{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:09:42Z","timestamp":1790208582465,"version":"4.1.0"},"reference-count":83,"publisher":"Oxford University Press (OUP)","issue":"1125","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,1]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1259\/bjr.20201314","type":"journal-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T08:34:01Z","timestamp":1625733241000},"source":"Crossref","is-referenced-by-count":49,"title":["Radiomics in cervical and endometrial cancer"],"prefix":"10.1093","volume":"94","author":[{"given":"Lucia","family":"Manganaro","sequence":"first","affiliation":[{"name":"Department of Radiological, Oncological and Pathological Sciences; University of Rome Sapienza (IT) , Rome , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriele Maria","family":"Nicolino","sequence":"additional","affiliation":[{"name":"Post-graduate School in Radiodiagnostics, Universit\u00e0 degli Studi di Milano, Via Festa del Perdono 7 , Milan , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miriam","family":"Dolciami","sequence":"additional","affiliation":[{"name":"Department of Radiological, Oncological and Pathological Sciences; University of Rome Sapienza (IT) , Rome , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federica","family":"Martorana","sequence":"additional","affiliation":[{"name":"Oncology Institute of Southern Switzerland, San Giovanni Hospital , 6500 Bellinzona, (CH) , Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anastasios","family":"Stathis","sequence":"additional","affiliation":[{"name":"Oncology Institute of Southern Switzerland, San Giovanni Hospital , 6500 Bellinzona, (CH) , Switzerland"},{"name":"Facolt\u00e0 di Scienze biomediche, Universit\u00e0 della Svizzera italiana (USI), Via Buffi 13, 6900 , Lugano (CH) , Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilaria","family":"Colombo","sequence":"additional","affiliation":[{"name":"Oncology Institute of Southern Switzerland, San Giovanni Hospital , 6500 Bellinzona, (CH) , Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5151-0866","authenticated-orcid":false,"given":"Stefania","family":"Rizzo","sequence":"additional","affiliation":[{"name":"Facolt\u00e0 di Scienze biomediche, Universit\u00e0 della Svizzera italiana (USI), Via Buffi 13, 6900 , Lugano (CH) , Switzerland"},{"name":"Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, Via Tesserete 46 , Lugano (CH) , Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,7,8]]},"reference":[{"key":"2024050215213944300_b1","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.diii.2018.11.007","article-title":"Ovarian cancer: an update on imaging in the era of radiomics","volume":"100","author":"Nougaret","year":"2019","journal-title":"Diagn Interv Imaging"},{"key":"2024050215213944300_b2","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1186\/s41747-018-0068-z","article-title":"Radiomics: the facts and the challenges of image analysis","volume":"2","author":"Rizzo","year":"2018","journal-title":"Eur Radiol Exp"},{"key":"2024050215213944300_b3","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: images are more than pictures, they are data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"key":"2024050215213944300_b4","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1148\/radiol.2018172361","article-title":"Radiomics of CT features may be Nonreproducible and redundant: influence of CT acquisition parameters","volume":"288","author":"Berenguer","year":"2018","journal-title":"Radiology"},{"key":"2024050215213944300_b5","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1016\/j.mri.2012.06.010","article-title":"Radiomics: the process and the challenges","volume":"30","author":"Kumar","year":"2012","journal-title":"Magn Reson Imaging"},{"key":"2024050215213944300_b6","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1109\/83.701170","article-title":"Region growing: a new approach","volume":"7","author":"Hojjatoleslami","year":"1998","journal-title":"IEEE Trans Image Process"},{"key":"2024050215213944300_b7","article-title":"Object segmentation using graph cuts based active contours","volume":"42","author":"Xu","year":"2003","journal-title":"IEEE"},{"key":"2024050215213944300_b8","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20190948","article-title":"Radiomics: from qualitative to quantitative imaging","volume":"93","author":"Rogers","year":"2020","journal-title":"Br J Radiol"},{"key":"2024050215213944300_b9","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1007\/978-3-030-42618-7_24","article-title":"Image-Guided Radiooncology: the potential of Radiomics in clinical application","volume":"216","author":"Peeken","year":"2020","journal-title":"Recent Results Cancer Res"},{"key":"2024050215213944300_b10","doi-asserted-by":"crossref","DOI":"10.3390\/cancers12061432","article-title":"Association of a CT-based clinical and radiomics score of non-small cell lung cancer (NSCLC) with lymph node status and overall survival","volume":"12","author":"Botta","year":"2020","journal-title":"Cancers"},{"key":"2024050215213944300_b11","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1007\/s00330-017-5015-5","article-title":"Metastatic and non-metastatic lymph nodes: quantification and different distribution of iodine uptake assessed by dual-energy CT","volume":"28","author":"Rizzo","year":"2018","journal-title":"Eur Radiol"},{"key":"2024050215213944300_b12","doi-asserted-by":"crossref","first-page":"W85","DOI":"10.2214\/AJR.16.16652","article-title":"Differentiation of clear cell renal cell carcinoma from other renal cortical tumors by use of a quantitative multiparametric MRI approach. 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Radiomics for the prediction of treatment response to concurrent chemotherapy and radiation therapy in locally advanced cervical cancer","volume":"10","author":"Fang","year":"2020","journal-title":"Front Oncol"},{"key":"2024050215213944300_b40","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2020.00077","article-title":"Prediction of response to preoperative neoadjuvant chemotherapy in locally advanced cervical cancer using multicenter CT-based radiomic analysis","volume":"10","author":"Tian","year":"2020","journal-title":"Front Oncol"},{"key":"2024050215213944300_b41","doi-asserted-by":"crossref","first-page":"43169","DOI":"10.18632\/oncotarget.17856","article-title":"Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different 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