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Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management.
Panico, Camilla; Avesani, Giacomo; Zormpas-Petridis, Konstantinos; Rundo, Leonardo; Nero, Camilla; Sala, Evis.
Affiliation
  • Panico C; Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli 8, Rome 00168, Italy.
  • Avesani G; Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli 8, Rome 00168, Italy. Electronic address: giacomo.avesani@policlinicogemelli.it.
  • Zormpas-Petridis K; Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli 8, Rome 00168, Italy; Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK.
  • Rundo L; Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Invariante 12/B, Via Giovanni Paolo II 132, 84084, Fisciano (SA), Italy.
  • Nero C; Dipartimento di Scienze Della Salute Della Donna, del bambino e di sanità pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Università Cattolica Del Sacro Cuore, Largo Francesco Vito, 1, 00168 Roma RM, Italy.
  • Sala E; Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Largo A. Gemelli 8, Rome 00168, Italy; Università Cattolica Del Sacro Cuore, Largo Francesco Vito, 1, 00168 Roma RM, Italy.
Radiol Clin North Am ; 61(4): 749-760, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37169435
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Radiol Clin North Am Year: 2023 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Radiol Clin North Am Year: 2023 Document type: Article Affiliation country: