Advanced MRI and PET imaging for assessment of treatment response in patients with gliomas

Dhermain, Frederic G. and Hau, Peter and Lanfermann, Heinrich and Jacobs, Andreas H. and van den Bent, Martin (2010) Advanced MRI and PET imaging for assessment of treatment response in patients with gliomas. LANCET NEUROLOGY, 9 (9). pp. 906-920. ISSN 1474-4422, 1474-4465

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Abstract

Imaging techniques are important for accurate diagnosis and follow-up of patients with gliomas. T1-weighted MRI, with or without gadolinium, is the gold standard method. However, this technique only reflects biological activity of the tumour indirectly by detecting the breakdown of the blood brain barrier. Therefore, especially for low-grade glioma or after treatment, T1-weighted MRI enhanced with gadolinium has substantial limitations. Development of more advanced imaging methods to improve outcomes for individual patients is needed. New imaging methods based on Mill and PET can be employed in various stages of disease to target the biological activity of the tumour cells (eg, increased uptake of aminoacids or nucleoside analogues), the changes in diffusivity through the interstitial space (diffusion-weighted MRI), the tumour-induced neovascularisation (perfusion-weighted MRI or contrast-enhanced MRI, or increased uptake of aminoacids in endothelial wall), and the changes in concentrations of metabolites (magnetic resonance spectroscopy). These techniques have advantages and disadvantages, and should be used in conjunction to best help individual patients. Advanced imaging techniques need to be validated in clinical trials to ensure standardisation and evidence-based implementation in routine clinical practice.

Item Type: Article
Uncontrolled Keywords: POSITRON-EMISSION-TOMOGRAPHY; CEREBRAL BLOOD-VOLUME; HIGH-GRADE GLIOMA; MAGNETIC-RESONANCE-SPECTROSCOPY; FUNCTIONAL DIFFUSION MAP; RECURRENT BRAIN-TUMOR; MALIGNANT GLIOMA; RADIATION NECROSIS; C-11-METHIONINE PET; STEREOTACTIC RADIOSURGERY;
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Neurologie
Depositing User: Petra Gürster
Date Deposited: 17 Apr 2020 08:10
Last Modified: 17 Apr 2020 08:10
URI: https://pred.uni-regensburg.de/id/eprint/24268

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