BACKGROUND AND PURPOSE: The efficacy of radiation therapy, the mainstay of treatment for malignant gliomas, is limited by our inability to accurately determine tumor margins. As a result, despite recent advances, the prognosis remains appalling. Because gliomas preferentially infiltrate along white matter tracks, methods that show white matter disruption should improve this delineation. In this study, results of histologic examination from samples obtained from image-guided brain biopsies were correlated with diffusion tensor images. METHODS: Twenty patients requiring image-guided biopsies for presumed gliomas were imaged preoperatively. Patients underwent image-guided biopsies with multiple biopsies taken along a single track that went into normal-appearing brain. Regions of interest were determined from the sites of the biopsies, and diffusion tensor imaging findings were compared with glioma histology. RESULTS: Using diffusion tissue signatures, it was possible to differentiate gross tumor (reduction of the anisotropic component, q > 12% from contralateral region), from tumor infiltration (increase in the isotropic component, p > 10% from contralateral region). This technique has a sensitivity of 98% and specificity of 81%. T2-weighted abnormalities failed to identify the margin in half of all specimens. CONCLUSION: Diffusion tensor imaging can better delineate the tumor margin in gliomas. Such techniques can improve the delineation of the radiation therapy target volume for gliomas and potentially can direct local therapies for tumor infiltration.
BACKGROUND AND PURPOSE: The efficacy of radiation therapy, the mainstay of treatment for malignant gliomas, is limited by our inability to accurately determine tumor margins. As a result, despite recent advances, the prognosis remains appalling. Because gliomas preferentially infiltrate along white matter tracks, methods that show white matter disruption should improve this delineation. In this study, results of histologic examination from samples obtained from image-guided brain biopsies were correlated with diffusion tensor images. METHODS: Twenty patients requiring image-guided biopsies for presumed gliomas were imaged preoperatively. Patients underwent image-guided biopsies with multiple biopsies taken along a single track that went into normal-appearing brain. Regions of interest were determined from the sites of the biopsies, and diffusion tensor imaging findings were compared with glioma histology. RESULTS: Using diffusion tissue signatures, it was possible to differentiate gross tumor (reduction of the anisotropic component, q > 12% from contralateral region), from tumor infiltration (increase in the isotropic component, p > 10% from contralateral region). This technique has a sensitivity of 98% and specificity of 81%. T2-weighted abnormalities failed to identify the margin in half of all specimens. CONCLUSION: Diffusion tensor imaging can better delineate the tumor margin in gliomas. Such techniques can improve the delineation of the radiation therapy target volume for gliomas and potentially can direct local therapies for tumor infiltration.
Authors: M M Fitzek; A F Thornton; J D Rabinov; M H Lev; F S Pardo; J E Munzenrider; P Okunieff; M Bussière; I Braun; F H Hochberg; E T Hedley-Whyte; N J Liebsch; G R Harsh Journal: J Neurosurg Date: 1999-08 Impact factor: 5.115
Authors: June L Chan; Susan W Lee; Benedick A Fraass; Daniel P Normolle; Harry S Greenberg; Larry R Junck; Stephen S Gebarski; Howard M Sandler Journal: J Clin Oncol Date: 2002-03-15 Impact factor: 44.544
Authors: M D Walker; E Alexander; W E Hunt; C S MacCarty; M S Mahaley; J Mealey; H A Norrell; G Owens; J Ransohoff; C B Wilson; E A Gehan; T A Strike Journal: J Neurosurg Date: 1978-09 Impact factor: 5.115
Authors: R Jena; S J Price; C Baker; S J Jefferies; J D Pickard; J H Gillard; N G Burnet Journal: Clin Oncol (R Coll Radiol) Date: 2005-12 Impact factor: 4.126
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Authors: Giancarlo D'Andrea; Albina Angelini; Andrea Romano; Antonio Di Lauro; Giovanni Sessa; Alessandro Bozzao; Luigi Ferrante Journal: Neurosurg Rev Date: 2012-02-28 Impact factor: 3.042
Authors: Michael Lundemann; Per Munck Af Rosenschöld; Aida Muhic; Vibeke A Larsen; Hans S Poulsen; Svend-Aage Engelholm; Flemming L Andersen; Andreas Kjær; Henrik B W Larsson; Ian Law; Adam E Hansen Journal: Eur J Nucl Med Mol Imaging Date: 2018-10-02 Impact factor: 9.236