Diffusion tensor mode in imaging of intracranial epidermoid cysts: one step ahead of fractional anisotropy

Jolapara, Milan; Kesavadas, Chandrasekharan; Radhakrishnan, V. V.; Saini, Jitender; Patro, Satya Narayan; Gupta, Arun Kumar; Kapilamoorthy, Tirur Raman; Bodhey, Narendra Kuber

doi:10.1007/s00234-008-0464-9

Cited by 24 publications

(15 citation statements)

References 19 publications

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“…As observed in the present study, Zhang et al 33 reported decreased CL in brain metastases. Tensor shape measurements have also been used to differentiate subtypes of meningiomas, 38,39 to distinguish true from pseudo-WM tracts inside abscess cavities, 40 and to characterize epidermoid cysts 41,42 and brain tuberculomas. 43 In a previous study, we demonstrated elevated FA, CL, and CP from the ER of glioblastomas in comparison with brain metastases.…”

Section: Shape Of Diffusion Tensor In Brain Tumorsmentioning

confidence: 99%

Differentiation between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging

Wang

Kim²,

Chawla³

et al. 2011

AJNR Am J Neuroradiol

166

149

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Section: Shape Of Diffusion Tensor In Brain Tumorsmentioning

confidence: 99%

Differentiation between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging

Wang

Kim²,

Chawla³

et al. 2011

AJNR Am J Neuroradiol

166

149

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“…Despite the advantage of using sets of orthogonal invariants (K i or R i ), there is a tremendous volume of literature that analyzes DT-MRI data by evaluating the tensor trace ðK 1 Þ and FA ðR 2 Þ, which has given rise to a body of knowledge and expectation about the values of these invariants and how they are altered by disease (Sotak, 2002;Thomalla et al, 2004;Jolapara et al, 2009). Note that K 1 is not orthogonal to R 2 (see Ennis and Kindlmann (2006)).…”

Section: Non-orthogonal Tensor Invariant Setmentioning

confidence: 99%

The effects of noise over the complete space of diffusion tensor shape

Gahm

Kindlmann

Ennis

2014

Medical Image Analysis

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“…Histological examination of the tumor confirmed the structured parallel orientation of internal contents. A very recent study published during the review process of this article has shown that a "tensor mode value" approaching -1 also suggests diffusion along a geometric plane (23).…”

Section: Discussionmentioning

confidence: 90%

Diffusion tensor and tensor metrics imaging in intracranial epidermoid cysts

Kannath

Radhakrishnan

Saini

et al. 2009

Magnetic Resonance Imaging

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Purpose:To explore the utility of diffusion tensor imaging (DTI) and diffusion tensor metrics (DTM) in characterizing the structural pathology of epidermoid cysts. DTI gives information about the tissue structure; a high fractional anisotropy (FA) indicates a highly structured orientation of the tissue, fibers, or white matter tracts. Based on the tensor rank, a set of three metrics has been described that can be used to measure the directional dependence of diffusion: linear anisotropy (CL), planar anisotropy (CP), and spherical anisotropy (CS). DTM takes into account the shape of diffusion anisotropy and hence may provide better insight into the orientation of structures than FA.Materials and Methods: DTI was performed in three patients with epidermoid cysts. FA, directionally-averaged mean diffusivity (Dav), exponential apparent diffusion coefficient (eADC), and DTM, such as CL, CP, and CS, were measured from the tumor core as well as from the normalappearing white matter. Histopathological correlation was obtained. Results:Epidermoid cysts showed high FA with Dav values similar to that of normal white matter. eADC maps did not show any restriction of diffusion. FA values were high, but not as high as that for the white matter. CP values were higher and CL values were lower than those obtained for the white matter in various regions. Conclusion:High CP values suggest preferential diffusion of water molecules along a two-dimensional geometry, which could be attributed to the well-structured orientation of keratin filaments and flakes within the tumor as demonstrated by histopathology. Advanced imaging modalities like DTI with DTM can provide information regarding the microstructural anatomy of the epidermoid cysts.

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Diffusion tensor mode in imaging of intracranial epidermoid cysts: one step ahead of fractional anisotropy

Abstract: Thus, advanced imaging modalities like DTI with DTM can provide information regarding the microstructural anatomy of the epidermoid cysts.

Cited by 24 publications

References 19 publications

Differentiation between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging

Differentiation between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging

The effects of noise over the complete space of diffusion tensor shape

Diffusion tensor and tensor metrics imaging in intracranial epidermoid cysts

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