Literature DB >> 18050359

Can we differentiate true white matter fibers from pseudofibers inside a brain abscess cavity using geometrical diffusion tensor imaging metrics?

Manoj Kumar1, Rakesh K Gupta, Kavindra Nath, R K S Rathore, Getaneh Bayu, Richa Trivedi, Mazhar Husain, Kashi N Prasad, R P Tripathi, Ponnada A Narayana.   

Abstract

High fractional anisotropy (FA) usually reflects the orientation and integrity of white matter (WM) fibers. Other regions of increased FA have been described, such as brain abscesses, developing cortex, and areas of hemorrhage. It may not be possible to differentiate true fibers from the pseudofibers found inside an abscess cavity on the basis of FA and mean diffusivity (MD). The aim of this study was to differentiate true WM fibers from pseudo WM tracts inside the abscess cavity using geometrical diffusion tensor imaging metrics [linear anisotropy (CL), planar anisotropy (CP), and spherical anisotropy (CS)]. Diffusion tensor imaging was performed in 42 patients with brain abscess and 10 age/sex-matched controls. Automated segmentation using Java-based software divided the abscess cavity into two sub-regions with FA < 0.20 and FA > or = 0.20. Quantitation was carried out on the sub-regions of the abscess cavity with FA > or = 0.20. In healthy controls, regions of interest were placed on the corpus callosum, posterior limb of the internal capsule, and periventricular and subcortical WM. Significantly increased CP values were observed inside the abscess cavity compared with various normal WM regions. Significantly increased FA and CL values were observed in the abscess cavity compared with subcortical WM only. However decreased FA and CL values were observed in the cavity compared with the corpus callosum, posterior limb of the internal capsule, and periventricular WM. The 95% confidence intervals of means for the abscess cavity were well separated from those for WM in the case of CL and CP; however, they overlapped in the case of FA, MD, and CS. High CP with low CL inside the abscess cavity suggests that the shape of the diffusion tensor is predominantly planar, whereas it is linear in WM tracts. These geometrical indices may have advantages over FA for differentiating true from pseudo WM tracts inside the abscess cavity.

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Year:  2008        PMID: 18050359     DOI: 10.1002/nbm.1228

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  9 in total

1.  Differentiation of brain abscesses from necrotic glioblastomas and cystic metastatic brain tumors with diffusion tensor imaging.

Authors:  C H Toh; K-C Wei; S-H Ng; Y-L Wan; C-P Lin; M Castillo
Journal:  AJNR Am J Neuroradiol       Date:  2011-08-11       Impact factor: 3.825

2.  High-resolution magnetic resonance microscopy and diffusion tensor imaging to assess brain structural abnormalities in the murine mucopolysaccharidosis VII model.

Authors:  Manoj Kumar; Ilya M Nasrallah; Sungheon Kim; Ranjit Ittyerah; Stephen Pickup; Joel Li; Michael K Parente; John H Wolfe; Harish Poptani
Journal:  J Neuropathol Exp Neurol       Date:  2014-01       Impact factor: 3.685

3.  T2*-weighted MR angiography substantially increases the detection of hemorrhage in the wall of brain abscess: implications in clinical interpretation.

Authors:  Rakesh Kumar Gupta; Vaishali Tomar; Rishi Awasthi; Abhishek Yadav; Nuzhat Husain; Vikas Bharadwaj; Bal K Ojha; Sanjay Behari; Kashi N Prasad; Ram Kishore Singh Rathore
Journal:  Neuroradiology       Date:  2011-09-14       Impact factor: 2.804

4.  Differentiation between glioblastomas, solitary brain metastases, and primary cerebral lymphomas using diffusion tensor and dynamic susceptibility contrast-enhanced MR imaging.

Authors:  S Wang; S Kim; S Chawla; R L Wolf; D E Knipp; A Vossough; D M O'Rourke; K D Judy; H Poptani; E R Melhem
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-17       Impact factor: 3.825

5.  Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.

Authors:  Sumei Wang; Sungheon Kim; Sanjeev Chawla; Ronald L Wolf; Wei-Guo Zhang; Donald M O'Rourke; Kevin D Judy; Elias R Melhem; Harish Poptani
Journal:  Neuroimage       Date:  2008-10-07       Impact factor: 6.556

6.  Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas.

Authors:  Lamiaa El-Serougy; Ahmed Abdel Khalek Abdel Razek; Amani Ezzat; Hany Eldawoody; Ahmad El-Morsy
Journal:  Neuroradiol J       Date:  2016-08-25

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

Authors:  Milan Jolapara; Chandrasekharan Kesavadas; V V Radhakrishnan; Jitender Saini; Satya Narayan Patro; Arun Kumar Gupta; Tirur Raman Kapilamoorthy; Narendra Bodhey
Journal:  Neuroradiology       Date:  2008-10-07       Impact factor: 2.804

8.  Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas.

Authors:  Liang Jiang; Chao-Yong Xiao; Quan Xu; Jun Sun; Huiyou Chen; Yu-Chen Chen; Xindao Yin
Journal:  Front Aging Neurosci       Date:  2017-08-08       Impact factor: 5.750

9.  Ribose-induced Maillard Reaction as an Analytical Method for Detection of Adulteration and Differentiation of Chilled and Frozen-thawed Minced Veal.

Authors:  Masoumeh Akbarabadi; Mohammad Mohsenzadeh; Mohammad-Reza Housaindokht
Journal:  Food Sci Anim Resour       Date:  2020-04-30
  9 in total

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