• Nico Papinutto, Christian Cordano, Carlo Asteggiano, Eduardo Caverzasi, Maria Luisa Mandelli, Michael Lauricella, Nicole Yabut, Matthew Neylan, Gina Kirkish, Maria Luisa Gorno-Tempini, and Roland G Henry.
• UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, CA.
• J Neuroimaging. 2020 Sep 1; 30 (5): 598-602.

Background And PurposeNeurological and neurodegenerative diseases can affect the spinal cord (SC) of pediatric patients. Magnetic resonance imaging (MRI) allows for in vivo quantification of SC atrophy via cross-sectional area (CSA). The study of CSA values in the general population is important to disentangle disease-related changes from intersubject variability. This study aimed at providing normative values for cervical CSA in children, extending our previous work performed with adults.MethodsSeventy-eight children (age 7-17 years) were selected from a Developmental Dyslexia study. All subjects underwent a 3T brain MRI session and any incidental findings were reported on the scans. A sagittal 1 mm3 3-dimensional T1 -weighted brain acquisition extended to the upper cervical cord was used to measure CSA at C2-C3, as well as spinal canal area and skull volume (V-scale). These three metrics were linearly fitted as a function of age to extract trends and percentage annual changes. Sex differences of CSA were assessed using least squares regression analyses, adjusting for age. We tested normalization strategies proven to be effective in reducing the intersubject variability of adults' CSA.ResultsCSA changed as a function of age at a faster rate when compared with skull volume (CSA: 1.82% increase, V-scale: .60% reduction). Sex had a statistically significant effect on CSA. Normalization methods based on canal area and skull volume reduced the CSA intersubject variability up to 16.84%.ConclusionsWe present CSA normative values in a large cohort of children, reporting on sources of intersubject variability and how to reduce them applying normalization methods previously developed.© 2020 American Society of Neuroimaging.

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