Institut de Diagnòstic per la Imatge

This narrative review searched PubMed, Scopus and Web of Science (2012-2024) to map the role of radiomics and artificial intelligence in neuro-oncology across diagnostic, prognostic and therapeutic potential, reporting that radiomics can automatically extract quantitative features from MRI, CT and PET/CT that are not visible to the human eye, has been shown useful for pre-surgical classification of gliomas, survival prediction and differentiation between tumour progression and pseudo-progression, may improve diagnostic accuracy and support patient stratification by molecular biomarkers such as IDH and MGMT when integrated with deep learning, and links image phenotypes to genetic alterations through radiogenomics to enhance personalised medicine, while limitations persist from lack of proto

This narrative review searched PubMed, Scopus and Web of Science (2012-2024) to map the role of radiomics and artificial intelligence in neuro-oncology across diagnostic, prognostic and therapeutic potential, reporting that radiomics can automatically extract quantitative features from MRI, CT and PET/CT that are not visible to the human eye, has been shown useful for pre-surgical classification of gliomas, survival prediction and differentiation between tumour progression and pseudo-progression, may improve diagnostic accuracy and support patient stratification by molecular biomarkers such as IDH and MGMT when integrated with deep learning, and links image phenotypes to genetic alterations through radiogenomics to enhance personalised medicine, while limitations persist from lack of proto