Haimei Cao1, Xiang Xiao1, Jun Hua2,3, Guanglong Huang4, Xiaodan Li1, Wenle He1, Jie Qin1, and Yuankui Wu1
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
Synopsis
Glioma grading is vital for planning therapeutic
approaches and assessing prognosis and response to treatment. Advanced MR imaging provides physiological information of brain tumors in
microcirculation, cell and molecular levels, thus improving the preoperative
prediction of glioma grade. In this study, we studied the value of combined
inflow-based vascular-space-occupancy (iVASO) MR imaging and diffusion-weighted
imaging (DWI) in preoperative prediction of gliomas grade. The results showed
that combined iVASO and DWI improved the diagnostic performance of glioma
grading. This suggests that the combined application of iVASO and DWI might be
used as part of the routine brain tumor imaging protocol.
INTRODUCTION
Accurate prediction of gliomas grade preoperatively
is clinically desired1,2. Structural MR imaging does not allow for accurate
predicting grade of gliomas. Diffusion-weighted
imaging (DWI) can quantify tumor cellularity in vivo and distinguish high- and
low-grade glioma effectively. Perfusion-weighted imaging (PWI) provides
information about angiogenesis and vascularity. Inflow-based
vascular-space-occupancy (iVASO) is a novel perfusion technique without the
need for exogenous contrast agents. The present study aimed to study whether combined inflow-based
vascular-space-occupancy (iVASO) MR imaging 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 MR imaging, iVASO
and DWI (Achieva, TX, Philips).
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 ADC (mADC) were compared between low-grade and
high-grade gliomas. Receiver operating characteristic (ROC) analysis was
performed to compare 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 (Table 1) and in 46 of 51 (90.2%) in the second review (Figures
1 and 2). Both rCBVa and mADC showed significant differences between low-grade
and high-grade gliomas. ROC analysis (Table 2) gave a threshold value of 1.52
for rCBVa and 0.85×10-3 mm2/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 was 0.87 and 0.85 for rCBVa and
mADC, respectively (Figure 3). The combination of rCBV and mADC values
increased the area under the ROC curve to 0.92.DISCUSSION
In our study, we could use iVASO-rCBVa and minADC for preoperative grading
of gliomas. Furthermore, we found an adjunctive value of iVASO and ADC maps in
the glioma grading compared with structural images alone. Endothelial neovascularization
is an important histopathologic feature that reflects glioma malignancy3 and increased vascularity is typically associated
with higher tumor grade and aggressiveness4-8. iVASO, leveraging proton spins in the water
molecules in blood as endogenous contrast agents, can quantify the arterial
compartment of the microcirculation9. The present study demonstrated that iVASO-rCBVa
can accurately distinguish low-grade and high-grade gliomas with the threshold
value of 1.52. In general, glioma cell proliferation and cell density increase
with WHO tumor grade3. High-grade gliomas tend to show a decreased
diffusion rate of extracellular water molecules and a lower ADC5,7. In our present study, minimum ADC (mADC) values
were significantly different between low-grade and high-grade gliomas. It was
reported that the combination of different advanced MRI techniques could
improve the diagnostic efficacy of glioma grading10,11. Our study showed that combining PWI and DWI
improved the diagnostic efficacy of glioma grading. This was because combining
structural and advanced MRI can provide us quantitative information on the
biological characteristics of tumors in addition to accurate anatomical
localization. Our study showed an increase of diagnostic accuracy of glioma
grading (from 78.4% to 90.2%), through combination of structural MRI, iVASO and
DWI images.CONCLUSION
iVASO
and DWI showed added value in preoperative grading of glioma to structural MRI.
The combined application of iVASO and DWI might be used as part of the routine
brain tumor imaging protocol.Acknowledgements
No acknowledgement found.References
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