Literature DB >> 27159989

Reliable volumetry of the cervical spinal cord in MS patient follow-up data with cord image analyzer (Cordial).

Michael Amann1,2,3, Simon Pezold4, Yvonne Naegelin5, Ketut Fundana4, Michaela Andělová5, Katrin Weier5, Christoph Stippich6, Ludwig Kappos5, Ernst-Wilhelm Radue7, Philippe Cattin4, Till Sprenger5,8.   

Abstract

Spinal cord (SC) atrophy is an important contributor to the development of disability in many neurological disorders including multiple sclerosis (MS). To assess the spinal cord atrophy in clinical trials and clinical practice, largely automated methods are needed due to the sheer amount of data. Moreover, using these methods in longitudinal trials requires them to deliver highly reliable measurements, enabling comparisons of multiple data sets of the same subject over time. We present a method for SC volumetry using 3D MRI data providing volume measurements for SC sections of fixed length and location. The segmentation combines a continuous max flow approach with SC surface reconstruction that locates the SC boundary based on image voxel intensities. Two cutting planes perpendicular to the SC centerline are determined based on predefined distances to an anatomical landmark, and the cervical SC volume (CSCV) is then calculated in-between these boundaries. The development of the method focused on its application in MRI follow-up studies; the method provides a high scan-rescan reliability, which was tested on healthy subject data. Scan-rescan reliability coefficients of variation (COV) were below 1 %, intra- and interrater COV were even lower (0.1-0.2 %). To show the applicability in longitudinal trials, 3-year follow-up data of 48 patients with a progressive course of MS were assessed. In this cohort, CSCV loss was the only significant predictor of disability progression (p = 0.02). We are, therefore, confident that our method provides a reliable tool for SC volumetry in longitudinal clinical trials.

Entities:  

Keywords:  Atrophy; Continuous max flow; Multiple sclerosis; Progression; Reliability; Segmentation; Spinal cord; Volumetry

Mesh:

Year:  2016        PMID: 27159989     DOI: 10.1007/s00415-016-8133-0

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  26 in total

1.  Normalized accurate measurement of longitudinal brain change.

Authors:  S M Smith; N De Stefano; M Jenkinson; P M Matthews
Journal:  J Comput Assist Tomogr       Date:  2001 May-Jun       Impact factor: 1.826

2.  Effects of flexion-extension movements of the head and spine upon the spinal cord and nerve roots.

Authors:  J D REID
Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-08       Impact factor: 10.154

3.  Two-year study of cervical cord volume and myelin water in primary progressive multiple sclerosis.

Authors:  C Laule; I M Vavasour; Y Zhao; A L Traboulsee; J Oger; J D Vavasour; A L Mackay; D K B Li
Journal:  Mult Scler       Date:  2010-06       Impact factor: 6.312

4.  Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

Authors:  Min Chen; Aaron Carass; Jiwon Oh; Govind Nair; Dzung L Pham; Daniel S Reich; Jerry L Prince
Journal:  Neuroimage       Date:  2013-08-06       Impact factor: 6.556

5.  Automatic segmentation of spinal cord MRI using symmetric boundary tracing.

Authors:  Dipti Prasad Mukherjee; Irene Cheng; Nilanjan Ray; Vivian Mushahwar; Marc Lebel; Anup Basu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2010-06-07

6.  Framework for integrated MRI average of the spinal cord white and gray matter: the MNI-Poly-AMU template.

Authors:  V S Fonov; A Le Troter; M Taso; B De Leener; G Lévêque; M Benhamou; M Sdika; H Benali; P-F Pradat; D L Collins; V Callot; J Cohen-Adad
Journal:  Neuroimage       Date:  2014-09-07       Impact factor: 6.556

7.  NMR imaging of the spine.

Authors:  J S Han; B Kaufman; S J El Yousef; J E Benson; C T Bonstelle; R J Alfidi; J R Haaga; H Yeung; R G Huss
Journal:  AJR Am J Roentgenol       Date:  1983-12       Impact factor: 3.959

8.  Spinal cord normalization in multiple sclerosis.

Authors:  Jiwon Oh; Michaela Seigo; Shiv Saidha; Elias Sotirchos; Kathy Zackowski; Min Chen; Jerry Prince; Marie Diener-West; Peter A Calabresi; Daniel S Reich
Journal:  J Neuroimaging       Date:  2014-03-05       Impact factor: 2.486

9.  Quantification of spinal cord atrophy from magnetic resonance images via a B-spline active surface model.

Authors:  O Coulon; S J Hickman; G J Parker; G J Barker; D H Miller; S R Arridge
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

10.  Cervical spinal cord MTR histogram analysis in multiple sclerosis using a 3D acquisition and a B-spline active surface segmentation technique.

Authors:  S J Hickman; A Hadjiprocopis; O Coulon; D H Miller; G J Barker
Journal:  Magn Reson Imaging       Date:  2004-07       Impact factor: 2.546

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  6 in total

1.  Reliable and fast volumetry of the lumbar spinal cord using cord image analyser (Cordial).

Authors:  Charidimos Tsagkas; Anna Altermatt; Ulrike Bonati; Simon Pezold; Julia Reinhard; Michael Amann; Philippe Cattin; Jens Wuerfel; Dirk Fischer; Katrin Parmar; Arne Fischmann
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

Review 2.  Magnetic resonance imaging in immune-mediated myelopathies.

Authors:  M J Wendebourg; S Nagy; T Derfuss; K Parmar; R Schlaeger
Journal:  J Neurol       Date:  2019-01-29       Impact factor: 4.849

3.  Classification of multiple sclerosis based on patterns of CNS regional atrophy covariance.

Authors:  Charidimos Tsagkas; Katrin Parmar; Simon Pezold; Christian Barro; Mallar M Chakravarty; Laura Gaetano; Yvonne Naegelin; Michael Amann; Athina Papadopoulou; Jens Wuerfel; Ludwig Kappos; Jens Kuhle; Till Sprenger; Cristina Granziera; Stefano Magon
Journal:  Hum Brain Mapp       Date:  2021-02-24       Impact factor: 5.038

4.  Central nervous system atrophy predicts future dynamics of disability progression in a real-world multiple sclerosis cohort.

Authors:  Charidimos Tsagkas; Yvonne Naegelin; Michael Amann; Athina Papadopoulou; Christian Barro; M Mallar Chakravarty; Laura Gaetano; Jens Wuerfel; Ludwig Kappos; Jens Kuhle; Cristina Granziera; Till Sprenger; Stefano Magon; Katrin Parmar
Journal:  Eur J Neurol       Date:  2021-09-17       Impact factor: 6.288

Review 5.  MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice.

Authors:  Jaume Sastre-Garriga; Deborah Pareto; Marco Battaglini; Maria A Rocca; Olga Ciccarelli; Christian Enzinger; Jens Wuerfel; Maria P Sormani; Frederik Barkhof; Tarek A Yousry; Nicola De Stefano; Mar Tintoré; Massimo Filippi; Claudio Gasperini; Ludwig Kappos; Jordi Río; Jette Frederiksen; Jackie Palace; Hugo Vrenken; Xavier Montalban; Àlex Rovira
Journal:  Nat Rev Neurol       Date:  2020-02-24       Impact factor: 42.937

6.  Biomarkers of treatment response in patients with progressive multiple sclerosis treated with high-dose pharmaceutical-grade biotin (MD1003).

Authors:  Nicolas Collongues; Jens Kuhle; Charidimos Tsagkas; Julien Lamy; Nicolas Meyer; Christian Barro; Katrin Parmar; Michael Amann; Jens Wuerfel; Ludwig Kappos; Thibault Moreau; Jerome de Seze
Journal:  Brain Behav       Date:  2020-12-13       Impact factor: 3.405

  6 in total

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