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European Radiology
Published in: European Radiology 6/2015

Open Access 01-06-2015 | Neuro

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

Authors: Yasuhiko Tachibana, Takayuki Obata, Mariko Yoshida, Masaaki Hori, Koji Kamagata, Michimasa Suzuki, Issei Fukunaga, Kouhei Kamiya, Kazumasa Yokoyama, Nobutaka Hattori, Tomio Inoue, Shigeki Aoki

Published in: European Radiology | Issue 6/2015

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Abstract

Objectives

To 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).

Methods

Diffusion-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.

Results

Diffusion of the slow diffusion compartment in the radial direction of neuron fibers was elevated in MS patients (0.121 × 10−3 mm2/s) in comparison to control (0.100 × 10−3 mm2/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.

Conclusion

The 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.
Literature
1.
Kutzelnigg A, Lucchinetti CF, Stadelmann C, Bruck W, Rauschka H, Bergmann M et al (2005) Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 128:2705–2712, PubMed PMID: 16230320CrossRefPubMed
2.
Moll NM, Rietsch AM, Thomas S, Ransohoff AJ, Lee JC, Fox R et al (2011) Multiple sclerosis normal-appearing white matter: pathology-imaging correlations. Ann Neurol 70:764–773, PubMed PMID: 22162059; PubMed Central PMCID: PMC3241216CrossRefPubMedCentralPubMed
3.
Yoshida M, Hori M, Yokoyama K, Fukunaga I, Suzuki M, Kamagata K et al (2013) Diffusional kurtosis imaging of normal-appearing white matter in multiple sclerosis: preliminary clinical experience. Jpn J Radiol 31:50–55, PubMed PMID: 23086313CrossRefPubMed
4.
Le Bihan D (2007) The ‘wet mind’: water and functional neuroimaging. Phys Med Biol 52:R57–R90, PubMed PMID: 17374909CrossRefPubMed
5.
Rocca MA, Cercignani M, Iannucci G, Comi G, Filippi M (2000) Weekly diffusion-weighted imaging of normal-appearing white matter in MS. Neurology 55:882–884, PubMed PMID: 10994017CrossRefPubMed
6.
Cercignani M, Iannucci G, Filippi M (1999) Diffusion-weighted imaging in multiple sclerosis. Ital J Neurol Sci 20:S246–S249, PubMed PMID: 10662958CrossRefPubMed
7.
Phuttharak W, Galassi W, Laopaiboon V, Laopaiboon M, Hesselink JR (2007) Abnormal diffusivity of normal appearing brain tissue in multiple sclerosis: a diffusion-weighted MR imaging study. J Med Assoc Thai 90:2689–2694, PubMed PMID: 18386722PubMed
8.
Tachibana Y, Aida N, Niwa T, Nozawa K, Kusagiri K, Mori K et al (2013) Analysis of multiple B-value diffusion-weighted imaging in pediatric acute encephalopathy. PLoS One 8:e63869, PubMed PMID: 23755112; PubMed Central PMCID: PMC3670889CrossRefPubMedCentralPubMed
9.
Clark CA, Le Bihan D (2000) Water diffusion compartmentation and anisotropy at high b values in the human brain. Magn Reson Med 44:852–859, PubMed PMID: 11108621CrossRefPubMed
10.
Maier SE, Vajapeyam S, Mamata H, Westin CF, Jolesz FA, Mulkern RV (2004) Biexponential diffusion tensor analysis of human brain diffusion data. Magn Reson Med 51:321–330, PubMed PMID: 14755658CrossRefPubMed
11.
Brugieres P, Thomas P, Maraval A, Hosseini H, Combes C, Chafiq A et al (2004) Water diffusion compartmentation at high b values in ischemic human brain. AJNR Am J Neuroradiol 25:692–698, PubMed PMID: 15140706PubMed
12.
Grinberg F, Farrher E, Kaffanke J, Oros-Peusquens AM, Shah NJ (2011) Non-Gaussian diffusion in human brain tissue at high b-factors as examined by a combined diffusion kurtosis and biexponential diffusion tensor analysis. NeuroImage 57:1087–1102, PubMed PMID: 21596141CrossRefPubMed
13.
Sijens PE, Irwan R, Potze JH, Mostert JP, De Keyser J, Oudkerk M (2006) Relationships between brain water content and diffusion tensor imaging parameters (apparent diffusion coefficient and fractional anisotropy) in multiple sclerosis. Eur Radiol 16:898–904, PubMed PMID: 16331463CrossRefPubMed
14.
Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302, PubMed PMID: 21387374; PubMed Central PMCID: PMC3084507CrossRefPubMedCentralPubMed
15.
Maier SE, Bogner P, Bajzik G, Mamata H, Mamata Y, Repa I et al (2001) Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging. Radiology 219:842–849, PubMed PMID: 11376280CrossRefPubMed
Metadata
Title
Analysis of normal-appearing white matter of multiple sclerosis by tensor-based two-compartment model of water diffusion
Authors
Yasuhiko Tachibana
Takayuki Obata
Mariko Yoshida
Masaaki Hori
Koji Kamagata
Michimasa Suzuki
Issei Fukunaga
Kouhei Kamiya
Kazumasa Yokoyama
Nobutaka Hattori
Tomio Inoue
Shigeki Aoki
Publication date
01-06-2015
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 6/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-014-3572-4

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