ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2020
Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Pooled it
- Spinal cord imaging in multiple sclerosis: from diagnosis to disease progression.Journal of neurology · 2026Review
- A lightweight method for regression-based normalization of the cross-sectional area for cervical spinal cord atrophy assessment.Medical & biological engineering & computing · 2026Article
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- High-Dose Pulse Glucocorticoid Treatment Prevents White Matter Spinal Cord Pseudoatrophy in Newly Diagnosed Multiple Sclerosis.Annals of neurology · 2025Article
- Spinal cord gray matter atrophy is associated with disability in spinal muscular atrophy.Journal of neurology · 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
- Optimization of cervical cord atrophy measurement using a real-world, multicentre dataset in multiple sclerosis.Frontiers in neurology · 2025Article
- Fully-automated estimation of upper cervical cord cross-sectional area using pontomedullary junction referencing in multiple sclerosis.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
- Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis.European journal of neurology · 2024Article
- Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.Brain communications · 2024Review
- Article
- A database of the healthy human spinal cord morphometry in the PAM50 template space.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Optimization of cervical cord synthetic TImaging neuroscience (Cambridge, Mass.) · 2024Article
- Pontomedullary junction as a reference for spinal cord cross-sectional area: validation across neck positions.Scientific reports · 2023Article
- Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Article
- Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2023Article
- Cervical spinal cord atrophy in amyotrophic lateral sclerosis across disease stages.Annals of clinical and translational neurology · 2023Article
- Progressive Spinal Cord Degeneration in Friedreich's Ataxia: Results from ENIGMA-Ataxia.Movement disorders : official journal of the Movement Disorder Society · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
background and purposeThe quantification of spinal cord (SC) atrophy by MRI has assumed an important role in assessment of neuroinflammatory/neurodegenerative diseases and traumatic SC injury. Recent technical advances make possible the quantification of gray matter (GM) and white matter tissues in clinical settings. However, the goal of a reliable diagnostic, prognostic or predictive marker is still elusive, in part due to large intersubject variability of SC areas. Here, we investigated the sources of this variability and explored effective strategies to reduce it.
methodsOne hundred twenty-nine healthy subjects (mean age: 41.0 ± 15.9) underwent MRI on a Siemens 3T Skyra scanner. Two-dimensional PSIR at the C2-C3 vertebral level and a sagittal 1 mm
resultsThe most effective normalization metrics were the V-scale (from SienaX) and the product of the C2-C3 spinal canal diameters. Normalization methods based on these metrics reduced the intersubject variability of cord areas of up to 17.74%. The measured cord areas had a statistically significant sex difference, while the effect of age was moderate.
conclusionsThe present work explored in a large cohort of healthy subjects the source of intersubject variability of SC areas and proposes effective normalization methods for its reduction.
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