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Inflow-based vascular-space-occupancy (iVASO) might potentially predict IDH mutation status and tumor grade in diffuse cerebral gliomas - 19/01/21

Doi : 10.1016/j.neurad.2021.01.002 
Liuji Guo a, 1, Xiaodan Li a, 1, Haimei Cao a, Jun Hua b, c, Yingjie Mei d, Jay J. Pillai e, f, Yuankui Wu a,
a Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, PR China 
b Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA 
c F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA 
d China International Center, Philips Healthcare, Guangzhou, PR China 
e Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA 
f Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA 

Corresponding author at: Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, Guangdong, 510515, China.Department of Medical ImagingNanfang HospitalSouthern Medical UniversityNo. 1838 Guangzhou Avenue NorthGuangzhouGuangdong510515China
En prensa. Manuscrito Aceptado. Disponible en línea desde el Tuesday 19 January 2021
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Highlights

iVASO shows potential value in predicting IDH mutation of glioma.
Maximum arteriolar cerebral blood volume allows for accurate distinction between glioblastomas and lower-grade gliomas.

El texto completo de este artículo está disponible en PDF.

Abstract

Purpose

The aim of the study is to assess the diagnostic performance of inflow-based vascular-space-occupancy (iVASO) MR imaging for differentiating glioblastomas (grade IV, GBM) and lower-grade diffuse gliomas (grade II and III, LGG) and its potential to predict IDH mutation status.

Methods

One hundred and two patients with diffuse cerebral glioma (56 males; median age, 43.5 years) underwent iVASO and dynamic susceptibility contrast (DSC) MR imaging. The iVASO-derived arteriolar cerebral blood volume (CBVa), relative CBVa (rCBVa), and the DSC-derived relative cerebral blood volume (rCBV) were obtained, and these measurements were compared between the GBM group (n = 43) and the LGG group (n = 59) and between the IDH-mutation group (n = 54) and the IDH-wild group (n = 48).

Results

Significant correlation was observed between rCBV and CBVa (P < 0.001) or rCBVa (P < 0.001). Both CBVa (P < 0.001) and rCBVa (P < 0.001) were higher in the GBM group. Both CBVa (P < 0.001) and rCBVa (P < 0.001) were lower in the IDH-mutation group compared to the IDH-wild group. Receiver operating characteristic analyses showed the area under curve (AUC) of 0.95 with CBVa and 0.97 with rCBVa in differentiating GBM from LGG. The AUCs were 0.82 and 0.85 for CBVa and rCBVa in predicting IDH gene status, respectively, which were lower than that of rCBV (AUC = 0.90). Combined rCBV and rCBVa significantly improved the diagnostic performance (AUC = 0.95).

Conclusions

iVASO MR imaging has the potential to predict IDH mutation and grade in glioma.

El texto completo de este artículo está disponible en PDF.

Keywords : Glioma, Perfusion, Magnetic resonance imaging, Neoplasm grading


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© 2021  Publicado por Elsevier Masson SAS.
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