1. Study on the Diagnostic Value of Magnetic Resonance Imaging in Patients with Malignant Glioma
- Author
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Haiyang Li, Daoying Wang, and Jingjing Niu
- Subjects
medicine.diagnostic_test ,business.industry ,Health Informatics ,Magnetic resonance imaging ,medicine.disease ,nervous system diseases ,Nuclear magnetic resonance ,nervous system ,Glioma ,mental disorders ,medicine ,Radiology, Nuclear Medicine and imaging ,In patient ,business ,Value (mathematics) - Abstract
Objective: To explore the value of multi-voxel-based monomer 1H-MRS (magnetic resonance imaging) in the classification of gliomas. Methods: 26 gliomas confirmed by surgery and pathology were examined by conventional MRI, multi-voxel 2D, and monomer 1H-MRS before surgery. Three types of regions of interest (ROI) were used to measure Cho/NAA (Choline hydroxide solution/N-acetyl aspartic acid) values in the tumor. Methods: In the multi-voxel 2D hydrogen proton spectrum, the solid part of the tumor or the most intensive region of the tumor was selected to determine the Cho/NAA value. At the same time, in the multi-voxel 2D hydrogen proton spectrum, the Fun/tool spectra's copy-2DBmin analysis software was used to obtain the Cho/NAA value distribution. Anatomically superimposed the pseudo-color image, and measure the Cho/NAA value in its largest Cho/NAA value region. In addition, based on the level set algorithm, it uses the Otsu algorithm to initially locate the edema area and provide the initial contour. Results: The Cho/NAA values measured by the ROI selection method were statistically significant, and the sensitivity and specificity of judging the benign and malignant gliomas indicated that Method 3 had the highest diagnostic value. Conclusion: Multi-voxel-based monomeric 1H-MRS magnetic resonance imaging has the highest value in guiding glioma classification and can improve the accuracy of glioma classification.
- Published
- 2021
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