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Radiomics and artificial intelligence

Authors :
Catalano, OA
Ghezzo, S
Bezzi, C
Neri, I
Mapelli, P
Presotto, L
Gajate, A
Bettinardi, V
Garibotto, V
De Cobelli, F
Scifo, P
Picchio, M
Ghezzo S.
Bezzi C.
Neri I.
Mapelli P.
Presotto L.
Gajate A. M. S.
Bettinardi V.
Garibotto V.
De Cobelli F.
Scifo P.
Picchio M.
Catalano, OA
Ghezzo, S
Bezzi, C
Neri, I
Mapelli, P
Presotto, L
Gajate, A
Bettinardi, V
Garibotto, V
De Cobelli, F
Scifo, P
Picchio, M
Ghezzo S.
Bezzi C.
Neri I.
Mapelli P.
Presotto L.
Gajate A. M. S.
Bettinardi V.
Garibotto V.
De Cobelli F.
Scifo P.
Picchio M.
Publication Year :
2022

Abstract

Positron emission tomography/magnetic resonance imaging (PET/MRI) is an innovative imaging technology that allows the simultaneous acquisition of metabolic, structural, and functional information for an accurate characterization of tissues. The qualitative interpretation of PET/MR images has shown great potential in tumor diagnosis, treatment planning, and follow-up. Furthermore, PET/MRI also potentially provides several quantitative imaging biomarkers, also called “radiomic features,” for tumor characterization extracted both from PET and MRI. In the new era of precision medicine, radiomics is an emerging translational field of research aiming to extract a large number of quantitative features followed by their interpretation through various analyses and integration into predictive models. In this chapter, different clinical applications of radiomics based on PET, MRI, and PET/MR images will be presented, with a specific focus on the characterization of brain tumors, breast cancer, pancreatic neuroendocrine tumors, and prostate cancer. Finally, some other applications of artificial intelligence applied to PET/MR images that can shortly enter into clinical practice will be shown.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1376781092
Document Type :
Electronic Resource