Literature DB >> 26096844

Effect of in-painting on cortical thickness measurements in multiple sclerosis: A large cohort study.

Koushik A Govindarajan1, Sushmita Datta1, Khader M Hasan1, Sangbum Choi2, Mohammad H Rahbar2, Stacey S Cofield3, Gary R Cutter3, Fred D Lublin4, Jerry S Wolinsky5, Ponnada A Narayana1.   

Abstract

A comprehensive analysis of the effect of lesion in-painting on the estimation of cortical thickness using magnetic resonance imaging was performed on a large cohort of 918 relapsing-remitting multiple sclerosis patients who participated in a phase III multicenter clinical trial. An automatic lesion in-painting algorithm was developed and implemented. Cortical thickness was measured using the FreeSurfer pipeline with and without in-painting. The effect of in-painting was evaluated using FreeSurfer's paired analysis pipeline. Multivariate regression analysis was also performed with field strength and lesion load as additional factors. Overall, the estimated cortical thickness was different with in-painting than without. The effect of in-painting was observed to be region dependent, more significant in the left hemisphere compared to the right, was more prominent at 1.5 T relative to 3 T, and was greater at higher lesion volumes. Our results show that even for data acquired at 1.5 T in patients with high lesion load, the mean cortical thickness difference with and without in-painting is ∼2%. Based on these results, it appears that in-painting has only a small effect on the estimated regional and global cortical thickness. Hum Brain Mapp 36:3749-3760, 2015.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  FreeSurfer; cortical thickness; lesion in-painting; multiple sclerosis; multiple sclerosis lesions

Mesh:

Year:  2015        PMID: 26096844      PMCID: PMC4839289          DOI: 10.1002/hbm.22875

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


  38 in total

1.  Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?

Authors:  Herve Lemaitre; Aaron L Goldman; Fabio Sambataro; Beth A Verchinski; Andreas Meyer-Lindenberg; Daniel R Weinberger; Venkata S Mattay
Journal:  Neurobiol Aging       Date:  2010-08-23       Impact factor: 4.673

2.  Routine clinical brain MRI sequences for use at 3.0 Tesla.

Authors:  Hanzhang Lu; Lidia M Nagae-Poetscher; Xavier Golay; Doris Lin; Martin Pomper; Peter C M van Zijl
Journal:  J Magn Reson Imaging       Date:  2005-07       Impact factor: 4.813

3.  Filling-in by joint interpolation of vector fields and gray levels.

Authors:  C Ballester; M Bertalmio; V Caselles; G Sapiro; J Verdera
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

4.  Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.

Authors:  Declan T Chard; Jonathan S Jackson; David H Miller; Claudia A M Wheeler-Kingshott
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

5.  Sex, age, and cognitive correlates of asymmetries in thickness of the cortical mantle across the life span.

Authors:  Kerstin J Plessen; Kenneth Hugdahl; Ravi Bansal; Xuejun Hao; Bradley S Peterson
Journal:  J Neurosci       Date:  2014-04-30       Impact factor: 6.167

6.  Cortical pathology in multiple sclerosis patients with epilepsy: a 3 year longitudinal study.

Authors:  M Calabrese; P Grossi; A Favaretto; C Romualdi; M Atzori; F Rinaldi; P Perini; M Saladini; P Gallo
Journal:  J Neurol Neurosurg Psychiatry       Date:  2011-09-02       Impact factor: 10.154

7.  Extent of cerebellum, subcortical and cortical atrophy in patients with MS: a case-control study.

Authors:  Deepa Preeti Ramasamy; Ralph H B Benedict; Jennifer L Cox; David Fritz; Nadir Abdelrahman; Sara Hussein; Alireza Minagar; Michael G Dwyer; Robert Zivadinov
Journal:  J Neurol Sci       Date:  2009-02-06       Impact factor: 3.181

8.  Widespread cortical thinning characterizes patients with MS with mild cognitive impairment.

Authors:  M Calabrese; F Rinaldi; I Mattisi; P Grossi; A Favaretto; M Atzori; V Bernardi; L Barachino; C Romualdi; L Rinaldi; P Perini; P Gallo
Journal:  Neurology       Date:  2010-01-26       Impact factor: 9.910

9.  Evaluating and reducing the impact of white matter lesions on brain volume measurements.

Authors:  Marco Battaglini; Mark Jenkinson; Nicola De Stefano
Journal:  Hum Brain Mapp       Date:  2011-08-31       Impact factor: 5.038

10.  White matter lesion filling improves the accuracy of cortical thickness measurements in multiple sclerosis patients: a longitudinal study.

Authors:  Stefano Magon; Laura Gaetano; M Mallar Chakravarty; Jason P Lerch; Yvonne Naegelin; Christoph Stippich; Ludwig Kappos; Ernst-Wilhelm Radue; Till Sprenger
Journal:  BMC Neurosci       Date:  2014-09-08       Impact factor: 3.288

View more
  6 in total

1.  Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI.

Authors:  Ponnada A Narayana; Ivan Coronado; Sheeba J Sujit; Jerry S Wolinsky; Fred D Lublin; Refaat E Gabr
Journal:  Radiology       Date:  2019-12-17       Impact factor: 11.105

2.  Early gray matter atrophy and neurological deficits in patients with carbon monoxide poisoning.

Authors:  Yanli Zhang; Tianhong Wang; Shuaiwen Wang; Yuling Gao; Shaoyu Wang; Shunlin Guo; Junqiang Lei
Journal:  Neuroradiology       Date:  2022-08-29       Impact factor: 2.995

Review 3.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

4.  Identifying Morphological Patterns of Hippocampal Atrophy in Patients With Mesial Temporal Lobe Epilepsy and Alzheimer Disease.

Authors:  Yiran Duan; Yicong Lin; Dennis Rosen; Jialin Du; Liu He; Yuping Wang
Journal:  Front Neurol       Date:  2020-01-23       Impact factor: 4.003

5.  Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis.

Authors:  Melanie Marcille; Sandra Hurtado Rúa; Charles Tyshkov; Abhishek Jaywant; Joseph Comunale; Ulrike W Kaunzner; Nancy Nealon; Jai S Perumal; Lily Zexter; Nicole Zinger; Olivia Bruvik; Yi Wang; Elizabeth Sweeney; Amy Kuceyeski; Thanh D Nguyen; Susan A Gauthier
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

6.  Gray Matter Involvement in Radiologically Isolated Syndrome.

Authors:  Andrés Labiano-Fontcuberta; Virginia Mato-Abad; Juan Álvarez-Linera; Juan Antonio Hernández-Tamames; M Luisa Martínez-Ginés; Yolanda Aladro; Lucía Ayuso; Ángela Domingo-Santos; Julián Benito-León
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.