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Abstract #2201

Improving accuracy of MR-Linac arterial spin labelling for imaging dynamics of highly-perfused tumour regions in glioblastoma

Liam S. P. Lawrence1, Brige Chugh2,3,4, James Stewart2, Mark Ruschin2, Aimee Theriault2, Jay Detsky2, Sten Myrehaug2, Pejman J. Maralani5, Chia-Lin Tseng2, Hany Soliman2, Mary Jane Lim-Fat6, Sunit Das7, Arjun Sahgal2, and Angus Z. Lau1,2
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada, 4Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 5Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 7Department of Surgery, St. Michael's Hospital, Toronto, ON, Canada

Synopsis

Keywords: MR-Guided Radiotherapy, Arterial spin labelling, MR-Linac, Quantitative imaging, Glioblastoma

Motivation: MRI-linear accelerator arterial spin labelling shows low absolute cerebral blood flow (CBF) values, which impedes the accurate definition of highly-perfused tumour regions in glioblastoma for adaptive dose-escalation.

Goal(s): Correct CBF values by measuring labelling efficiency and characterize highly-perfused region dynamics.

Approach: Labelling efficiency was determined in five subjects, then used to adjust CBF values. The dynamics of high-CBF regions were determined in 47 glioblastoma patients during radiotherapy.

Results: MR-Linac labelling efficiency is low (0.59) compared to the literature-recommended value (0.85). High-CBF regions extend outside the enhancing tumour (~47% of the volume) and shrink during chemoradiation by ~30-70%.

Impact: Accurate cerebral blood flow measurements from MR-Linac arterial spin labelling are possible by using the measured labelling efficiency. To target highly-perfused glioblastoma regions with dose-escalation, targeting enhancing tumour is insufficient and adaptation is required.

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Keywords