Role of Quantitative Apparent Diffusion Coefficient in Predicting Genetic Subtypes of Gliomas
Introduction: Magnetic resonance morphologic features are widely used in characterising gliomas for predicting grades and thereby aiding in preoperative management planning. We aim to find out if Magnetic Resonance Imaging (MRI) morphologic characters and quantitative apparent diffusion coefficient...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NESON
2020-11-01
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| Series: | Nepal Journal of Neuroscience |
| Subjects: | |
| Online Access: | https://www.nepjol.info/index.php/NJN/article/view/33115 |