: Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.

Panico, C., Avesani, G., Zormpas-Petridis, K., Rundo, L., Nero, C., Sala, E., Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management, <<THE RADIOLOGIC CLINICS OF NORTH AMERICA>>, 2023; 61 (4): N/A-N/A. [doi:10.1016/j.rcl.2023.02.006] [https://hdl.handle.net/10807/272858]

Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management

Panico, Camilla;Avesani, Giacomo;Nero, Camilla;Sala, Evis
Ultimo
2023

Abstract

: Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.
2023
Inglese
Panico, C., Avesani, G., Zormpas-Petridis, K., Rundo, L., Nero, C., Sala, E., Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management, <<THE RADIOLOGIC CLINICS OF NORTH AMERICA>>, 2023; 61 (4): N/A-N/A. [doi:10.1016/j.rcl.2023.02.006] [https://hdl.handle.net/10807/272858]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/272858
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