Analysis of normal-appearing white matter of multiple sclerosis by tensor-based two-compartment model of water diffusionReport as inadecuate




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European Radiology

, Volume 25, Issue 6, pp 1701–1707

First Online: 11 January 2015Received: 28 October 2014Revised: 02 December 2014Accepted: 15 December 2014

Abstract

ObjectivesTo compare the significance of the two-compartment model, considering diffusional anisotropy with conventional diffusion analyzing methods regarding the detection of occult changes in normal-appearing white matter NAWM of multiple sclerosis MS.

MethodsDiffusion-weighted images nine b-values with six directions were acquired from 12 healthy female volunteers 22–52 years old, median 33 years and 13 female MS patients 24–48 years old, median 37 years. Diffusion parameters based on the two-compartment model of water diffusion considering diffusional anisotropy was calculated by a proposed method. Other parameters including diffusion tensor imaging and conventional apparent diffusion coefficient ADC were also obtained. They were compared statistically between the control and MS groups.

ResultsDiffusion of the slow diffusion compartment in the radial direction of neuron fibers was elevated in MS patients 0.121 × 10 mm2-s in comparison to control 0.100 × 10 mm-s, the difference being significant P = 0.001. The difference between the groups was not significant in other comparisons, including conventional ADC and fractional anisotropy FA of diffusion tensor imaging.

ConclusionThe proposed method was applicable to clinically acceptable small data. The parameters obtained by this method improved the detectability of occult changes in NAWM compared to the conventional methods.

Key Points• Water diffusion was compared between the controls and multiple sclerosis patients.

• A two-compartment model, considering diffusional anisotropy was selected for water diffusion analysis.

• Axial and radial diffusion of fast and slow diffusion components were evaluated.

• A new method was developed to obtain the metrics stably.

• The metrics indicated high detectability of slight differences between the groups.

KeywordsMultiple sclerosis Diffusion tensor imaging Brain Magnetic resonance imaging Computer-assisted image processing AbbreviationsMSMultiple sclerosis

ADCApparent diffusion coefficient

NAWMNormal-appearing white matter

DfDiffusion coefficient of the fast diffusion compartment

DsDiffusion coefficient of the slow diffusion compartment

fsFraction of the slow diffusion compartment

DTIDiffusion tensor imaging

MPGMotion probing gradient

DWIDiffusion-weighted imaging

EPIEcho planar imaging

ROIRegion of interest

CSFCerebrospinal fluid

FAFractional anisotropy of diffusion

eDWIEstimated diffusion-weighted image

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Author: Yasuhiko Tachibana - Takayuki Obata - Mariko Yoshida - Masaaki Hori - Koji Kamagata - Michimasa Suzuki - Issei Fukunaga - K

Source: https://link.springer.com/



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