Literature DB >> 19361563

T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis.

Yunyan Zhang1, Hongmei Zhu, J R Mitchell, Fiona Costello, Luanne M Metz.   

Abstract

T2 hyperintensity is pathologically non-specific in multiple sclerosis (MS) yet lesion analysis remains an important disease outcome. Texture analysis based on the polar Stockwell Transform (PST) was performed on twelve acute T2 lesions before, during, and after the development of gadolinium-enhancement. When regular myelin structure is disrupted coarse texture increases because tissue becomes disorganized. Coarse texture was quantified as the sum of low frequency energy (sumLFE). Matching regions of contralateral and general normal appearing white matter (NAWM) and chronic T2 lesions were analyzed in parallel as controls. Coarse texture increased in acute lesions during enhancement (p<0.05) then variably recovered. It remained stable in NAWM and tended to increase in chronic T2 lesions. Seven of twelve acute lesions persisted visually at 8 months and the sumLFE was higher in these visually persistent lesions (p<0.05) than in resolved lesions. The sumLFE at month 8 correlated with that in pre-lesional NAWM and in acute lesions (p<0.05) and was independent of lesion volume, signal intensity (SI), and location. This study suggests that PST texture analysis extracts more information about tissue integrity than conventional MRI analysis that relies on lesion size and SI. Texture analysis also appears to identify abnormalities in pre-lesional NAWM, to measure tissue injury in acute lesions, predict poor recovery, and detect mild ongoing tissue injury in chronic T2 lesions. PST texture analysis using conventional MRI may therefore provide valuable new insights into lesion pathology by measuring tissue integrity. This small longitudinal study supports further validation of the PST technique.

Entities:  

Mesh:

Year:  2009        PMID: 19361563     DOI: 10.1016/j.neuroimage.2009.03.075

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 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.  Regional brain tissue integrity in pediatric obstructive sleep apnea.

Authors:  Leila Kheirandish-Gozal; Ashish K Sahib; Paul M Macey; Mona F Philby; David Gozal; Rajesh Kumar
Journal:  Neurosci Lett       Date:  2018-06-05       Impact factor: 3.046

3.  Pilot study: Evaluation of dual-energy computed tomography measurement strategies for positron emission tomography correlation in pancreatic adenocarcinoma.

Authors:  Jorge Oldan; Miao He; Teresa Wu; Alvin C Silva; Jing Li; J Ross Mitchell; William M Pavlicek; Michael C Roarke; Amy K Hara
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

4.  Texture analysis of images using a two-dimensional fast time-frequency transform.

Authors:  Chun Hing Cheng; Pyari Mohan Pradhan; Joseph Ross Mitchell
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-21

5.  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

6.  Radiomic analysis of the optic nerve at the first episode of acute optic neuritis: an indicator of optic nerve pathology and a predictor of visual recovery?

Authors:  Michaela Cellina; Marta Pirovano; Matteo Ciocca; Daniele Gibelli; Chiara Floridi; Giancarlo Oliva
Journal:  Radiol Med       Date:  2021-01-03       Impact factor: 3.469

7.  Corticospinal tract degeneration in ALS unmasked in T1-weighted images using texture analysis.

Authors:  Abdullah Ishaque; Dennell Mah; Peter Seres; Collin Luk; Wendy Johnston; Sneha Chenji; Christian Beaulieu; Yee-Hong Yang; Sanjay Kalra
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

8.  MRI texture analysis in multiple sclerosis.

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

9.  MRI texture heterogeneity in the optic nerve predicts visual recovery after acute optic neuritis.

Authors:  Yunyan Zhang; Luanne M Metz; James N Scott; Jessie Trufyn; Gordon H Fick; Fiona Costello
Journal:  Neuroimage Clin       Date:  2014-01-14       Impact factor: 4.881

10.  Characterization of microcirculation in multiple sclerosis lesions by dynamic texture parameter analysis (DTPA).

Authors:  Rajeev Kumar Verma; Johannes Slotboom; Mirjam Rachel Heldner; Mirjam Rahel Heldner; Frauke Kellner-Weldon; Raimund Kottke; Christoph Ozdoba; Christian Weisstanner; Christian Philipp Kamm; Roland Wiest
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

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