ArticleClinical neuroradiology2024
Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging.
Article in Clinical neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Technical aspects and clinical applications of synthetic MRI: a scoping review.Diagnosis (Berlin, Germany) · 2025Article
- Decoding Brain Development and Aging: Pioneering Insights From MRI Techniques.Investigative radiology · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
25 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeAutomated methods for quantifying brain tissue volumes have gained clinical interest for their objective assessment of neurological diseases. This study aimed to establish reference curves for brain volumes and fractions in the Indian population using Synthetic MRI (SyMRI), a quantitative imaging technique providing multiple contrast-weighted images through fast postprocessing.
methodsThe study included a cohort of 314 healthy individuals aged 15-65 years from multiple hospitals/centers across India. The SyMRI-quantified brain volumes and fractions, including brain parenchymal fraction (BPF), gray matter fraction (GMF), white matter fraction (WMF), and myelin.
resultsNormative age-stratified quantification curves were created based on the obtained data. The results showed significant differences in brain volumes between the sexes, but not after normalization by intracranial volume.
conclusionThe findings provide normative data for the Indian population and can be used for comparative analysis of brain structure values. Furthermore, our data indicate that the use of fractions rather than absolute volumes in normative curves, such as BPF, GMF, and WMF, can mitigate sex and population differences as they account for individual differences in head size or brain volume.
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