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Abstract #0137

Characterizing the ADC-microstructure relationship in meningiomas through computational modelling.

Giulia Buizza1, Chiara Paganelli1, Lorenzo Preda2, Francesca Valvo2, Daniel C. Alexander3, Guido Baroni1,2, and Marco Palombo3
1CartCasLab at Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy, 2National Center Of Oncological Hadrontherapy (CNAO), Pavia, Italy, 3Centre for Medical Image Computing and Dept of Computer Science, University College London, London, United Kingdom

Tumour microstructure can be probed with diffusion-weighted MRI (DW-MRI), but the clinically-adopted apparent diffusion coefficient (ADC) lacks a clear link to microstructure. Aim of this work was to detail the ADC-microstructure relationship using a computational framework. Relying on a sparse representation of simulated DW-MRI data, we estimated diffusivity (D), cell radius (R) and volume fraction (vf) for 27 low and high-grade meningioma patients, which significantly differed in ADC, D and vf. Preliminary results showed the potential of the proposed framework for meningioma grading and proton-therapy response assessment, although extension to richer data and histological validation need to be further addressed.

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