Literature DB >> 19711400

Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis.

D J Tozer1, G Marongiu, J K Swanton, A J Thompson, D H Miller.   

Abstract

PURPOSE: To investigate the behavior of texture parameters derived from the gray level co-occurrence matrix from gray matter (GM) and white matter (WM) (with lesions removed) segments of magnetization transfer ratio maps from controls and patients.
MATERIALS AND METHODS: Magnetization transfer ratio maps from 23 controls and patients with either a clinically isolated syndrome (CIS) (38 patients) or clinically definite multiple sclerosis (MS) (35) were scanned and texture parameters extracted. The texture parameters were compared between the groups and correlated with clinical measures of disability in the MS patients to investigate any association with disease severity.
RESULTS: No significant differences were found between the texture parameters from controls and CIS patients; however, several parameters differ between MS patients and the two other groups, particularly in the GM, but also in the WM. The expanded disability status score and timed walk test correlate with GM texture measures, while the Paced Auditory Serial Addition Test 3 score, a cognitive measure, correlates with WM texture. Texture abnormalities were seen in MS WM and GM, indicating tissue damage beyond classical WM lesions, the abnormalities being more evident in GM.
CONCLUSION: The findings highlight potential for texture analysis measures in classifying central nervous system demyelinating diseases that warrants further investigation.

Entities:  

Mesh:

Year:  2009        PMID: 19711400     DOI: 10.1002/jmri.21885

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

Review 1.  Texture analysis: a review of neurologic MR imaging applications.

Authors:  A Kassner; R E Thornhill
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

2.  Voxel-based texture analysis of the brain.

Authors:  Rouzbeh Maani; Yee Hong Yang; Sanjay Kalra
Journal:  PLoS One       Date:  2015-03-10       Impact factor: 3.240

3.  Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT.

Authors:  K Buch; A Fujita; B Li; Y Kawashima; M M Qureshi; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-02       Impact factor: 3.825

Review 4.  The prognostic utility of MRI in clinically isolated syndrome: a literature review.

Authors:  C Odenthal; A Coulthard
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-15       Impact factor: 3.825

5.  MRI texture analysis in multiple sclerosis.

Authors:  Yunyan Zhang
Journal:  Int J Biomed Imaging       Date:  2011-11-16

6.  Texture Analysis of T2-Weighted MR Images to Assess Acute Inflammation in Brain MS Lesions.

Authors:  Nicolas Michoux; Alain Guillet; Denis Rommel; Giosué Mazzamuto; Christian Sindic; Thierry Duprez
Journal:  PLoS One       Date:  2015-12-22       Impact factor: 3.240

7.  Quantitative and textural analysis of magnetization transfer and diffusion images in the early detection of brain metastases.

Authors:  Nicola L Ainsworth; Mary A McLean; Dominick J O McIntyre; Davina J Honess; Anna M Brown; Susan V Harden; John R Griffiths
Journal:  Magn Reson Med       Date:  2016-06-09       Impact factor: 4.668

8.  Cerebral Degeneration in Amyotrophic Lateral Sclerosis Revealed by 3-Dimensional Texture Analysis.

Authors:  Rouzbeh Maani; Yee-Hong Yang; Derek Emery; Sanjay Kalra
Journal:  Front Neurosci       Date:  2016-03-30       Impact factor: 4.677

9.  Application of Texture Analysis in Diagnosis of Multiple Sclerosis by Magnetic Resonance Imaging.

Authors:  Ali Abbasian Ardakani; Akbar Gharbali; Yalda Saniei; Arash Mosarrezaii; Surena Nazarbaghi
Journal:  Glob J Health Sci       Date:  2015-03-30

10.  Texture Analysis of T1-Weighted and Fluid-Attenuated Inversion Recovery Images Detects Abnormalities That Correlate With Cognitive Decline in Small Vessel Disease.

Authors:  Daniel J Tozer; Eva Zeestraten; Andrew J Lawrence; Thomas R Barrick; Hugh S Markus
Journal:  Stroke       Date:  2018-06-04       Impact factor: 7.914

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