In recent years the concept of precision medicine has become a popular topic particularly in medical oncology. Besides the identification of new molecular prognostic and predictive biomarkers and the development of new targeted and immunotherapeutic drugs, imaging has started to play a central role in this new era. Terms such as “radiomics”, “radiogenomics” or “radi…-omics” are becoming increasingly common in the literature and soon they will represent an integral part of clinical practice. The use of artificial intelligence, imaging and “-omics” data can be used to develop models able to predict, for example, the features of the tumor immune microenvironment through imaging, and to monitor the therapeutic response beyond the standard radiological criteria. The aims of this narrative review are to provide a simplified guide for clinicians to these concepts, and to summarize the existing evidence on radiomics and “radi…-omics” in cancer immunotherapy.

Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians

Porcu M.;Mannelli L.;Micheletti G.;Saba L.
Ultimo
Membro del Collaboration Group
2020-01-01

Abstract

In recent years the concept of precision medicine has become a popular topic particularly in medical oncology. Besides the identification of new molecular prognostic and predictive biomarkers and the development of new targeted and immunotherapeutic drugs, imaging has started to play a central role in this new era. Terms such as “radiomics”, “radiogenomics” or “radi…-omics” are becoming increasingly common in the literature and soon they will represent an integral part of clinical practice. The use of artificial intelligence, imaging and “-omics” data can be used to develop models able to predict, for example, the features of the tumor immune microenvironment through imaging, and to monitor the therapeutic response beyond the standard radiological criteria. The aims of this narrative review are to provide a simplified guide for clinicians to these concepts, and to summarize the existing evidence on radiomics and “radi…-omics” in cancer immunotherapy.
2020
cancer immunotherapy
CTLA-4
immune checkpoint blockade
immune checkpoint molecules
PD-1/PD-L1
Radiomics
Humans
Immunotherapy
Neoplasms
Precision Medicine
Tumor Microenvironment
Artificial Intelligence
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S1040842820302043-main.pdf

Solo gestori archivio

Tipologia: versione editoriale
Dimensione 725.56 kB
Formato Adobe PDF
725.56 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/304217
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 20
social impact