Literature DB >> 21270058

Texture analysis differentiates persistent and transient T1 black holes at acute onset in multiple sclerosis: a preliminary study.

Yunyan Zhang1, Anthony Traboulsee, Yinshan Zhao, Luanne M Metz, David K Li.   

Abstract

BACKGROUND AND
OBJECTIVE: The persistence of new enhancing T1 hypointense lesions (acute black holes, ABHs) in multiple sclerosis (MS) cannot be predicted visually at lesion onset. Texture analysis using the polar Stockwell transform (PST) applied to conventional MR images however shows promise in quantifying tissue injury early. The objective of this study was to explore whether ABHs that persist (pABHs) differ from those that are transient (tABHs) using PST texture analysis.
METHODS: Fifteen ABHs (8 pABHs; 7 tABHs) from 9 patients were analyzed on 3T images obtained during a clinical trial. Persistence was defined as remaining T1 hypointense 5-8 months later. NAWM regions were examined to control for changes unrelated to ABHs.
RESULTS: At first appearance, there was higher coarse texture indicating greater tissue damage in the pABHs than in the tABHs (p<0.01). Both had greater coarse texture than the contralateral and general NAWM (p≤0.01). No difference was identified in normalized signal intensity between pABHs and tABHs and neither demonstrated location preference. While tABHs tended to be smaller than pABHs there was no correlation between lesion size and texture (r=0.44, p>0.05). Furthermore, coarse texture content appeared to predict persistence of individual lesions.
CONCLUSIONS: This preliminary study suggests that PST texture could predict persistence of tissue injury based on the severity of structural disorganization within acute lesions. While confirmation of this data is required texture analysis may prove to be a valuable tool to quantify tissue damage and predict recovery in proof-of-concept neuroprotection and repair trials.

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Year:  2011        PMID: 21270058     DOI: 10.1177/1352458510395981

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  7 in total

1.  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

2.  Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Authors:  Natalia Nowaczyk; Alicja Kalinowska-Łyszczarz; Włodzimierz Paprzycki; Sławomir Michalak; Radosław Kaźmierski; Mikołaj A Pawlak
Journal:  Neurol Neurochir Pol       Date:  2019-02-11       Impact factor: 1.621

3.  MRI texture analysis in multiple sclerosis.

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

4.  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

5.  An MRI-defined measure of cerebral lesion severity to assess therapeutic effects in multiple sclerosis.

Authors:  Gloria Kim; Shahamat Tauhid; Sheena L Dupuy; Subhash Tummala; Fariha Khalid; Brian C Healy; Rohit Bakshi
Journal:  J Neurol       Date:  2016-01-11       Impact factor: 4.849

6.  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

Review 7.  Understanding disease processes in multiple sclerosis through magnetic resonance imaging studies in animal models.

Authors:  Nabeela Nathoo; V Wee Yong; Jeff F Dunn
Journal:  Neuroimage Clin       Date:  2014-04-24       Impact factor: 4.881

  7 in total

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