Literature DB >> 32639671

MRI Measurement of Upper Cervical Spinal Cord Cross-Sectional Area in Children.

Nico Papinutto1, Christian Cordano1, Carlo Asteggiano1,2, Eduardo Caverzasi1, Maria Luisa Mandelli1, Michael Lauricella1, Nicole Yabut1, Matthew Neylan1, Gina Kirkish1, Maria Luisa Gorno-Tempini1, Roland G Henry1.   

Abstract

BACKGROUND AND
PURPOSE: Neurological 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.
METHODS: Seventy-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.
RESULTS: CSA 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%.
CONCLUSIONS: We 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.

Entities:  

Keywords:  Intersubject variability; magnetic resonance imaging; normalization strategies; pediatric; spinal cord

Mesh:

Year:  2020        PMID: 32639671      PMCID: PMC7530010          DOI: 10.1111/jon.12758

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  18 in total

1.  Brain size and white matter content of cerebrospinal tracts determine the upper cervical cord area: evidence from structural brain MRI.

Authors:  Christina Engl; Paul Schmidt; Milan Arsic; Christine C Boucard; Viola Biberacher; Michael Röttinger; Thorleif Etgen; Sabine Nunnemann; Nikolaos Koutsouleris; Maximilian Reiser; Eva M Meisenzahl; Mark Mühlau
Journal:  Neuroradiology       Date:  2013-05-29       Impact factor: 2.804

2.  Whole-spine magnetic resonance imaging study in healthy Chinese adolescents.

Authors:  Li-feng Lao; Zheng-guang Chen; Gui-xing Qiu; Jian-xiong Shen
Journal:  Orthop Surg       Date:  2013-08       Impact factor: 2.071

3.  Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas.

Authors:  Nico Papinutto; Carlo Asteggiano; Antje Bischof; Tristan J Gundel; Eduardo Caverzasi; William A Stern; Stefano Bastianello; Stephen L Hauser; Roland G Henry
Journal:  J Neuroimaging       Date:  2019-09-30       Impact factor: 2.486

4.  Morphometric analysis of the developing pediatric cervical spine.

Authors:  Kyle T Johnson; Wajd N Al-Holou; Richard C E Anderson; Thomas J Wilson; Tejas Karnati; Mohannad Ibrahim; Hugh J L Garton; Cormac O Maher
Journal:  J Neurosurg Pediatr       Date:  2016-05-27       Impact factor: 2.375

5.  Magnetic resonance imaging measures of brain and spinal cord atrophy correlate with clinical impairment in secondary progressive multiple sclerosis.

Authors:  J Furby; T Hayton; V Anderson; D Altmann; R Brenner; J Chataway; Rac Hughes; Kj Smith; Dh Miller; R Kapoor
Journal:  Mult Scler       Date:  2008-07-16       Impact factor: 6.312

6.  Feasibility of grey matter and white matter segmentation of the upper cervical cord in vivo: a pilot study with application to magnetisation transfer measurements.

Authors:  M C Yiannakas; H Kearney; R S Samson; D T Chard; O Ciccarelli; D H Miller; C A M Wheeler-Kingshott
Journal:  Neuroimage       Date:  2012-07-28       Impact factor: 6.556

7.  Age, gender and normalization covariates for spinal cord gray matter and total cross-sectional areas at cervical and thoracic levels: A 2D phase sensitive inversion recovery imaging study.

Authors:  Nico Papinutto; Regina Schlaeger; Valentina Panara; Alyssa H Zhu; Eduardo Caverzasi; William A Stern; Stephen L Hauser; Roland G Henry
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

8.  Abnormal age-related cortical folding and neurite morphology in children with developmental dyslexia.

Authors:  Eduardo Caverzasi; Maria Luisa Mandelli; Fumiko Hoeft; Christa Watson; Marita Meyer; Isabel E Allen; Nico Papinutto; Cheng Wang; Claudia A M Gandini Wheeler-Kingshott; Elysa J Marco; Pratik Mukherjee; Zachary A Miller; Bruce L Miller; Robert Hendren; Kevin A Shapiro; Maria Luisa Gorno-Tempini
Journal:  Neuroimage Clin       Date:  2018-03-14       Impact factor: 4.881

9.  Evaluation of Intra- and Interscanner Reliability of MRI Protocols for Spinal Cord Gray Matter and Total Cross-Sectional Area Measurements.

Authors:  Nico Papinutto; Roland G Henry
Journal:  J Magn Reson Imaging       Date:  2018-09-09       Impact factor: 4.813

10.  Measurement of spinal cord atrophy using phase sensitive inversion recovery (PSIR) imaging in motor neuron disease.

Authors:  Nicholas T Olney; Antje Bischof; Howard Rosen; Eduardo Caverzasi; William A Stern; Catherine Lomen-Hoerth; Bruce L Miller; Roland G Henry; Nico Papinutto
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

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  1 in total

1.  Normalization of Spinal Cord Total Cross-Sectional and Gray Matter Areas as Quantified With Radially Sampled Averaged Magnetization Inversion Recovery Acquisitions.

Authors:  Eva M Kesenheimer; Maria Janina Wendebourg; Matthias Weigel; Claudia Weidensteiner; Tanja Haas; Laura Richter; Laura Sander; Antal Horvath; Muhamed Barakovic; Philippe Cattin; Cristina Granziera; Oliver Bieri; Regina Schlaeger
Journal:  Front Neurol       Date:  2021-03-25       Impact factor: 4.003

  1 in total

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