UAB Digital Repository of Documents 2 records found  Search took 0.01 seconds. 
1.
226 p, 8.7 MB Improvement of protocols for brain cancer : diagnosis and therapy response monitoring using magnetic resonance based molecular imaging strategies / Ciezka, Magdalena ; Arús i Caraltó, Carles, dir. ; Paula Candiota, Ana, dir. ; Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular
Los tumores cerebrales constituyen menos del 2% de los tumores primarios, pero son uno de los peores tipos de cáncer en cuanto a "años de vida perdidos". Los gliomas son los tumores cerebrales más prevalentes, con una esperanza de vida inferior a 15 meses para los casos de alto grado, como los glioblastomas (GBM). [...]
Brain tumours account for less than 2% of all primary tumours, but are one of the most lethal cancers when "life lost" years are considered. Gliomas are the most prevalent type with a median life expectancy below 15 months for the high grade ones, such as glioblastomas (GBM). [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2019.  
2.
59 p, 12.4 MB Development of a transplantable glioma tumour model from genetically engineered mice : MRI/MRS/MRSI characterisation / Ciezka, Magdalena (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Acosta González, Milena (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Herranz, Cristina (Universitat de Barcelona. Departament de Ciències Biomèdiques) ; Canals, Josep M (Universitat de Barcelona. Departament de Ciències Biomèdiques) ; Pumarola i Batlle, Martí (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
The initial aim of this study was to generate a transplantable glial tumour model of low-intermediate grade by disaggregation of a spontaneous tumour mass from genetically engineered models (GEM). This should result in an increased tumour incidence in comparison to GEM animals. [...]
2016 - 10.1007/s11060-016-2164-3
Journal of neuro-oncology, Vol. 129, issue 1 (Aug. 2016) , p. 67-76  

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