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

Verma, Rajeev Kumar; Slotboom, Johannes; Heldner, Mirjam Rachel; Kellner-Weldon, Frauke; Kottke, Raimund; Ozdoba, Christoph; Weisstanner, Christian; Kamm, Christian Philipp; Wiest, Roland (2013). Characterization of microcirculation in multiple sclerosis lesions by dynamic texture parameter analysis (DTPA). PLoS ONE, 8(7), e67610. Public Library of Science 10.1371/journal.pone.0067610

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OBJECTIVE Texture analysis is an alternative method to quantitatively assess MR-images. In this study, we introduce dynamic texture parameter analysis (DTPA), a novel technique to investigate the temporal evolution of texture parameters using dynamic susceptibility contrast enhanced (DSCE) imaging. Here, we aim to introduce the method and its application on enhancing lesions (EL), non-enhancing lesions (NEL) and normal appearing white matter (NAWM) in multiple sclerosis (MS). METHODS We investigated 18 patients with MS and clinical isolated syndrome (CIS), according to the 2010 McDonald's criteria using DSCE imaging at different field strengths (1.5 and 3 Tesla). Tissues of interest (TOIs) were defined within 27 EL, 29 NEL and 37 NAWM areas after normalization and eight histogram-based texture parameter maps (TPMs) were computed. TPMs quantify the heterogeneity of the TOI. For every TOI, the average, variance, skewness, kurtosis and variance-of-the-variance statistical parameters were calculated. These TOI parameters were further analyzed using one-way ANOVA followed by multiple Wilcoxon sum rank testing corrected for multiple comparisons. RESULTS Tissue- and time-dependent differences were observed in the dynamics of computed texture parameters. Sixteen parameters discriminated between EL, NEL and NAWM (pAVG = 0.0005). Significant differences in the DTPA texture maps were found during inflow (52 parameters), outflow (40 parameters) and reperfusion (62 parameters). The strongest discriminators among the TPMs were observed in the variance-related parameters, while skewness and kurtosis TPMs were in general less sensitive to detect differences between the tissues. CONCLUSION DTPA of DSCE image time series revealed characteristic time responses for ELs, NELs and NAWM. This may be further used for a refined quantitative grading of MS lesions during their evolution from acute to chronic state. DTPA discriminates lesions beyond features of enhancement or T2-hypersignal, on a numeric scale allowing for a more subtle grading of MS-lesions.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Verma, Rajeev Kumar; Slotboom, Johannes; Heldner, Mirjam Rachel; Kellner-Weldon, Frauke; Kottke, Raimund; Ozdoba, Christoph; Weisstanner, Christian; Kamm, Christian Philipp and Wiest, Roland

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1932-6203

Publisher:

Public Library of Science

Language:

English

Submitter:

Martin Zbinden

Date Deposited:

10 Jun 2014 14:54

Last Modified:

07 Aug 2017 08:41

Publisher DOI:

10.1371/journal.pone.0067610

PubMed ID:

23874432

BORIS DOI:

10.7892/boris.48081

URI:

https://boris.unibe.ch/id/eprint/48081

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