{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T22:52:20Z","timestamp":1792363940407,"version":"4.4.0"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:00Z","timestamp":1669939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      To evaluate the performance of 18F-fluorodeoxyglucose positron emission tomography (\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET\/CT) radiomic features to predict overall survival (OS) in patients with locally advanced uterine cervical carcinoma.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Longitudinal and retrospective study that evaluated 50 patients with cervical epidermoid carcinoma (clinical stage IB2 to IVA according to FIGO). Segmentation of the 18F-FDG PET\/CT tumors was performed using the LIFEx software, generating the radiomic features. We used the Mann\u2013Whitney test to select radiomic features associated with the clinical outcome (death), excluding the features highly correlated with each other with Spearman correlation. Subsequently, ROC curves and a Kaplan\u2013Meier analysis were performed. A\n                      <jats:italic>p<\/jats:italic>\n                      -value &amp;lt; 0.05 were considered significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The median follow-up was 23.5 months and longer than 24 months in all surviving patients. Independent predictors for OS were found\u2013SUVpeak with an AUC of 0.74, sensitivity of 77.8%, and specificity of 72.7% (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.006); and the textural feature gray-level run-length matrix GLRLM_LRLGE, with AUC of 0.74, sensitivity of 72.2%, and specificity of 81.8% (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.005). When we used the derived cut-off points from these ROC curves (12.76 for SUVpeak and 0.001 for GLRLM_LRLGE) in a Kaplan\u2013Meier analysis, we can see two different groups (one with an overall survival probability of approximately 90% and the other with 30%). These biomarkers are independent of FIGO staging.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      By radiomic\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET\/CT data analysis, SUVpeak and GLRLM_LRLGE textural feature presented the best performance to predict OS in patients with cervical cancer undergoing chemo-radiotherapy and brachytherapy.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmed.2022.1046551","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T05:03:03Z","timestamp":1669957383000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Exploratory analysis of radiomic as prognostic biomarkers in 18F-FDG PET\/CT scan in uterine cervical cancer"],"prefix":"10.3389","volume":"9","author":[{"given":"Nadja Rolim Gon\u00e7alves de","family":"Alencar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcos Ant\u00f4nio D\u00f3rea","family":"Machado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felipe Alves","family":"Mourato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00e9rcia Liane de","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thauan Fernandes","family":"Moraes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luiz Alberto Reis","family":"Mattos Junior","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tien-Man Cabral","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carla Rameri Alexandre Silva de","family":"Azevedo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simone Cristina Soares","family":"Brand\u00e3o","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,12,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","article-title":"Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36cancers in 185 countries.","volume":"68","author":"Bray","year":"2018","journal-title":"CA Cancer J Clin."},{"key":"B2","doi-asserted-by":"publisher","first-page":"e191","DOI":"10.1016\/S2214-109X(19)30482-6","article-title":"Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis.","volume":"8","author":"Arbyn","year":"2019","journal-title":"Lancet Glob Health."},{"key":"B3","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J Clin."},{"key":"B4","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1002\/ijgo.12608","article-title":"FIGO Cancer Report 2018.","volume":"143","author":"Bhatla","year":"2018","journal-title":"Int J Gynaecol Obstet."},{"key":"B5","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1148\/radiol.2019190088","article-title":"2018 FIGO Staging system for uterine cervical cancer: enter cross- sectional imaging.","volume":"292","author":"Lee","year":"2019","journal-title":"Radiology."},{"key":"B6","doi-asserted-by":"publisher","first-page":"1807","DOI":"10.1148\/rg.2020200013","article-title":"2018 FIGO staging classification for cervical cancer: added benefits of imaging.","volume":"40","author":"Salib","year":"2020","journal-title":"Radiographics."},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1186\/s13550-016-0177-8","article-title":"For avid glucose tumors, the SUV peak is the most reliable parameter for [(18)F]FDG-PET\/CT quantification, regardless of acquisition time.","volume":"6","author":"Sher","year":"2016","journal-title":"EJNMMI Res."},{"key":"B8","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1007\/s00259-014-2961-x","article-title":"European Association of Nuclear Medicine (EANM). 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