Abstract #0545
VERDICT MRI estimates match histopathology features in brain tumours
Matteo Figini1, Antonella Castellano2, Michele Bailo3, Marcella Callea4, Valentina Pieri2, Marcello Cadioli5, Marco Palombo1,6,7, Pietro Mortini3, Andrea Falini2, Daniel C Alexander1, Mara Cercignani6,8, and Eleftheria Panagiotaki1
1Centre for Medical Image Computing, Computer Science Department, University College London, London, United Kingdom, 2Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milan, Italy, 3Department of Neurosurgery and Gamma Knife Radiosurgery, Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milan, Italy, 4Pathology Unit, IRCCS Ospedale San Raffaele, Milan, Italy, 5Philips Healthcare, Milan, Italy, 6Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 7School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 8Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom
Synopsis
We recently adapted the VERDICT framework to characterize both the core and peritumoural areas of brain tumours. We report here its first clinical application in the differentiation of brain tumour histotypes. Comparing groups of lesions with increasing aggressiveness (from lower to higher grades to metastases) we observed a significant increase in the intracellular and vascular fraction in the lesion core. VERDICT maps matched the features showed by histopathology in lower grades and in metastases; in the most heterogeneous higher grades, VERDICT maps showed differences between subregions compatible with histopathology results in multiple biopsy samples.
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