{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:25:30Z","timestamp":1782483930317,"version":"3.54.5"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2023,8,27]],"date-time":"2023-08-27T00:00:00Z","timestamp":1693094400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,8,27]],"date-time":"2023-08-27T00:00:00Z","timestamp":1693094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Cancer Res Clin Oncol"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Objective<\/jats:title>\n                <jats:p>To identify CT features and establish a diagnostic model for distinguishing non-ampullary duodenal neuroendocrine neoplasms (dNENs) from non-ampullary duodenal gastrointestinal stromal tumors (dGISTs) and to analyze overall survival outcomes of all dNENs patients.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Materials and methods<\/jats:title>\n                <jats:p>This retrospective study included 98 patients with pathologically confirmed dNENs (<jats:italic>n<\/jats:italic>\u2009=\u200944) and dGISTs (<jats:italic>n<\/jats:italic>\u2009=\u200954). Clinical data and CT characteristics were collected. Univariate analyses and binary logistic regression analyses were performed to identify independent factors and establish a diagnostic model between non-ampullary dNENs (<jats:italic>n<\/jats:italic>\u2009=\u200922) and dGISTs (<jats:italic>n<\/jats:italic>\u2009=\u200954). The ROC curve was created to determine diagnostic ability. Cox proportional hazards models were created and Kaplan\u2013Meier survival analyses were performed for survival analysis of dNENs (<jats:italic>n<\/jats:italic>\u2009=\u200944).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Three CT features were identified as independent predictors of non-ampullary dNENs, including intraluminal growth pattern (OR 0.450; 95% CI 0.206\u20130.983), absence of intratumoral vessels (OR 0.207; 95% CI 0.053\u20130.807) and unenhanced lesion\u2009&gt;\u200940.76 HU (OR 5.720; 95% CI 1.575\u201320.774). The AUC was 0.866 (95% CI 0.765\u20130.968), with a sensitivity of 90.91% (95% CI 70.8\u201398.9%), specificity of 77.78% (95% CI 64.4\u201388.0%), and total accuracy rate of 81.58%. Lymph node metastases (HR: 21.60), obstructive biliary and\/or pancreatic duct dilation (HR: 5.82) and portal lesion enhancement\u2009\u2264\u200999.79 HU (HR: 3.02) were independent prognostic factors related to poor outcomes.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>We established a diagnostic model to differentiate non-ampullary dNENs from dGISTs. Besides, we found that imaging features on enhanced CT can predict OS of patients with dNENs.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00432-023-05295-9","type":"journal-article","created":{"date-parts":[[2023,8,27]],"date-time":"2023-08-27T07:01:40Z","timestamp":1693119700000},"page":"15143-15157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Duodenal neuroendocrine neoplasms on enhanced CT: establishing a diagnostic model with duodenal gastrointestinal stromal tumors in the non-ampullary area and analyzing the value of predicting prognosis"],"prefix":"10.1007","volume":"149","author":[{"given":"Na","family":"Feng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai-Yan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Fei","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie-Ni","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Bin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue-Ying","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ri-Sheng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,27]]},"reference":[{"key":"5295_CR1","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.diii.2017.01.004","volume":"98","author":"M Barat","year":"2017","unstructured":"Barat M, Dohan A, Dautry R et al (2017) Mass-forming lesions of the duodenum: a pictorial review. 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