A MRI View of Brain Tumor Outcome Prediction

  • Cristiana Neto
  • Inês Dias
  • Maria Santos
  • Victor Alves
  • Filipa Ferraz
  • João Neves
  • Henrique Vicente
  • José NevesEmail author
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


On the one hand, cancer and tumor are one of the most feared terms in today’s society. It refers to an unstable growth of cells that potentially invade the surrounding tissues and may eventually lead to edema or even death. On the other hand, the term tumor is often misleading since people assume that it is the same as cancer, but this is not necessarily true. A cancer is a particularly threatening type of tumor. The word tumor simply refers to a mass, and in particular a brain tumor is a mass located in the patient’s brain that may seriously threaten his/her life. Thus, it is crucial to study which factors may influence the outcome of a brain tumor to improve the given treatment or even make the patient more contented. Therefore, this study presents a decision support system based on Magnetic Resonance Imaging (MRI) data or knowledge (if the data is presented in context) that allows for brain tumor outcome prediction. It describes an innovative approach to cater for brain illness where Logic Programming comes in support of a computational approach based on Case Based Reasoning. An attempt is made to predict whether a patient will die or survive with or without a tumor, where the data or knowledge may be of type unknown, incomplete or even self-contradictory.


Brain tumor Feature extraction Brain tumor outcome prediction Logic programming Knowledge representation and reasoning Case-based reasoning 3D slicer Magnetic resonance imaging 



This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Departamento de InformáticaUniversidade do MinhoBragaPortugal
  2. 2.Centro AlgoritmiUniversidade do MinhoBragaPortugal
  3. 3.Mediclinic Arabian RanchesDubaiUnited Arab Emirates
  4. 4.Departamento de Química, Escola de Ciências e Tecnologia, Centro de Química de ÉvoraUniversidade de ÉvoraÉvoraPortugal

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