ONCOhabitats es un software para la evaluación de la heterogeneidad de gliomas de alto grado (Glioblastoma IDH-wild y Astrocitoma IDH-mutante) mediante datos de resonancia magnética. El sistema ofrece dos servicios: 1) segmentación de gliomas de alto grado y 2) delineación de la heterogeneidad vascular de gliomas de alto grado mediante el método HTS.
En ONCOhabitats queremos ayudar a profesionales sanitarios, investigadores y empresas a descubrir el verdadero potencial de la inteligencia artificial. Nuestros servicios han sido evaluados retrospectivamente en hospitales de España, Italia, Bélgica y Noruega en el Estudio Clínico NCT03439332. Alvarez-Torres, Maria del Mar. et al. (2020) ‘Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study’, Journal of Magnetic Resonance Imaging, 51(5), pp. 1478–1486. Available at: https://doi.org/10.1002/jmri.26958.
ONCOhabitats se ha llevado a cabo dentro de los proyectos ALBATROSS (PID2019-104978RB-I00) y SINUE (INNEST/2022/87), y está patentado en España (con número de patente ES201431289A) Europa (EP3190542A1) y Estados Unidos (US20170287133A1).
El software fue publicado en este sitio web, con fines académicos, el 3 de mayo de 2021. Actualmente, ONCOhabitats está siendo validado por el estudio clínico “Evaluación de la viabilidad de ONCOhabitats para ayudar a la cirugía y planificación del tratamiento en pacientes con Glioblastoma, tipo IDH-wild (INNEST/2022/87)”. Esta validación clínica se financia por el proyecto ALBATROSS (PID2019-104978RB-100 – Agencia Estatal de Investigación) y el proyecto SINUÉ (INNEST/2022/87 – Agencia Valenciana de la Innovación).
Según lo que se dicta en el Capítulo III del Anexo I del Reglamento 2017-745 (página 103), el cual se puede consultar en el siguiente enlace: https://eur-lex.europa.eu/legal-content/ES/TXT/PDF/?uri=CELEX:32017R0745&from=DA#page=103, se elaboran las Instrucciones de uso y el etiquetado y se justifica la aplicación del reglamento aquí.
Universitat Politècnica de València (UPV)
Camino de Vera s/n
46022 València – España
ONCOhabitats is a software for the evaluation of the heterogeneity of high-grade gliomas (IDH-wild Glioblastoma and IDH-mutant Astrocytoma) using MRI data. The system offers two services: 1) segmentation of high-grade gliomas and 2) delineation of vascular heterogeneity of high-grade gliomas using the HTS method.
At ONCOhabitats we want to help health professionals, researchers and companies to discover the true potential of artificial intelligence. Our services have been retrospectively evaluated in hospitals in Spain, Italy, Belgium and Norway in the NCT03439332 Clinical Study. Alvarez-Torres, Maria del Mar. et al. (2020) ‘Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study’, Journal of Magnetic Resonance Imaging, 51(5), pp. 1478–1486. Available at: https://doi.org/10.1002/jmri.26958.
ONCOhabitats has been carried out within the ALBATROSS (PID2019-104978RB-I00) and SINUE (INNEST/2022/87) projects, and is patented in Spain (patent number ES201431289A), Europe (EP3190542A1) and the United States (US20170287133A1).
The software was published on this website for academic purposes on May 3, 2021. Currently, ONCOhabitats is being validadated by the clinical study “Evaluación de la viabilidad de ONCOhabitats para ayudar a la planificación de la cirugía y el tratamiento en pacientes con Glioblastoma, tipo IDH-wild (INNEST/2022/87)”. This clinical validation has been funded by ALBATROSS project (PID2019-104978RB-100 – Agencia Estatal de Investigación) and SINUÉ project (INNEST/2022/87 – Agencia Valenciana de la Innovación) .
As dictated in Chapter III of Annex I of Regulation 2017-745 (page 103), which is available at the following link: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32017R0745#page=103, the instructions for use and labeling are elaborated and the application of the regulation is justified here.
Universitat Politècnica de València (UPV)
Camino de Vera s/n
46022 València – Spain
Our solutions
Segmentation services
MRI preprocessing in combination with automated segmentation of enhancing tumor, necrotic core and edema based on Convolutional Neural Networks.
Biomarker quantification services
Functional assessment of biological imaging markers from perfusion and diffusion magnetic resonance sequences for the quantitative evaluation of tumor physiological features.
Vascular Heterogeneity Assessment
Delineation of functional habitats within the glioblasotma that describe the biomarker heterogeneity of the tumor. Includes all the modules of the Anatomical service
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We are the BDSLab
The Biomedical Data Science Lab (BDSLab) is an interdisciplinary research line of the ITACA institute at Universitat Politècnica de València (UPV) committed to biomedical computer science since its creation in 2000. With more than 13 years of experience, the BDSLab focuses its research on real problems in the field of biomedical data mining by means of advanced pattern recognition and machine learning techniques, computational prediction and development of tools to support health care professionals and their patients.
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