Literature DB >> 26481187

Utility of diffusion tensor imaging parameters for diagnosis of hemimegalencephaly.

Tomomi Oikawa1, Yasuko Tatewaki2, Takaki Murata2, Yumiko Kato2, Shunji Mugikura2, Kei Takase2, Shoki Takahashi2.   

Abstract

BACKGROUND: Hemimegalencephaly is a rare hamartomatous entity characterised by enlargement of all or part of the cerebral hemisphere ipsilaterally with cortical dysgenesis, large lateral ventricle and white matter hypertrophy with or without advanced myelination. Although conventional magnetic resonance imaging (MRI) is useful for detecting these diagnostic features, hemimegalencephaly is not always easily distinguished from other entities, especially when hemimegalencephaly shows blurring between the grey and white matter. Diffusion tensor imaging (DTI) is a functional MRI technique commonly used to assess the integrity of white matter. The usefulness of DTI in assessing hemimegalencephaly has not been fully elucidated. In this study, we clarified the characteristics of hemimegalencephaly with regard to DTI and its parameters including fractional anisotropy and apparent diffusion coefficient.
METHODS: Three patients with hemimegalencephaly underwent MRI including DTI. We first visually compared fractional anisotropy mapping and conventional MRI. Next, we quantitatively measured the fractional anisotropy and apparent diffusion coefficient values in the subcortical white matter of the hemisphere with hemimegalencephaly and corresponding normal-appearing contralateral regions and analysed the values using the Mann-Whitney U test.
RESULTS: On fractional anisotropy mapping, we could clearly distinguish the junction of grey and white matter and observed thicker white matter in the hemisphere with hemimegalencephaly, which was unclear on conventional MRI. The white matter in the hemisphere with hemimegalencephaly showed significantly higher fractional anisotropy (P<0.0001) and lower apparent diffusion coefficient (P=0.0022) values than the normal contralateral side.
CONCLUSION: DTI parameters showed salient hemimegalencephaly features and could be useful in its assessment.
© The Author(s) 2015.

Entities:  

Keywords:  Hemimegalencephaly; apparent diffusion coefficient; diffusion tensor imaging; fractional anisotropy; magnetic resonance imaging

Mesh:

Year:  2015        PMID: 26481187      PMCID: PMC4757140          DOI: 10.1177/1971400915609334

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  22 in total

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2.  Correlation of apparent diffusion coefficient and fractional anisotropy values in the developing infant brain.

Authors:  James M Provenzale; Jared Isaacson; Steven Chen; Sandra Stinnett; Chunlei Liu
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3.  Aberrant midsagittal fiber tracts in patients with hemimegalencephaly.

Authors:  N Sato; M Ota; A Yagishita; Y Miki; T Takahashi; Y Adachi; Y Nakata; K Sugai; M Sasaki
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-31       Impact factor: 3.825

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Journal:  Pediatr Radiol       Date:  2005-06-14

5.  Cortical tubers without other stigmata of tuberous sclerosis: imaging and pathological findings.

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7.  In vivo diffusion tensor imaging and histopathology of the fimbria-fornix in temporal lobe epilepsy.

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Authors:  Changfu Piao; Aihong Yu; Kuncheng Li; Yuping Wang; Wen Qin; Sufang Xue
Journal:  Eur J Radiol       Date:  2008-06-06       Impact factor: 3.528

9.  Progressive hemispheric shrinking in hemimegalencephaly: a possible role for seizure-related neuronal loss.

Authors:  Francesca Becherini; Tiziana Pisano; Maura Castagna; Aldo Iannelli; Renzo Guerrini
Journal:  Dev Med Child Neurol       Date:  2008-07       Impact factor: 5.449

10.  Subcortical alterations in tissue microstructure adjacent to focal cortical dysplasia: detection at diffusion-tensor MR imaging by using magnetoencephalographic dipole cluster localization.

Authors:  Elysa Widjaja; Sina Zarei Mahmoodabadi; Hiroshi Otsubo; O Carter Snead; Stephanie Holowka; Sonya Bells; Charles Raybaud
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  1 in total

Review 1.  Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett Syndrome.

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  1 in total

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