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dc.contributorPerera Lluna, Alexandre
dc.contributorPérez López, Raquel
dc.contributor.authorZubieta Martin, Iker
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2022-08-30T07:43:57Z
dc.date.available2022-08-30T07:43:57Z
dc.date.issued2022-06
dc.identifier.urihttp://hdl.handle.net/2117/371947
dc.description.abstractThis master thesis has two aims. The first main objective is to study and obtain robust voxel-wise (3D) radiomic features for lung cancer and with them compute the habitats (unsupervised clusters) to unravel tumor heterogeneity and facilitate a personalized treatment for each patient and to see the progression of the disease over time.The goal is to obtain robust radiomic features that can be generalized to every database with lung cancer data. The second main objective is to develop a CT-radiomic signature (i.e., imaging phenotype) that will predict the tumor immune profile obtained from the RNA analysis of biopsied sample and allow to identify patients with lung cancer who will respond to immunotherapy.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.publisherUniversitat de Barcelona
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshBiology
dc.subject.lcshNatural history
dc.subject.lcshImmunophenotyping
dc.subject.otherComputed tomography
dc.subject.otherHabitats
dc.subject.otherImmunotherapy
dc.subject.otherLung cancer
dc.subject.otherRadiomic signature
dc.subject.otherRobustness
dc.subject.otherTumor heterogeneity
dc.titleLung cancer immunophenotyping with CT- radiomics
dc.title.alternativeBiomarcadores de imagen de respuesta personalizados para la inmunoterapia del cáncer
dc.typeMaster thesis
dc.subject.lemacBiologia
dc.subject.lemacCiències naturals
dc.subject.lemacInmunoterapia
dc.subject.amsClassificació AMS::92 Biology and other natural sciences::92C Physiological, cellular and medical topics
dc.identifier.slugFME-2326
dc.rights.accessOpen Access
dc.date.updated2022-06-23T05:25:27Z
dc.audience.educationlevelMàster
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística
dc.contributor.covenanteeVall d'Hebron Institut d’Oncologia


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