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Abstract #4745

Extending an MR elastography based method for inferring total tumour pressure to multiple organs

Daniel Fovargue1, Jack Lee1, Marco Fiorito1, Adela Capilnasiu1, Siri Flogstad Svensson2, Kyrre Eeg Emblem2, Philippe Garteiser3, Aime Pacifique Manzi3, Gwenael Page3, Valerie Vilgrain4, Bernard Van-Beers3, Sweta Sethi5, Ayse Sila Dokumaci1, Stefan Hoelzl1, Jurgen Henk Runge1,6, Jose de Arcos1, Keshthra Satchithananda7, David Nordsletten1,8, Arnie Purushotham7, and Ralph Sinkus1,3
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 3INSERM, University Paris Diderot, Paris, France, 4Department of Radiology, Hopital Universitaire Beaujon, Clichy, France, 5Department of Research Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 6Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands, 7Division of Cancer Studies, King's College London, London, United Kingdom, 8Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States

Both interstitial fluid pressure and solid pressure of tumours have been shown to correlate with decreased efficacy of treatment and potentially with poorer prognosis. This increased fluid and solid pressure causes tumours to push on surrounding tissue, leading to changes in tissue stiffness due to nonlinear effects. A previously presented method relates the magnitude of these changes, as measured by MR elastography, to pressure using a nonlinear biomechanical model. Here, this method is extended for use on both preliminary liver and brain data which show correlation between reconstructed pressure and invasion and tumour type, respectively.

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