ArticleImaging neuroscience (Cambridge, Mass.)2024
A database of the healthy human spinal cord morphometry in the PAM50 template space.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Quantitative assessment of asymptomatic spinal cord compression using MRI: a multi-center study.GeroScience · 2025Article
- Magnetization transfer MRI (MT-MRI) detects white matter damage beyond the primary site of compression in degenerative cervical myelopathy using a novel semi-automated analysis.Computers in biology and medicine · 2025Article
- A Controlled Single-Centre Pilot Study to Evaluate the Effect of Prophylactic Surgery in Asymptomatic Degenerative Cervical Cord Compression.Global spine journal · 2025Article
- Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients.Neurosurgery practice · 2025Article
- Establishing Normative Values for Entire Spinal Cord Morphometrics in East Asian Young Adults.Korean journal of radiology · 2025Article
- Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Leveling up: along-level diffusion tensor imaging in the spinal cord of multiple sclerosis patients.Frontiers in neuroimaging · 2025Article
- Cervical spinal cord morphometrics in degenerative cervical myelopathy: quantification using semi-automated normalized technique and correlation with neurological dysfunctions.The spine journal : official journal of the North American Spine Society · 2024Article
- Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Evidence-based commentary on the diagnosis, management, and further research of degenerative cervical spinal cord compression in the absence of clinical symptoms of myelopathy.Frontiers in neurology · 2024Review
- Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measures of spinal cord morphometry computed from magnetic resonance images serve as relevant prognostic biomarkers for a range of spinal cord pathologies, including traumatic and non-traumatic spinal cord injury and neurodegenerative diseases. However, interpreting these imaging biomarkers is difficult due to considerable intra- and inter-subject variability. Yet, there is no clear consensus on a normalization method that would help reduce this variability and more insights into the distribution of these morphometrics are needed. In this study, we computed a database of normative values for six commonly used measures of spinal cord morphometry: cross-sectional area, anteroposterior diameter, transverse diameter, compression ratio, eccentricity, and solidity. Normative values were computed from a large open-access dataset of healthy adult volunteers (N = 203) and were brought to the common space of the PAM50 spinal cord template using a newly proposed normalization method based on linear interpolation. Compared to traditional image-based registration, the proposed normalization approach does not involve image transformations and, therefore, does not introduce distortions of spinal cord anatomy. This is a crucial consideration in preserving the integrity of the spinal cord anatomy in conditions such as spinal cord injury. This new morphometric database allows researchers to normalize based on sex and age, thereby minimizing inter-subject variability associated with demographic and biological factors. The proposed methodology is open-source and accessible through the Spinal Cord Toolbox (SCT) v6.0 and higher.
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