{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T17:48:53Z","timestamp":1777484933814,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Concurrent chemoradiotherapy (CCRT) is used as the primary treatment modality for currently limited cervical cancer and lacks non-invasive quantitative parameters to assess clinical outcomes of treatment for cervical cancer treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To develop nomograms based on clinical prognostic factors and apparent diffusion coefficient (ADC) in predicting downstaging and progression-free survival (PFS) after CCRT for cervical cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>\n                      X-tile was used to calculate the optimal threshold for \u0394ADC\n                      <jats:sub>mean<\/jats:sub>\n                      (%) for prognostic stratification. Kaplan\u2013Meier curves were used to calculate the difference in PFS between high- and low-risk groups. Univariate and multivariate Cox proportional risk regression models were used to identify clinical and radiological risk factors for prognosis and construct a prognostic nomogram model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      \u0394ADC\n                      <jats:sub>mean<\/jats:sub>\n                      (%) was significantly correlated with tumor downstaging; the area under the receiver operating characteristic curve (AUC) was 0.868. X-tile showed that the optimal threshold for \u0394ADC\n                      <jats:sub>mean<\/jats:sub>\n                      (%) to diagnose prognosis was 40.8. Kaplan\u2013Meier curves showed that the low-risk population in the training group had significantly longer PFS within 3 years ( P\u2009&lt;\u20090.001). Multivariate Cox regression showed that \u0394ADC (%) is independent risk factor for PFS. The C-index of \u0394ADC(%) predicting 3-year PFS in the training set is 0.761 and the C-index of the nomogram model is 0.862.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      \u0394ADC\n                      <jats:sub>mean<\/jats:sub>\n                      (%) is a non-invasive biomarker for predicting tumor downstaging in cervical cancer after CCRT. The nomograms based on \u0394ADC\n                      <jats:sub>mean<\/jats:sub>\n                      (%) predict PFS of patients with cervical cancer with moderate accuracy.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851241283042","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T08:24:58Z","timestamp":1731399898000},"page":"1430-1439","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Nomograms combining clinical factors and apparent diffusion coefficient to predict downstaging and progression-free survival after concurrent chemoradiotherapy in patients with cervical cancer"],"prefix":"10.1177","volume":"65","author":[{"given":"Jiawei","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Radiology, The First Hospital of Qinhuangdao City, Qinhuangdao, Hebei Province, PR 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Province, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei Province, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of Radiotherapy, The First Hospital of Qinhuangdao City, Qinhuangdao, Hebei Province, PR 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