The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas

Objectives: The present study aimed to study whether combined inflow-based vascular-space-occupancy (iVASO) MR imaging (MRI) and diffusion-weighted imaging (DWI) improve the diagnostic accuracy in the preoperative grading of gliomas. Methods: Fifty-one patients with histopathologically confirmed dif...

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Veröffentlicht in:Neuro-degenerative diseases 2021-05, Vol.20 (4), p.123-130
Hauptverfasser: Cao, Haimei, Xiao, Xiang, Hua, Jun, Huang, Guanglong, He, Wenle, Qin, Jie, Wu, Yuankui, Li, Xiaodan
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container_end_page 130
container_issue 4
container_start_page 123
container_title Neuro-degenerative diseases
container_volume 20
creator Cao, Haimei
Xiao, Xiang
Hua, Jun
Huang, Guanglong
He, Wenle
Qin, Jie
Wu, Yuankui
Li, Xiaodan
description Objectives: The present study aimed to study whether combined inflow-based vascular-space-occupancy (iVASO) MR imaging (MRI) and diffusion-weighted imaging (DWI) improve the diagnostic accuracy in the preoperative grading of gliomas. Methods: Fifty-one patients with histopathologically confirmed diffuse gliomas underwent preoperative structural MRI, iVASO, and DWI. We performed 2 qualitative consensus reviews: (1) structural MR images alone and (2) structural MR images with iVASO and DWI. Relative arteriolar cerebral blood volume (rCBVa) and minimum apparent diffusion coefficient (mADC) were compared between low-grade and high-grade gliomas. Receiver operating characteristic (ROC) curve analysis was performed to compare the tumor grading efficiency of rCBVa, mADC, and the combination of the two parameters. Results: Two observers diagnosed accurate tumor grade in 40 of 51 (78.4%) patients in the first review and in 46 of 51 (90.2%) in the second review. Both rCBVa and mADC showed significant differences between low-grade and high-grade gliomas. ROC analysis gave a threshold value of 1.52 for rCBVa and 0.85 × 10 −3 mm 2 /s for mADC to provide a sensitivity and specificity of 88.0 and 81.2% and 100.0 and 68.7%, respectively. The area under the ROC curve (AUC) was 0.87 and 0.85 for rCBVa and mADC, respectively. The combination of rCBVa and mADC values increased the AUC to 0.92. Conclusion: The combined application of iVASO and DWI may improve the diagnostic accuracy of glioma grading.
doi_str_mv 10.1159/000512545
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Methods: Fifty-one patients with histopathologically confirmed diffuse gliomas underwent preoperative structural MRI, iVASO, and DWI. We performed 2 qualitative consensus reviews: (1) structural MR images alone and (2) structural MR images with iVASO and DWI. Relative arteriolar cerebral blood volume (rCBVa) and minimum apparent diffusion coefficient (mADC) were compared between low-grade and high-grade gliomas. Receiver operating characteristic (ROC) curve analysis was performed to compare the tumor grading efficiency of rCBVa, mADC, and the combination of the two parameters. Results: Two observers diagnosed accurate tumor grade in 40 of 51 (78.4%) patients in the first review and in 46 of 51 (90.2%) in the second review. Both rCBVa and mADC showed significant differences between low-grade and high-grade gliomas. ROC analysis gave a threshold value of 1.52 for rCBVa and 0.85 × 10 −3 mm 2 /s for mADC to provide a sensitivity and specificity of 88.0 and 81.2% and 100.0 and 68.7%, respectively. The area under the ROC curve (AUC) was 0.87 and 0.85 for rCBVa and mADC, respectively. The combination of rCBVa and mADC values increased the AUC to 0.92. Conclusion: The combined application of iVASO and DWI may improve the diagnostic accuracy of glioma grading.</description><identifier>ISSN: 1660-2854</identifier><identifier>EISSN: 1660-2862</identifier><identifier>DOI: 10.1159/000512545</identifier><identifier>PMID: 33735873</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Development and progression ; Diagnosis ; Gliomas ; Magnetic resonance imaging ; Methods ; Research Article ; Tumor staging</subject><ispartof>Neuro-degenerative diseases, 2021-05, Vol.20 (4), p.123-130</ispartof><rights>2021 S. Karger AG, Basel</rights><rights>2021 S. 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ROC analysis gave a threshold value of 1.52 for rCBVa and 0.85 × 10 −3 mm 2 /s for mADC to provide a sensitivity and specificity of 88.0 and 81.2% and 100.0 and 68.7%, respectively. The area under the ROC curve (AUC) was 0.87 and 0.85 for rCBVa and mADC, respectively. The combination of rCBVa and mADC values increased the AUC to 0.92. 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subjects Development and progression
Diagnosis
Gliomas
Magnetic resonance imaging
Methods
Research Article
Tumor staging
title The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas
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