Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition

K. Srinivasan, B. Thomas, D. Shah, S.K. Kannath, G. Menon, S. Sandhyamani, C. Kesavadas, T.R. Kapilamoorthy

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Purpose To quantitatively evaluate the diffusion tensor metrics p, q, L and fractional anisotropy in intracranial epidermoids in comparison with normal white matter in the splenium of the corpus callosum. Methods This retrospective study included 20 consecutive patients referred to our institute. All patients had a magnetic resonance imaging (MRI) study on a 1.5-Tesla MR system. A spin-echo echo-planar DTI sequence with diffusion gradients along 30 non-collinear directions was performed. The eigen values (λ1, λ2, λ3) were computed for each voxel and, using p: q tensor decomposition, the DTI metrics p, q and L-values and fractional anositropy (FA) were calculated. The region of interest (ROI) (6 pixels each) was placed within the lesion in all the cases and in the splenium of the corpus callosum. Results The mean FA in the lesion and splenium were 0.50 and 0.88 respectively, with a statistically significant difference between them (P < 0.01). On p: q tensor decomposition, the mean p-value in the epidermoid was 1.55 ± 0.24 and 1.35 ± 0.20 in the splenium; the mean q-values in the epidermoid was 0.67 ± 0.13 and 1.27 ± 0.17 in the splenium; the differences were statistically significant (P = 0.01 and < 0.01 respectively). The significant difference between p- and q-values in epidermoids compared with the splenium of callosum was probably due to structural and orientation differences in the keratin flakes in epidermoids and white matter bundles in the callosum. However, no significant statistical difference in L-values was noted (P = 0.44). Conclusion DTI metrics p and q have the potential to quantify the diffusion and anisotropy in various tissues thereby gaining information about their internal architecture. The results also suggest that significant differences of DTI metrics p and q between epidermoid and the splenium of the corpus callosum are due to the difference in structural organization within them. © 2016
Original languageEnglish
Pages (from-to)363-370
Number of pages8
JournalJournal of Neuroradiology
Volume43
Issue number6
DOIs
Publication statusPublished - 2016

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Corpus Callosum
Anisotropy
Keratins
Retrospective Studies
Magnetic Resonance Imaging
White Matter

Cite this

Srinivasan, K. ; Thomas, B. ; Shah, D. ; Kannath, S.K. ; Menon, G. ; Sandhyamani, S. ; Kesavadas, C. ; Kapilamoorthy, T.R. / Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition. In: Journal of Neuroradiology. 2016 ; Vol. 43, No. 6. pp. 363-370.
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title = "Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition",
abstract = "Purpose To quantitatively evaluate the diffusion tensor metrics p, q, L and fractional anisotropy in intracranial epidermoids in comparison with normal white matter in the splenium of the corpus callosum. Methods This retrospective study included 20 consecutive patients referred to our institute. All patients had a magnetic resonance imaging (MRI) study on a 1.5-Tesla MR system. A spin-echo echo-planar DTI sequence with diffusion gradients along 30 non-collinear directions was performed. The eigen values (λ1, λ2, λ3) were computed for each voxel and, using p: q tensor decomposition, the DTI metrics p, q and L-values and fractional anositropy (FA) were calculated. The region of interest (ROI) (6 pixels each) was placed within the lesion in all the cases and in the splenium of the corpus callosum. Results The mean FA in the lesion and splenium were 0.50 and 0.88 respectively, with a statistically significant difference between them (P < 0.01). On p: q tensor decomposition, the mean p-value in the epidermoid was 1.55 ± 0.24 and 1.35 ± 0.20 in the splenium; the mean q-values in the epidermoid was 0.67 ± 0.13 and 1.27 ± 0.17 in the splenium; the differences were statistically significant (P = 0.01 and < 0.01 respectively). The significant difference between p- and q-values in epidermoids compared with the splenium of callosum was probably due to structural and orientation differences in the keratin flakes in epidermoids and white matter bundles in the callosum. However, no significant statistical difference in L-values was noted (P = 0.44). Conclusion DTI metrics p and q have the potential to quantify the diffusion and anisotropy in various tissues thereby gaining information about their internal architecture. The results also suggest that significant differences of DTI metrics p and q between epidermoid and the splenium of the corpus callosum are due to the difference in structural organization within them. {\circledC} 2016",
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Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition. / Srinivasan, K.; Thomas, B.; Shah, D.; Kannath, S.K.; Menon, G.; Sandhyamani, S.; Kesavadas, C.; Kapilamoorthy, T.R.

In: Journal of Neuroradiology, Vol. 43, No. 6, 2016, p. 363-370.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition

AU - Srinivasan, K.

AU - Thomas, B.

AU - Shah, D.

AU - Kannath, S.K.

AU - Menon, G.

AU - Sandhyamani, S.

AU - Kesavadas, C.

AU - Kapilamoorthy, T.R.

N1 - cited By 1

PY - 2016

Y1 - 2016

N2 - Purpose To quantitatively evaluate the diffusion tensor metrics p, q, L and fractional anisotropy in intracranial epidermoids in comparison with normal white matter in the splenium of the corpus callosum. Methods This retrospective study included 20 consecutive patients referred to our institute. All patients had a magnetic resonance imaging (MRI) study on a 1.5-Tesla MR system. A spin-echo echo-planar DTI sequence with diffusion gradients along 30 non-collinear directions was performed. The eigen values (λ1, λ2, λ3) were computed for each voxel and, using p: q tensor decomposition, the DTI metrics p, q and L-values and fractional anositropy (FA) were calculated. The region of interest (ROI) (6 pixels each) was placed within the lesion in all the cases and in the splenium of the corpus callosum. Results The mean FA in the lesion and splenium were 0.50 and 0.88 respectively, with a statistically significant difference between them (P < 0.01). On p: q tensor decomposition, the mean p-value in the epidermoid was 1.55 ± 0.24 and 1.35 ± 0.20 in the splenium; the mean q-values in the epidermoid was 0.67 ± 0.13 and 1.27 ± 0.17 in the splenium; the differences were statistically significant (P = 0.01 and < 0.01 respectively). The significant difference between p- and q-values in epidermoids compared with the splenium of callosum was probably due to structural and orientation differences in the keratin flakes in epidermoids and white matter bundles in the callosum. However, no significant statistical difference in L-values was noted (P = 0.44). Conclusion DTI metrics p and q have the potential to quantify the diffusion and anisotropy in various tissues thereby gaining information about their internal architecture. The results also suggest that significant differences of DTI metrics p and q between epidermoid and the splenium of the corpus callosum are due to the difference in structural organization within them. © 2016

AB - Purpose To quantitatively evaluate the diffusion tensor metrics p, q, L and fractional anisotropy in intracranial epidermoids in comparison with normal white matter in the splenium of the corpus callosum. Methods This retrospective study included 20 consecutive patients referred to our institute. All patients had a magnetic resonance imaging (MRI) study on a 1.5-Tesla MR system. A spin-echo echo-planar DTI sequence with diffusion gradients along 30 non-collinear directions was performed. The eigen values (λ1, λ2, λ3) were computed for each voxel and, using p: q tensor decomposition, the DTI metrics p, q and L-values and fractional anositropy (FA) were calculated. The region of interest (ROI) (6 pixels each) was placed within the lesion in all the cases and in the splenium of the corpus callosum. Results The mean FA in the lesion and splenium were 0.50 and 0.88 respectively, with a statistically significant difference between them (P < 0.01). On p: q tensor decomposition, the mean p-value in the epidermoid was 1.55 ± 0.24 and 1.35 ± 0.20 in the splenium; the mean q-values in the epidermoid was 0.67 ± 0.13 and 1.27 ± 0.17 in the splenium; the differences were statistically significant (P = 0.01 and < 0.01 respectively). The significant difference between p- and q-values in epidermoids compared with the splenium of callosum was probably due to structural and orientation differences in the keratin flakes in epidermoids and white matter bundles in the callosum. However, no significant statistical difference in L-values was noted (P = 0.44). Conclusion DTI metrics p and q have the potential to quantify the diffusion and anisotropy in various tissues thereby gaining information about their internal architecture. The results also suggest that significant differences of DTI metrics p and q between epidermoid and the splenium of the corpus callosum are due to the difference in structural organization within them. © 2016

U2 - 10.1016/j.neurad.2016.02.003

DO - 10.1016/j.neurad.2016.02.003

M3 - Article

VL - 43

SP - 363

EP - 370

JO - Journal of Neuroradiology

JF - Journal of Neuroradiology

SN - 0150-9861

IS - 6

ER -