Abstract
Glioblastomas are infiltrative and deeply invasive neoplasms characterized by high vascular proliferation and diffuse margins. As a consequence, this lesion presents a high degree of heterogeneity that requires being studied through a multiparametric combination of several imaging sequences. Nowadays few systems are available to perform a relevant multiparametric analysis of this tumour. In this work, we present the study of GBM by means of http://mtsimaging.com, an online platform for the automatic reporting of multiparametric tissue signatures. The platform implements two full automated GBM pipelines: (1) the anatomical pipeline, which involves MRI preprocessing and tumour segmentation; and (2) the hemodynamic MTS pipeline, which adds the quantification of perfusion parameters and a nosologic segmentation map of the vascular habitats of the GBM. A radiologic report summarizes the findings of both analysis and provides volumetric and perfusion statistics of each tissue and habitat of the tumour.
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Acknowledgments
This work was partially supported by project TIN2013-43457-R: Caracterización de firmas biológicas de glioblastomas mediante modelos no-supervisados de predicción estructurada basados en biomarcadores de imagen, co-funded by the Ministerio de Economía y Competitividad of Spain; by project DPI2016-80054-R: Biomarcadores dinamicos basados en firmas tisulares multiparametricas para el seguimiento y evaluacion de la respuesta a tratamiento de pacientes con glioblastoma y cancer de prostata; by project Spanish EIT Proof of Concept grant (PoC-2016-SPAIN-07) entitled MULTIBIOIM: Multiparametric nosological images for supporting clinical decisions in solid tumors; by project CON2016-C05 UPV-IISLaFe: Inclusión de las tecnologías de firma tisular y modelos mutiescala para el soporte a la planificación de la radioterapia en el tratamiento del glioblastoma, funded by Instituto de Investigación Sanitaria H. Universitario y Politécnico La Fe; by project CON2014002 UPV-IISLaFe: Empleo de segmentación no supervisada multiparamétrica basada en perfusión RM para la caracterización del edema peritumoral de gliomas y metástasis cerebrales únicas, funded by Instituto de Investigación Sanitaria H. Universitario y Politécnico La Fe; and by Instituto de Aplicaciónes de las Tecnologías de la Información y las Comunicaciones Avanzadas (ITACA). E. Fuster-Garcia acknowledges the financial support from the program PAID- 10-14: Ayudas para la Contratación de Doctores para el Acceso al SECTI founded by the Universitat Politécnica de Valéncia.
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Juan-Albarracín, J., Fuster-Garcia, E., García-Gómez, J.M. (2016). An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma. In: Crimi, A., Menze, B., Maier, O., Reyes, M., Winzeck, S., Handels, H. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2016. Lecture Notes in Computer Science(), vol 10154. Springer, Cham. https://doi.org/10.1007/978-3-319-55524-9_5
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