Radiomics in cervical and endometrial cancer

Manganaro, Lucia; Nicolino,  Gabriele Maria; Dolciami, Miriam; Martorana, Federica; Stathis, Anastasios; Colombo, Ilaria; Rizzo, Stefania

doi:10.1259/bjr.20201314

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Journal article

Radiomics in cervical and endometrial cancer

Manganaro, Lucia ORCID Department of Radiological, Oncological and Pathological Sciences; University of Rome Sapienza, Rome, Italy
Nicolino, Gabriele Maria ORCID Post-graduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
Dolciami, Miriam ORCID Department of Radiological, Oncological and Pathological Sciences; University of Rome Sapienza, Rome, Italy
Martorana, Federica Oncology Institute of Southern Switzerland, San Giovanni Hospital, Bellinzona, Switzerland
Stathis, Anastasios Oncology Institute of Southern Switzerland, San Giovanni Hospital, Bellinzona, Switzerland - Facoltà di Scienze biomediche, Università della Svizzera italiana, Lugano, Switzerland
Colombo, Ilaria ORCID Oncology Institute of Southern Switzerland, San Giovanni Hospital, Bellinzona, Switzerland
Rizzo, Stefania Facoltà di Scienze biomediche, Università della Svizzera italiana (USI), Lugano, Switzerland - Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, Lugano, Switzerland

2021

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The British journal of radiology. - 2021, vol. 94, no. 1125, p. 20201314

English Radiomics is an emerging field of research that aims to find associations between quantitative information extracted from imaging examinations and clinical data to support the best clinical decision. In the last few years, some papers have been evaluating the role of radiomics in gynecological malignancies, mainly focusing on ovarian cancer. Nonetheless, cervical cancer is the most frequent gynecological malignancy in developing countries and endometrial cancer is the most common in western countries. The purpose of this narrative review is to give an overview of the latest published papers evaluating the role of radiomics in cervical and endometrial cancer, mostly evaluating association with tumor prognostic factors, with response to therapy and with prediction of recurrence and distant metastasis.

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