Literature DB >> 24823897

Diffusion tensor imaging for target volume definition in glioblastoma multiforme.

Jatta Berberat1, Jane McNamara, Luca Remonda, Stephan Bodis, Susanne Rogers.   

Abstract

INTRODUCTION: Diffusion tensor imaging (DTI) is an MR-based technique that may better detect the peritumoural region than MRI. Our aim was to explore the feasibility of using DTI for target volume delineation in glioblastoma patients.
MATERIALS AND METHODS: MR tensor tracts and maps of the isotropic (p) and anisotropic (q) components of water diffusion were coregistered with CT in 13 glioblastoma patients. An in-house image processing program was used to analyse water diffusion in each voxel of interest in the region of the tumour. Tumour infiltration was mapped according to validated criteria and contralateral normal brain was used as an internal control. A clinical target volume (CTV) was generated based on the T1-weighted image obtained using contrast agent (T1Gd), tractography and the infiltration map. This was compared to a conventional T2-weighted CTV (T2-w CTV).
RESULTS: Definition of a diffusion-based CTV that included the adjacent white matter tracts proved highly feasible. A statistically significant difference was detected between the DTI-CTV and T2-w CTV volumes (p < 0.005, t = 3.480). As the DTI-CTVs were smaller than the T2-w CTVs (tumour plus peritumoural oedema), the pq maps were not simply detecting oedema. Compared to the clinical planning target volume (PTV), the DTI-PTV showed a trend towards volume reduction. These diffusion-based volumes were smaller than conventional volumes, yet still included sites of tumour recurrence.
CONCLUSION: Extending the CTV along the abnormal tensor tracts in order to preserve coverage of the likely routes of dissemination, whilst sparing uninvolved brain, is a rational approach to individualising radiotherapy planning for glioblastoma patients.

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Year:  2014        PMID: 24823897     DOI: 10.1007/s00066-014-0676-3

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


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