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Abstract #2897

A population-based digital reference object (DRO) for optimizing dynamic susceptibility contrast (DSC) MRI methods for clinical trials

Natenael B Semmineh1, Ashley M Stokes1, Laura C Bell1, Jerrold L Boxerman2, and C Chad Quarles1

1Translational Bioimaging, Barrow Neurological Institute, Phoenix, AZ, United States, 2Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States

The standardization of DSC-MRI has been confounded by a lack of consensus on DSC-MRI methodology for preventing potential rCBV inaccuracies, including the choice of acquisition protocols and post-processing algorithms. To address these issues, we developed a digital reference object (DRO) aimed at validating image acquisition and analysis methods for accurately measuring rCBV in glioblastomas. The DRO was developed using trained physiological and kinetic parameters derived from in vivo data, unique voxel-wise 3D tissue structures, and a validated MRI signal computational approach. The DRO’s ability to produce reliable signals was validated by comparison to separate cohort of patient data.

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