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Glioma grade discrimination with dynamic contrast-enhanced MRI: An accurate analysis based on MRI guided stereotactic biopsy.

Authors :
Wu, Juan
Liang, Zonghui
Deng, Xiaofei
Xi, Yan
Feng, Xiaoyuan
Yao, Zhenwei
Shu, Zheng
Xie, Qian
Source :
Magnetic Resonance Imaging (0730725X). Jun2023, Vol. 99, p91-97. 7p.
Publication Year :
2023

Abstract

To evaluate the diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) metrics for glioma grading on a point-to-point basis. Forty patients with treatment-naïve glioma underwent DCE-MR examination and stereotactic biopsy. DCE-derived parameters including endothelial transfer constant (K trans ), volume of extravascular-extracellular space (v e), fractional plasma volume (f p v), and reflux transfer rate (k ep) were measured within ROIs on DCE maps accurately matched with biopsies used for histologic grades diagnosis. Differences in parameters between grades were evaluated by Kruskal-Wallis tests. Diagnostic accuracy of each parameter and their combination was assessed using receiver operating characteristic curve. Eighty-four independent biopsy samples from 40 patients were analyzed in our study. Significant statistical differences in K trans and v e were observed between grades except v e between grade 2 and 3. K trans showed good to excellent accuracy in discriminating grade 2 from 3, 3 from 4, and 2 from 4 (area under the curve = 0.802, 0.801 and 0.971, respectively). V e indicated good accuracy in discriminating grade 3 from 4 and 2 from 4 (AUC = 0.874 and 0.899, respectively). The combined parameter demonstrated fair to excellent accuracy in discriminating grade 2 from 3, 3 from 4, and 2 from 4 (AUC = 0.794, 0.899 and 0.982, respectively). Our study had identified K trans , v e and the combination of parameters to be an accurate predictor for grading glioma. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0730725X
Volume :
99
Database :
Academic Search Index
Journal :
Magnetic Resonance Imaging (0730725X)
Publication Type :
Academic Journal
Accession number :
162209244
Full Text :
https://doi.org/10.1016/j.mri.2023.02.003