Glioma grading using multiparametric MRI: head-to-head comparison among dynamic susceptibility contrast, dynamic contrast-enhancement, diffusion-weighted images, and MR spectroscopy

•Multiparametric MRI was helpful in differentiating HGGs from LGGs.•Relative CBV is the most helpful parameter in differentiating HGGs from LGGs.•Ktrans may aid in the prediction of the IDH mutational status of diffuse gliomas.•Relative CBV showed significant correlation with Ktrans, Cho/Cr, and ADC...

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Published in:European journal of radiology 2023-08, Vol.165, p.110888-110888, Article 110888
Main Authors: Seo, Minkook, Choi, Yangsean, Soo Lee, Youn, Ahn, Kook-Jin, Kim, Bum-soo, Park, Jae-Sung, Jeon, Sin-Soo
Format: Article
Language:English
Subjects:
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Choline
Diffusion Magnetic Resonance Imaging - methods
Glioblastoma
Glioma
Glioma - diagnostic imaging
Glioma - pathology
Humans
Magnetic Resonance Imaging - methods
Magnetic Resonance Spectroscopy - methods
Multiparametric Magnetic Resonance Imaging
Neoplasm Grading
Retrospective Studies
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Summary:•Multiparametric MRI was helpful in differentiating HGGs from LGGs.•Relative CBV is the most helpful parameter in differentiating HGGs from LGGs.•Ktrans may aid in the prediction of the IDH mutational status of diffuse gliomas.•Relative CBV showed significant correlation with Ktrans, Cho/Cr, and ADC.•Some HGGs had overlapping features in Ktrans and rCBV with LGGs. To assess the diagnostic accuracy of dynamic susceptibility contrast, dynamic contrast-enhancement, MR spectroscopy (MRS), and diffusion-weighted imaging for differentiating high-grade (HGGs) from low-grade gliomas (LGGs). Seventy-two patients (16 LGGs, 56 HGGs) with pathologically confirmed gliomas were retrospectively included. From three-dimensionally segmented tumor, histogram analyses of relative cerebral blood volume (rCBV), volume transfer constant (Ktrans), and apparent diffusion coefficient (ADC) were performed. Choline-to-creatinine ratio (Cho/Cr) was calculated using MRS. Logistic regression analyses were performed to differentiate HGGs (grade ≥ 3) from LGGs (grade ≤ 2). Areas under the receiver operating characteristics curves (AUC) were plotted. Subgroup analysis was performed between IDH-wildtype glioblastomas and IDH-mutant astrocytomas. Pairwise Spearman’s correlation coefficients (ρ) were computed. HGGs had higher 95th percentile rCBV, Ktrans and Cho/Cr (P 
ISSN:0720-048X
1872-7727
DOI:10.1016/j.ejrad.2023.110888