generated for male and female patients. The authors' regression models showed that male patients had significantly greater intracranial volumes than female patients after 1 month of age. Predicted intracranial volumes were also greater in male and female patients in the first 6 months of life as compared to previously published intracranial volume curves. To the authors' knowledge, this is the largest series of demographically representative magnetic resonance imaging-based intracranial volumes for children aged 3 years and younger. The model generated in this study can be used by investigators as a reference for evaluating craniosynostosis patients.

Sections du résumé

BACKGROUND
There is a paucity of data on normal intracranial volumes for healthy children during the first few years of life, when cranial growth velocity is greatest. The aim of this study was to generate a normative predictive model of intracranial volumes based on brain magnetic resonance imaging from a large sample of healthy children to serve as a reference tool for future studies on craniosynostosis.
METHODS
Structural magnetic resonance imaging data for healthy children up to 3 years of age was acquired from the National Institutes of Health Pediatric MRI Data Repository. Intracranial volumes were calculated using T1-weighted scans with FreeSurfer (version 6.0.0). Mean intracranial volumes were calculated and best-fit logarithmic curves were generated. Results were compared to previously published intracranial volume curves.
RESULTS
Two-hundred seventy magnetic resonance imaging scans were available: 118 were collected in the first year of life, 97 were collected between years 1 and 2, and 55 were collected between years 2 and 3. A best-fit logarithmic growth curve was generated for male and female patients. The authors' regression models showed that male patients had significantly greater intracranial volumes than female patients after 1 month of age. Predicted intracranial volumes were also greater in male and female patients in the first 6 months of life as compared to previously published intracranial volume curves.
CONCLUSIONS
To the authors' knowledge, this is the largest series of demographically representative magnetic resonance imaging-based intracranial volumes for children aged 3 years and younger. The model generated in this study can be used by investigators as a reference for evaluating craniosynostosis patients.

Identifiants

pubmed: 35575631
doi: 10.1097/PRS.0000000000009188
pii: 00006534-202207000-00030
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136e-144e

Informations de copyright

Copyright © 2022 by the American Society of Plastic Surgeons.

Déclaration de conflit d'intérêts

Disclosure : No authors have any financial conflicts of interest to disclose .

Références

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Auteurs

Michael G Brandel (MG)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

George N Kamel (GN)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Kristine Carbulido (K)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Caitlyn Belza (C)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Rishi Modi (R)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Ryan McKee (R)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Brendan J Cronin (BJ)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Emily Ewing (E)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Samuel H Lance (SH)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

Amanda A Gosman (AA)

From the Department of Neurosurgery, Division of Plastic Surgery, and School of Medicine, University of California, San Diego; and Rady Children's Hospital.

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