Literature DB >> 26659338

Multicenter Validation of Mean Upper Cervical Cord Area Measurements from Head 3D T1-Weighted MR Imaging in Patients with Multiple Sclerosis.

Y Liu1, C Lukas2, M D Steenwijk3, M Daams4, A Versteeg3, Y Duan5, K Li5, F Weiler6, H K Hahn6, M P Wattjes3, F Barkhof3, H Vrenken7.   

Abstract

BACKGROUND AND
PURPOSE: Spinal cord atrophy is a common and clinically relevant characteristic in multiple sclerosis. We aimed to perform a multicenter validation study of mean upper cervical cord area measurements in patients with multiple sclerosis and healthy controls from head MR images and to explore the effect of gadolinium administration on mean upper cervical cord area measurements.
MATERIALS AND METHODS: We recruited 97 subjects from 3 centers, including 60 patients with multiple sclerosis of different disease types and 37 healthy controls. Both cervical cord and head 3D T1-weighted images were acquired. In 11 additional patients from 1 center, head images before and after gadolinium administration and cervical cord images after gadolinium administration were acquired. The mean upper cervical cord area was compared between cervical cord and head images by using intraclass correlation coefficients (ICC) for both consistency (ICCconsist) and absolute (ICCabs) agreement.
RESULTS: There was excellent agreement of mean upper cervical cord area measurements from head and cervical cord images in the entire group (ICCabs = 0.987) and across centers and disease subtypes. The mean absolute difference between the mean upper cervical cord area measured from head and cervical cord images was 2 mm(2) (2.3%). Additionally, excellent agreement was found between the mean upper cervical cord area measured from head images with and without gadolinium administration (ICCabs = 0.991) and between the cervical cord and head images with gadolinium administration (ICCabs = 0.992).
CONCLUSIONS: Excellent agreement between mean upper cervical cord area measurements on head and cervical cord images was observed in this multicenter study, implying that upper cervical cord atrophy can be reliably measured from head images. Postgadolinium head or cervical cord images may also be suitable for measuring mean upper cervical cord area.
© 2016 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26659338     DOI: 10.3174/ajnr.A4635

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  8 in total

1.  Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1 -weighted brain MRI acquisitions.

Authors:  Nico Papinutto; Rohit Bakshi; Antje Bischof; Peter A Calabresi; Eduardo Caverzasi; R Todd Constable; Esha Datta; Gina Kirkish; Govind Nair; Jiwon Oh; Daniel Pelletier; Dzung L Pham; Daniel S Reich; William Rooney; Snehashis Roy; Daniel Schwartz; Russell T Shinohara; Nancy L Sicotte; William A Stern; Ian Tagge; Shahamat Tauhid; Subhash Tummala; Roland G Henry
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

Review 2.  Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.

Authors:  Tim Sinnecker; Cristina Granziera; Jens Wuerfel; Regina Schlaeger
Journal:  Curr Treat Options Neurol       Date:  2018-04-20       Impact factor: 3.598

3.  Considerations for Mean Upper Cervical Cord Area Implementation in a Longitudinal MRI Setting: Methods, Interrater Reliability, and MRI Quality Control.

Authors:  C Chien; V Juenger; M Scheel; A U Brandt; F Paul
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-23       Impact factor: 3.825

4.  Cervical spinal cord atrophy: An early marker of progressive MS onset.

Authors:  Burcu Zeydan; Xinyi Gu; Elizabeth J Atkinson; B Mark Keegan; Brian G Weinshenker; Jan-Mendelt Tillema; Daniel Pelletier; Christina J Azevedo; Christine Lebrun-Frenay; Aksel Siva; Darin T Okuda; Kejal Kantarci; Orhun H Kantarci
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2018-01-22

Review 5.  Advances in spinal cord imaging in multiple sclerosis.

Authors:  Marcello Moccia; Serena Ruggieri; Antonio Ianniello; Ahmed Toosy; Carlo Pozzilli; Olga Ciccarelli
Journal:  Ther Adv Neurol Disord       Date:  2019-04-22       Impact factor: 6.570

6.  Cervical Spinal Cord Atrophy can be Accurately Quantified Using Head Images.

Authors:  Kamyar Taheri; Irene M Vavasour; Shawna Abel; Lisa Eunyoung Lee; Poljanka Johnson; Stephen Ristow; Roger Tam; Cornelia Laule; Nathalie Chantal Ackermans; Alice Schabas; Helen Cross; Jillian Katrina Chan; Ana-Luiza Sayao; Virender Bhan; Virginia Devonshire; Robert Carruthers; David Kb Li; Anthony L Traboulsee; Shannon H Kolind; Adam Vladimir Dvorak
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-01-07

7.  The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosis.

Authors:  Ingrid Anne Lie; Emma Kerklingh; Kristin Wesnes; David R van Nederpelt; Iman Brouwer; Øivind Torkildsen; Kjell-Morten Myhr; Frederik Barkhof; Lars Bø; Hugo Vrenken
Journal:  Eur Radiol       Date:  2022-01-03       Impact factor: 7.034

8.  Spinal cord atrophy in a primary progressive multiple sclerosis trial: Improved sample size using GBSI.

Authors:  Marcello Moccia; Nicola Valsecchi; Olga Ciccarelli; Ronald Van Schijndel; Frederik Barkhof; Ferran Prados
Journal:  Neuroimage Clin       Date:  2020-09-09       Impact factor: 4.881

  8 in total

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