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Abstract #4319

NODDI-based identification of white matter tracts in regions of peritumoral edema: a validation study in brains bearing meningioma tumors.

Sasha Hakhu1, Jennapher Lingo VanGilder1, Lucas Paulson1, Leland Hu2, Yuxiang Zhou2, Kurt Schilling3, and Scott Beeman1
1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States, 2Mayo Clinic, Scottsdale, AZ, United States, 3Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: White Matter, Diffusion/other diffusion imaging techniques

White matter (WM) tract detection proximal to brain tumors, surrounded by vasogenic edema during tumor resection is critical. Previous work has shown that NODDI presents a more accurate quantification of WM in edema as compared to DTI. However, these studies included gliomas and metastases, which are known to infiltrate WM. Here, we focus on validating the use of the NODDI model for WM identification in edema only in non-invasive meningiomas. Our results showed that DTI-derived FA of WM near edematous regions were lower than contralateral WM in non-edematous regions; in contrast, NODDI-derived ODI values for the same regions remained comparable.

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Keywords