Millora del diagnòstic i de la valoració pronóstica de tumors cerebrals humans \i in vivo\i0 i en models animals i cel·lulars de la patologia

  • Arus Caralto, Carles (Principal Investigator)
  • Candiota Silveira, Ana Paula (Scholar)
  • Coronel Linárez, Indira Evelia (Scholar)
  • Portas Ferreira Simoes, Rui Vasco (Scholar)
  • Valverde Saubí, Daniel (Scholar)
  • Acebes Martin, Juan Jose, Institut de Diagnòstic per la Imatge (IDI) (Researcher on contract)
  • Acosta Mena, Dionisio (Researcher on contract)
  • Aguilera Grijalvo, Carles, Institut de Diagnòstic per la Imatge (IDI) (Researcher on contract)
  • Cabiol Belmonte, José, Hospital Universitari de Bellvitge (Researcher on contract)
  • Julià Sapé, Mª Margarita (Researcher on contract)
  • Majós Torró, Carles, Institut de Diagnòstic per la Imatge (IDI) (Researcher on contract)
  • Minguillón Alfonso, Julià, Universitat Oberta de Catalunya (Researcher on contract)
  • Oriol Rocafiguera, Albert, Universitary Hospital Germans Trias i Pujol (Researcher on contract)
  • Quintero Bernabeu, Maria Rosa (Researcher on contract)
  • Tate, Anne Rosemary, University of Sussex (Researcher on contract)
  • Cabañas Egaña, Miquel (Investigator)

Project Details


This project is set to improve the non invasive diagnosis and prognostic evaluation of human brain tumours. This development should facilitate proper therapeutic or surgical care of the patient. For this, we are going to use detection of the metabolic phenotype of the studied tissue by proton magnetic ressonance spectroscopy \super 1\nosuper H MRS. Diagnostic markers will be automatically extracted by pattern recognition analysis of \super 1\nosuper H MRS data. New case classifiers obtained from those markers will be incorporated into a graphical user interface (GUI) developed during the INTERPRET EU project for display of relevant classification data to clinicians. Furthermore, we will study animal models of cancer (brain metastasis of mammary adenocarcinoma in mude mice) by high field \super 1\nosuper H MRS/MRI (9.4 T) to follow possible new tumoral markers induced by various metabolic stimuli (i.e. hyperglicemia). We are also interested in obtaining additional diagnostic relevent information from cellular and animals models of cancer, like the relationship between NMR -detectable mobile lipids and necrosis or arrested proliferation or the possible detection by \super 1\nosuper H MRS of extracellular matrix rearrangements in the tumour
Effective start/end date1/12/021/12/05


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