Literature DB >> 17518394

Detection of tumour infiltration in axonal fibre bundles using diffusion tensor imaging.

M Schlüter1, B Stieltjes, H K Hahn, J Rexilius, O Konrad-verse, H-o Peitgen.   

Abstract

We present a method for the detection and quantification of white matter infiltration from human brain tumours based on Diffusion Tensor Imaging (DTI). Since white matter destruction alters the local diffusion properties, DTI has the potential to sensitively detect tumour infiltration and to quantify the degree thereof. Here, we consider three tumour patients with gliomas, two with and one without contralateral tumour progress. We use DTI to identify specific fibre systems, where infiltration has to be assessed. On this basis, the problem of arbitrary region of interest definition is solved such that tumour infiltration can be reliably quantified in particular fibre bundles. It is demonstrated at the Corpus Callosum (CC) and the Pyramidal Tract (PT) that fibre bundle infiltration can be well detected by specific visualisation techniques of diffusion tensor data. Infiltration of the CC is quantified by using a reliable method for the determination of diffusion properties inside particular fibre bundles. For an age normalised quantification of white matter infiltration we introduce the Integrity Index, which measures the diffusion anisotropy inside an infiltrated fibre bundle normalised by the diffusion anisotropy in a specific region of healthy fibre tissue. It turns out that the quantification of CC infiltration correlates with contralateral tumour progression and has the potential to serve as a surrogate marker for this process, which is crucial for surgical therapy decisions and intervention planning. Copyright 2005 John Wiley & Sons, Ltd.

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Mesh:

Year:  2005        PMID: 17518394     DOI: 10.1002/rcs.31

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  8 in total

1.  The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas.

Authors:  Jun Guo; Chengjun Yao; Hong Chen; Dongxiao Zhuang; Weijun Tang; Guang Ren; Yin Wang; Jinsong Wu; Fengping Huang; Liangfu Zhou
Journal:  Acta Neurochir (Wien)       Date:  2012-06-23       Impact factor: 2.216

2.  Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model.

Authors:  S K Schimrigk; B Bellenberg; M Schlüter; B Stieltjes; R Drescher; J Rexilius; C Lukas; H K Hahn; H Przuntek; O Köster
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

3.  Diffusion-weighted imaging-based probabilistic segmentation of high- and low-proliferative areas in high-grade gliomas.

Authors:  Dirk Simon; Klaus H Fritzsche; Christian Thieke; Jan Klein; Peter Parzer; Marc-André Weber; Bram Stieltjes
Journal:  Cancer Imaging       Date:  2012-04-05       Impact factor: 3.909

4.  Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Authors:  Rika Inano; Naoya Oishi; Takeharu Kunieda; Yoshiki Arakawa; Yukihiro Yamao; Sumiya Shibata; Takayuki Kikuchi; Hidenao Fukuyama; Susumu Miyamoto
Journal:  Neuroimage Clin       Date:  2014-08-07       Impact factor: 4.881

5.  White Matter Change Revealed by Diffusion Tensor Imaging in Gliomas.

Authors:  Young Il Won; Chun Kee Chung; Chi Heon Kim; Chul-Kee Park; Bang-Bon Koo; Jong-Min Lee; Hee-Won Jung
Journal:  Brain Tumor Res Treat       Date:  2016-10-31

6.  A novel radiological classification system for cerebral gliomas: The Brain-Grid.

Authors:  Francesco Latini; Markus Fahlström; Shala G Berntsson; Elna-Marie Larsson; Anja Smits; Mats Ryttlefors
Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

7.  Glioma infiltration of the corpus callosum: early signs detected by DTI.

Authors:  K Kallenberg; T Goldmann; J Menke; H Strik; H C Bock; F Stockhammer; J H Buhk; J Frahm; P Dechent; M Knauth
Journal:  J Neurooncol       Date:  2013-01-24       Impact factor: 4.130

8.  Optimal Factors of Diffusion Tensor Imaging Predicting Corticospinal Tract Injury in Patients with Brain Tumors.

Authors:  Zhi-Gang Min; Chen Niu; Qiu-Li Zhang; Ming Zhang; Yu-Cheng Qian
Journal:  Korean J Radiol       Date:  2017-07-17       Impact factor: 3.500

  8 in total

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