{"title":"分化型甲状腺癌生化反应不完全的临床结局及影响因素分析。","authors":"Congcong Wang, Guohua Qin, Shuhui Wang, Yutian Li, Yaqi Lu, Xia Shen, Wei Sun, Jiao Li, Na Han, Chenghui Lu, Guoqiang Wang, Yingying Zhang, ZengHua Wang, Zengmei Si, Fengqi Li, Xufu Wang, Yansong Lin, Xinfeng Liu","doi":"10.1080/14796694.2025.2548161","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The aim of our study was to investigate the clinical outcomes and predictive factors in patients with biochemical incomplete response (BIR) after initial radioiodine therapy (RAI).</p><p><strong>Materials & methods: </strong>This retrospective study enrolled 198 patients with BIR from two institutions and stratified them into a training cohort (Qingdao cohort, n = 144) and an external validation cohort (Beijing cohort, n = 54). The patients were classified as having incomplete response (IR) or non-IR disease at the final follow-up. Univariate and multivariate analyses identified IR predictors in the training cohort. A nomogram was developed using the training cohort and was validated in the validation cohort using calibration curves, decision curve analysis (DCA), and receiver operating characteristic analysis.</p><p><strong>Results: </strong>Age, recurrence risk, pre-stimulated thyroglobulin (ps-Tg), and BRAF<sup>V600E</sup> mutation were independent predictors of IR in the training cohort. The nomogram identified ps-Tg as the strongest predictor of IR risk, followed by the BRAF<sup>V600E</sup> mutation, age, and recurrence risk. The calibration curves demonstrated excellent agreement between the predicted and observed probabilities. DCA confirmed favorable clinical utility.</p><p><strong>Conclusions: </strong>This validated nomogram provides a clinically useful tool for quantifying IR risk in BIR patients, supporting personalized management decisions after initial RAI.</p>","PeriodicalId":12672,"journal":{"name":"Future oncology","volume":" ","pages":"2911-2919"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439549/pdf/","citationCount":"0","resultStr":"{\"title\":\"Clinical outcome and influencing factors of differentiated thyroid cancer with biochemical incomplete response.\",\"authors\":\"Congcong Wang, Guohua Qin, Shuhui Wang, Yutian Li, Yaqi Lu, Xia Shen, Wei Sun, Jiao Li, Na Han, Chenghui Lu, Guoqiang Wang, Yingying Zhang, ZengHua Wang, Zengmei Si, Fengqi Li, Xufu Wang, Yansong Lin, Xinfeng Liu\",\"doi\":\"10.1080/14796694.2025.2548161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The aim of our study was to investigate the clinical outcomes and predictive factors in patients with biochemical incomplete response (BIR) after initial radioiodine therapy (RAI).</p><p><strong>Materials & methods: </strong>This retrospective study enrolled 198 patients with BIR from two institutions and stratified them into a training cohort (Qingdao cohort, n = 144) and an external validation cohort (Beijing cohort, n = 54). The patients were classified as having incomplete response (IR) or non-IR disease at the final follow-up. Univariate and multivariate analyses identified IR predictors in the training cohort. A nomogram was developed using the training cohort and was validated in the validation cohort using calibration curves, decision curve analysis (DCA), and receiver operating characteristic analysis.</p><p><strong>Results: </strong>Age, recurrence risk, pre-stimulated thyroglobulin (ps-Tg), and BRAF<sup>V600E</sup> mutation were independent predictors of IR in the training cohort. The nomogram identified ps-Tg as the strongest predictor of IR risk, followed by the BRAF<sup>V600E</sup> mutation, age, and recurrence risk. The calibration curves demonstrated excellent agreement between the predicted and observed probabilities. DCA confirmed favorable clinical utility.</p><p><strong>Conclusions: </strong>This validated nomogram provides a clinically useful tool for quantifying IR risk in BIR patients, supporting personalized management decisions after initial RAI.</p>\",\"PeriodicalId\":12672,\"journal\":{\"name\":\"Future oncology\",\"volume\":\" \",\"pages\":\"2911-2919\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439549/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14796694.2025.2548161\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14796694.2025.2548161","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Clinical outcome and influencing factors of differentiated thyroid cancer with biochemical incomplete response.
Purpose: The aim of our study was to investigate the clinical outcomes and predictive factors in patients with biochemical incomplete response (BIR) after initial radioiodine therapy (RAI).
Materials & methods: This retrospective study enrolled 198 patients with BIR from two institutions and stratified them into a training cohort (Qingdao cohort, n = 144) and an external validation cohort (Beijing cohort, n = 54). The patients were classified as having incomplete response (IR) or non-IR disease at the final follow-up. Univariate and multivariate analyses identified IR predictors in the training cohort. A nomogram was developed using the training cohort and was validated in the validation cohort using calibration curves, decision curve analysis (DCA), and receiver operating characteristic analysis.
Results: Age, recurrence risk, pre-stimulated thyroglobulin (ps-Tg), and BRAFV600E mutation were independent predictors of IR in the training cohort. The nomogram identified ps-Tg as the strongest predictor of IR risk, followed by the BRAFV600E mutation, age, and recurrence risk. The calibration curves demonstrated excellent agreement between the predicted and observed probabilities. DCA confirmed favorable clinical utility.
Conclusions: This validated nomogram provides a clinically useful tool for quantifying IR risk in BIR patients, supporting personalized management decisions after initial RAI.
期刊介绍:
Future Oncology (ISSN 1479-6694) provides a forum for a new era of cancer care. The journal focuses on the most important advances and highlights their relevance in the clinical setting. Furthermore, Future Oncology delivers essential information in concise, at-a-glance article formats - vital in delivering information to an increasingly time-constrained community.
The journal takes a forward-looking stance toward the scientific and clinical issues, together with the economic and policy issues that confront us in this new era of cancer care. The journal includes literature awareness such as the latest developments in radiotherapy and immunotherapy, concise commentary and analysis, and full review articles all of which provide key findings, translational to the clinical setting.