Characterization of Enhancing MS Lesions by Dynamic Texture Parameter Analysis of Dynamic Susceptibility Perfusion Imaging

Verma, Rajeev Kumar; Slotboom, Johannes; Locher, Cäcilia; Heldner, Mirjam Rachel; Weisstanner, Christian; Abela, Eugenio; Kellner-Weldon, Frauke; Zbinden, Martin; Kamm, Christian Philipp; Wiest, Roland (2016). Characterization of Enhancing MS Lesions by Dynamic Texture Parameter Analysis of Dynamic Susceptibility Perfusion Imaging. BioMed research international, 2016, p. 9578139. Hindawi Publishing Corporation 10.1155/2016/9578139

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Purpose. The purpose of this study was to investigate statistical differences with MR perfusion imaging features that reflect the dynamics of Gadolinium-uptake in MS lesions using dynamic texture parameter analysis (DTPA). Methods. We investigated 51 MS lesions (25 enhancing, 26 nonenhancing lesions) of 12 patients. Enhancing lesions () were prestratified into enhancing lesions with increased permeability (EL+; ) and enhancing lesions with subtle permeability (EL−; ). Histogram-based feature maps were computed from the raw DSC-image time series and the corresponding texture parameters were analyzed during the inflow, outflow, and reperfusion time intervals. Results. Significant differences () were found between EL+ and EL− and between EL+ and nonenhancing inactive lesions (NEL). Main effects between EL+ versus EL− and EL+ versus NEL were observed during reperfusion (mainly in mean and standard deviation (SD): EL+ versus EL− and EL+ versus NEL), while EL− and NEL differed only in their SD during outflow. Conclusion. DTPA allows grading enhancing MS lesions according to their perfusion characteristics. Texture parameters of EL− were similar to NEL, while EL+ differed significantly from EL− and NEL. Dynamic texture analysis may thus be further investigated as noninvasive endogenous marker of lesion formation and restoration.

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; Weisstanner, Christian; Abela, Eugenio; Kellner-Weldon, Frauke; Zbinden, Martin; Kamm, Christian Philipp and Wiest, Roland

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

2314-6133

Publisher:

Hindawi Publishing Corporation

Language:

English

Submitter:

Romina Theiler

Date Deposited:

23 Feb 2016 16:45

Last Modified:

16 Aug 2016 13:09

Publisher DOI:

10.1155/2016/9578139

PubMed ID:

26885524

BORIS DOI:

10.7892/boris.77117

URI:

https://boris.unibe.ch/id/eprint/77117

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