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Abstract #2735

Improved Precision for Measurements of Tumor Vascular Perfusion with Dynamic Contrast Enhanced- Magnetic Resonance Fingerprinting (DCE-MRF)

Christina Joanne MacAskill1, Yuran Zhu1, Bernadette O Erokwu2, Guanhua Wang3, Michael Kavran2, Chunying Wu2, Chetan B Dhakan4, Xin Yu1, Mark D Pagel5, and Chris A Flask2
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 4University of Wisconsin, Madison, WI, United States, 5Medical Physics, University of Wisconsin, Madison, WI, United States

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Preclinical, Pulse Sequence Design, DCE Perfusion

Motivation: Conventional Dynamic Contrast Enhanced MRI methods to measure vascular perfusion are highly variable and rarely used fully in clinical practice.

Goal(s): To improve the precision of tumor vascular perfusion measurements with Dynamic Contrast Enhanced – Magnetic Resonance Fingerprinting (DCE-MRF).

Approach: We developed and validated our T1-only MRF DCE-MRF acquisition at 9.4T with phantoms and initial in vivo data of an orthotopic mouse model of 4T1 breast cancer.

Results: Phantom DCE-MRF had up to 9.2x reduction in temporal variation compared to conventional DCE-MRI. In vivo results demonstrated sensitivity to gadolinium concentration uptake in the tumor, allowing for voxel-wise assessments of tumor vascular perfusion.

Impact: Dynamic Contrast Enhanced MRI methods to measure tumor vascular perfusion rates are highly variable and thus rarely used in clinical practice. The proposed T1-only DCE-MRF acquisition provides assessments of vascular perfusion with significantly improved precision.

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Keywords