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  • 1
    Keywords: brain ; Germany ; human ; THERAPY ; imaging ; QUANTIFICATION ; SYSTEM ; SYSTEMS ; TISSUE ; PATIENT ; MARKER ; tumour ; PROGRESSION ; AGE ; REGION ; WHITE-MATTER ; HEALTHY ; GLIOMAS ; DIFFUSION ; INFILTRATION ; GLIOMA ; DESTRUCTION ; brain tumour ; human brain ; brain turnouts ; CEREBRAL GLIOMAS ; diffusion anisotropy ; Diffusion Tensor Imaging ; neurosurgical planning
    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
    Type of Publication: Journal article published
    PubMed ID: 17518394
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  • 2
    Keywords: brain ; tumor ; Germany ; MODEL ; CLASSIFICATION ; imaging ; QUANTIFICATION ; TOOL ; TUMORS ; PATIENT ; IMPACT ; MRI ; LESIONS ; PARAMETERS ; Jun ; INVOLVEMENT ; DIFFUSION ; INFILTRATION ; RE ; BRAIN-TUMORS ; brain tumors ; PROFILES ; SIGNATURE ; CEREBRAL GLIOMAS ; Diffusion Tensor Imaging ; EXTENT ; corpus callosum ; DTI ; primary brain tumors
    Abstract: Diffusion tensor imaging (DTI) has been advocated as a promising tool for delineation of the extent of tumor infiltration by primary brain tumors. First reports show conflicting results mainly due to difficulties in reproducible determination of DTI-derived parameters. A novel method based on probabilistic voxel classification for a user-independent analysis of DTI-derived parameters is presented and tested in healthy controls and patients with primary brain tumors. The proposed quantification method proved to be highly reproducible both in healthy controls and patients. Fiber integrity in the corpus callosum (CC) was measured using this quantification method, and the profiles of fractional anisotropy (FA) provided additional information of the possible extent of infiltration of primary brain tumors when compared to conventional imaging. This yielded additional information on the nature of ambiguous contralateral lesions in patients with primary brain tumors. The results show that DTI-derived parameters can be determined reproducibly and may have a strong impact on evaluation of contralateral extent of primary brain tumors. (c) 2006 Elsevier Inc. All rights reserved
    Type of Publication: Journal article published
    PubMed ID: 16478665
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