Abstract #4807

The relationship between advanced perfusion MRI and measurements of vessel size in human gliomas using image-guided stereotactic biopsies and quantitative immunohistochemistry

Ararat Chakhoyan^1,2, Kevin Leu^1,2, Robert J. Harris^1,2, Mitra D. Harati³, William Yong³, Albert Lai⁴, Phioanh Nghiemphu⁴, Linda Liau ⁵, Noriko Salamon², Whitney B. Pope², Timothy F. Cloughesy⁶, and Benjamin Ellingson⁷

¹Brain Tumor Imaging Laboratory, UCLA, Los Angeles, CA, United States, ²Dept. of Radiological Sciences, UCLA, Los Angeles, CA, United States, ³Division of Neuropathology, Department of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA, United States, ⁴Department of Neurology, UCLA, Los Angeles, CA, United States, ⁵Department of Neurosurgery, UCLA, Los Angeles, CA, United States, ⁶Neurology, UCLA, Los Angeles, CA, United States, ⁷Radiological Science, UCLA, Los Angeles, CA, United States

Following an accurate sampling of glioma tissues with 3D T1w-MRI coordinates, we quantified VSI from multi-echo spin-and-gradient echo DSC perfusion as well as from CD31 staining. Eleven patients were included in this retrospective study with in total 30 evaluated targets. We demonstrated the robustness of VSI quantification by MRI. These maps showed a high sensibility and specificity for tumor grading. Finally, in comparison with classical DSC approaches for rCBV estimations, the quantification of VSI could be automated in clinical settings and enhance our understanding of micro and macro-vessel evolution in glioma patients.

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