Publication: Diagnostic performance of advanced MRI in differentiating high-grade from low-grade gliomas in a setting of routine service.
6
Issued Date
2013-10-01
Resource Type
ISSN
01252208
Other identifier(s)
2-s2.0-84893132376
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of the Medical Association of Thailand = Chotmaihet thangphaet. Vol.96, No.10 (2013), 1365-1373
Suggested Citation
Orasa Chawalparit, Tumtip Sangruchi, Theerapol Witthiwej, Sith Sathornsumetee, Sirion Tritrakarn, Siriwan Piyapittayanan, Prapaluck Chaicharoen, Thanyaporn Direksunthorn, Panida Charnchaowanish Diagnostic performance of advanced MRI in differentiating high-grade from low-grade gliomas in a setting of routine service.. Journal of the Medical Association of Thailand = Chotmaihet thangphaet. Vol.96, No.10 (2013), 1365-1373. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/32129
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Diagnostic performance of advanced MRI in differentiating high-grade from low-grade gliomas in a setting of routine service.
Other Contributor(s)
Abstract
To evaluate the usefulness of advanced MRI techniques in differentiating high-grade (HGG) from low-grade gliomas (LGG). Sixty-four patients with suspected gliomas were prospectively evaluated by conventional and advanced MRI studies including MR spectroscopy (MRS), diffusion tensor imagining (DTI), and dynamic susceptibility contrast (DSC) MRI. The parametric measurements of metabolic profile, cerebral blood volume, flow (CBV, CBF), apparent diffusion coefficient (ADC), fractional anisotropy, and their ratios by internal normalization were analyzed to differentiate LGG from HGG. Histopathologic findings were used as the gold standard. Forty-three cases with pathologically-proven gliomas were included The best discriminating features between HGG and LGG were CBV and CBF of the solid tumoral region (p < 0.05) whereas the minADC/corpus callosum ratio for DTI and the ratio of Cho/Cr for MRS of the solid tumoral region provided the best diagnostic performance (p < 0.05). With a predetermined threshold for each parametric measurement, the combination of all advanced MRI modalities was associated with the best accuracy whereas the combination of DSC MRI and MRS provided the highest specificity. When all parametric measurements were positive, the probability of HGG was 0.889. Comprehensive advanced MRI studies provided better diagnostic performance than using conventional MRI alone in the evaluation of gliomas.