Literature DB >> 26945922

Postmortem validation of MRI cortical volume measurements in MS.

Veronica Popescu1, Roel Klaver2, Adriaan Versteeg1, Pieter Voorn2, Jos W R Twisk3, Frederik Barkhof1, Jeroen J G Geurts2, Hugo Vrenken1,4.   

Abstract

Grey matter (GM) atrophy is a prominent aspect of multiple sclerosis pathology and an important outcome in studies. GM atrophy measurement requires accurate GM segmentation. Several methods are used in vivo for measuring GM volumes in MS, but assessing their validity in vivo remains challenging. In this postmortem study, we evaluated the correlation between postmortem MRI cortical volume or thickness and the cortical thickness measured on histological sections. Sixteen MS brains were scanned in situ using 3DT1-weighted MRI and these images were used to measure regional cortical volume using FSL-SIENAX, FreeSurfer, and SPM, and regional cortical thickness using FreeSurfer. Subsequently, cortical thickness was measured histologically in 5 systematically sampled cortical areas. Linear regression analyses were used to evaluate the relation between MRI regional cortical volume or thickness and histological cortical thickness to determine which postprocessing technique was most valid. After correction for multiple comparisons, we observed a significant correlation with the histological cortical thickness for FSL-SIENAX cortical volume with manual editing (std. β = 0.345, adjusted R(2)  = 0.105, P = 0.005), and FreeSurfer cortical volume with manual editing (std. β = 0.379, adjusted R(2)  = 0.129, P = 0.003). In addition, there was a significant correlation between FreeSurfer cortical thickness with manual editing and histological cortical thickness (std. β = 0.381, adjusted R(2)  = 0.130, P = 0.003). The results support the use of FSL-SIENAX and FreeSurfer in cases of severe MS pathology. Interestingly none of the methods were significant in automated mode, which supports the use of manual editing to improve the automated segmentation. Hum Brain Mapp 37:2223-2233, 2016.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  FSL-SIENAX; FreeSurfer; SIENAX; SPM; brain atrophy; grey matter; multiple sclerosis

Mesh:

Year:  2016        PMID: 26945922      PMCID: PMC6867379          DOI: 10.1002/hbm.23168

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  24 in total

1.  Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

Authors:  Stephen M Smith; Yongyue Zhang; Mark Jenkinson; Jacqueline Chen; P M Matthews; Antonio Federico; Nicola De Stefano
Journal:  Neuroimage       Date:  2002-09       Impact factor: 6.556

2.  Voxel-based morphometry of human brain with age and cerebrovascular risk factors.

Authors:  Yasuyuki Taki; Ryoi Goto; Alan Evans; Alex Zijdenbos; Peter Neelin; Jason Lerch; Kazunori Sato; Shuichi Ono; Shigeo Kinomura; Manabu Nakagawa; Motoaki Sugiura; Jobu Watanabe; Ryuta Kawashima; Hiroshi Fukuda
Journal:  Neurobiol Aging       Date:  2004-04       Impact factor: 4.673

3.  The relationship between whole brain volume and disability in multiple sclerosis: a comparison of normalized gray vs. white matter with misclassification correction.

Authors:  Michael P Sanfilipo; Ralph H B Benedict; Jitendra Sharma; Bianca Weinstock-Guttman; Rohit Bakshi
Journal:  Neuroimage       Date:  2005-04-20       Impact factor: 6.556

Review 4.  Gray matter pathology in (chronic) MS: modern views on an early observation.

Authors:  Jeroen J G Geurts; Peter K Stys; A Minagar; S Amor; R Zivadinov
Journal:  J Neurol Sci       Date:  2009-02-26       Impact factor: 3.181

5.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

6.  Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques.

Authors:  F Durand-Dubief; B Belaroussi; J P Armspach; M Dufour; S Roggerone; S Vukusic; S Hannoun; D Sappey-Marinier; C Confavreux; F Cotton
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-12       Impact factor: 3.825

7.  What drives MRI-measured cortical atrophy in multiple sclerosis?

Authors:  V Popescu; R Klaver; P Voorn; Y Galis-de Graaf; D L Knol; J W R Twisk; A Versteeg; G J Schenk; P Van der Valk; F Barkhof; H E De Vries; H Vrenken; J J G Geurts
Journal:  Mult Scler       Date:  2015-01-12       Impact factor: 6.312

8.  A voxel-based morphometric study of ageing in 465 normal adult human brains.

Authors:  C D Good; I S Johnsrude; J Ashburner; R N Henson; K J Friston; R S Frackowiak
Journal:  Neuroimage       Date:  2001-07       Impact factor: 6.556

9.  Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant.

Authors:  Martijn D Steenwijk; Jeroen J G Geurts; Marita Daams; Betty M Tijms; Alle Meije Wink; Lisanne J Balk; Prejaas K Tewarie; Bernard M J Uitdehaag; Frederik Barkhof; Hugo Vrenken; Petra J W Pouwels
Journal:  Brain       Date:  2015-12-04       Impact factor: 13.501

Review 10.  Brain atrophy assessment in multiple sclerosis: importance and limitations.

Authors:  Antonio Giorgio; Marco Battaglini; Stephen M Smith; Nicola De Stefano
Journal:  Neuroimaging Clin N Am       Date:  2008-11       Impact factor: 2.264

View more
  11 in total

Review 1.  Brain MRI atrophy quantification in MS: From methods to clinical application.

Authors:  Maria A Rocca; Marco Battaglini; Ralph H B Benedict; Nicola De Stefano; Jeroen J G Geurts; Roland G Henry; Mark A Horsfield; Mark Jenkinson; Elisabetta Pagani; Massimo Filippi
Journal:  Neurology       Date:  2016-12-16       Impact factor: 9.910

2.  Inter-Regional Variations in Gene Expression and Age-Related Cortical Thinning in the Adolescent Brain.

Authors:  Angelita Pui-Yee Wong; Leon French; Gabriel Leonard; Michel Perron; G Bruce Pike; Louis Richer; Suzanne Veillette; Zdenka Pausova; Tomáš Paus
Journal:  Cereb Cortex       Date:  2018-04-01       Impact factor: 5.357

3.  Comparison of FreeSurfer and CAT12 Software in Parcel-Based Cortical Thickness Calculations.

Authors:  Ulaş Ay; Gozde Kizilates-Evin; Ali Bayram; Elif Kurt; Tamer Demiralp
Journal:  Brain Topogr       Date:  2022-10-08       Impact factor: 4.275

4.  Volume versus surface-based cortical thickness measurements: A comparative study with healthy controls and multiple sclerosis patients.

Authors:  R Righart; P Schmidt; R Dahnke; V Biberacher; A Beer; D Buck; B Hemmer; J S Kirschke; C Zimmer; C Gaser; M Mühlau
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

5.  Cortical pathology in multiple sclerosis detected by the T1/T2-weighted ratio from routine magnetic resonance imaging.

Authors:  Ruthger Righart; Viola Biberacher; Laura E Jonkman; Roel Klaver; Paul Schmidt; Dorothea Buck; Achim Berthele; Jan S Kirschke; Claus Zimmer; Bernhard Hemmer; Jeroen J G Geurts; Mark Mühlau
Journal:  Ann Neurol       Date:  2017-09-16       Impact factor: 10.422

6.  Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis.

Authors:  Zafer Keser; Khader M Hasan; Benson Mwangi; Kyan Younes; Mahsa Khayat-Khoei; Arash Kamali; John A Lincoln; Flavia M Nelson
Journal:  Front Neurol       Date:  2018-03-12       Impact factor: 4.003

Review 7.  Resolving the clinico-radiological paradox in multiple sclerosis.

Authors:  Declan Chard; S Anand Trip
Journal:  F1000Res       Date:  2017-10-12

8.  Multimodal Discrimination between Normal Aging, Mild Cognitive Impairment and Alzheimer's Disease and Prediction of Cognitive Decline.

Authors:  Corinna M Bauer; Howard J Cabral; Ronald J Killiany
Journal:  Diagnostics (Basel)       Date:  2018-02-06

9.  Time matters in multiple sclerosis: can early treatment and long-term follow-up ensure everyone benefits from the latest advances in multiple sclerosis?

Authors:  João J Cerqueira; D Alastair S Compston; Ruth Geraldes; Mario M Rosa; Klaus Schmierer; Alan Thompson; Michela Tinelli; Jacqueline Palace
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-04-04       Impact factor: 10.154

10.  Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis.

Authors:  Christopher C Hemond; Renxin Chu; Subhash Tummala; Shahamat Tauhid; Brian C Healy; Rohit Bakshi
Journal:  Brain Behav       Date:  2018-07-18       Impact factor: 2.708

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.