{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T05:45:17Z","timestamp":1776231917563,"version":"3.50.1"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T00:00:00Z","timestamp":1776211200000},"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. Oncol."],"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Primary tracheal malignancies (PTMs) are rare and histologically diverse, leading to complex and contentious prognostic factors. Consequently, accurately predicting the survival outcomes of these patients is challenging. This study aimed to develop a radiomics-based prognostic model for individual prediction of survival risk in PTM patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 115 patients with PTM were reviewed retrospectively and divided into the training cohort (n = 85) and validation cohort (n = 30). Radiomics features associated with overall survival (OS) were selected using the least absolute shrinkage and selection operator (LASSO) method and combined to form the radiomics score (Radscore). Multivariable analyses were used to identify clinical and CT features as independent risk factors for OS. Radscore and identified risk factors were combined to construct a radiomics nomogram. The predictive efficacy and clinical net benefit of the prognostic models were assessed using the C-index and decision curve analysis (DCA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Seven radiomics features were selected by LASSO to form a Radscore. Longitudinal length was identified as an independent prognostic factor for OS. Compared with longitudinal length (C-index: 0.59; 95% confidence interval [CI]: 0.47-0.70), both the Radscore (C-index: 0.75; 95% CI, 0.63-0.87) and nomogram (C-index: 0.79; 95% CI, 0.69-0.88) demonstrated better predictive performance and were confirmed in the validation cohort. In addition, DCA indicated that both the Radscore and nomogram provided favorable clinical net benefits.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The CT-based nomogram, which combined Radscore and longitudinal length, could individually predict the survival outcomes of PTM patients, aiding clinical decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fonc.2026.1609920","type":"journal-article","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T04:46:49Z","timestamp":1776228409000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and validation of a CT-based radiomics nomogram for predicting overall survival in primary tracheal malignancy"],"prefix":"10.3389","volume":"16","author":[{"given":"Shuchao","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiology, Shanghai Tenth People\u2032s Hospital, Tongji University","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongfeng","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Radiology, Shanghai Tenth People\u2032s Hospital, Tongji University","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Limin","family":"Xue","sequence":"additional","affiliation":[{"name":"Department of Radiology, First Affiliated Hospital, School of Medicine, Zhejiang University","place":["Hangzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwei","family":"Qiang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Jinshan Hospital, Fudan University","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,4,15]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1634\/theoncologist.2-4-245","article-title":"Management of tracheal neoplasms","volume":"2","author":"Meyers","year":"1997","journal-title":"Oncologist"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1097\/00005537-199809000-00006","article-title":"Adenoid cystic carcinoma of the trachea","volume":"108","author":"Azar","year":"1998","journal-title":"Laryngoscope"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1097\/coc.0b013e3181cae8ab","article-title":"Population based cancer registry analysis of primary tracheal 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