{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T06:22:52Z","timestamp":1787552572088,"version":"build-2736575974"},"reference-count":34,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"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":["Cancer Biomarkers"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Accurate staging and treatment response assessment remain challenging in cervical cancer management. This study investigated the diagnostic and prognostic value of integrating ultrasonographic parameters with serum and tissue biomarkers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective study included 392 patients with histopathologically confirmed cervical cancer treated between January 2019 and December 2024. All patients underwent comprehensive ultrasonographic evaluation and biomarker assessment (SCC-Ag, CEA, CA125, CA19-9, NLR, Ki-67, HPV status) before treatment. An integrated scoring system was developed and validated. In 324 patients receiving concurrent chemoradiotherapy, dynamic changes were monitored at baseline, mid-treatment, and post-treatment. Multivariate analysis identified independent prognostic factors for survival analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The integrated scoring system demonstrated superior staging performance (sensitivity 92.6%, specificity 88.4%, AUC 0.94) compared to ultrasound alone (78.4%, 72.6%, 0.82) or biomarkers alone (74.2%, 68.4%, 0.78). Tumor volume strongly correlated with SCC-Ag levels in squamous cell carcinoma. The combination of &gt;50% tumor volume reduction and &gt;60% SCC-Ag decrease at mid-treatment predicted complete response with 91.2% sensitivity and 86.4% specificity. Prognostic stratification identified three risk groups with significantly different 3-year progression-free survival rates: low-risk 62.1%, intermediate-risk 54.6%, and high-risk 33.8%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Integration of ultrasonographic parameters and biomarker profiles provides superior diagnostic accuracy for cervical cancer staging and enables early prediction of treatment response, potentially guiding personalized treatment decisions and surveillance strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/18758592261479724","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T10:28:56Z","timestamp":1787394536000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated multiparametric ultrasound and biomarker assessment for clinical staging and treatment response prediction in cervical cancer: A single-center retrospective study"],"prefix":"10.1177","volume":"43","author":[{"given":"Tao","family":"Lyu","sequence":"first","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0713-6480","authenticated-orcid":false,"given":"Minghui","family":"Li","sequence":"additional","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huimin","family":"Li","sequence":"additional","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"He","sequence":"additional","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Xinjiang Medical University Affiliated Tumor Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,22]]},"reference":[{"key":"e_1_3_7_2_2","volume-title":"Comparative analysis of Indian and foreign population for cervical cancer","author":"Gaikwad R","year":"2024","unstructured":"Gaikwad R. 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