{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:05:06Z","timestamp":1757617506797,"version":"3.44.0"},"reference-count":32,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["3332023011"],"award-info":[{"award-number":["3332023011"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Ultrasound"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>This study aimed to construct a nomogram based on novel ultrasound vascularity features to differentiate follicular thyroid carcinoma (FTC) from follicular benign neoplasms (FBN).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 153 patients were included. We evaluated various sonographic features of all nodules and analyzed the diagnostic efficiency of different vascularity patterns for FTC. Furthermore, independent predictors for FTC were screened using multivariable logistic regression. A nomogram was established to predict FTC, and various methods were used to evaluate the performance of the nomogram.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The firework\u2010like pattern and central\u2010grasp pattern were more likely to appear in the FTC (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001, <jats:italic>p<\/jats:italic>\u2009=\u20090.007), while the ring\u2010like pattern was more likely to appear in the FBN (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). The firework\u2010like pattern showed the best performance in accuracy (71.2%) and NPV (73.4%) among other vascularity patterns. Besides, thick hypo\u2010halo, ring\u2010like pattern, central\u2010grasp pattern, and firework\u2010like pattern were four predictors used to construct the nomogram. The bootstrap AUC was 0.814 (95% CI: 0.743\u20130.884) which revealed the nomogram had accurate prediction accuracy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The firework\u2010like pattern and central\u2010grasp pattern were vascularity characteristics for FTC, while the ring\u2010like pattern was for FBN. Besides, our nomogram based on novel vascularity characteristics can help distinguish FTC and FBN before operation.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcu.24033","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T05:37:39Z","timestamp":1745559459000},"page":"1454-1464","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Establish a Nomogram Based on Ultrasound Novel Vascularity Characteristics to Differentiate Follicular Thyroid Carcinoma From Follicular Benign Neoplasms"],"prefix":"10.1002","volume":"53","author":[{"given":"Aonan","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Peking Union Medical College  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luying","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Peking Union Medical College  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1640-0936","authenticated-orcid":false,"given":"Yu","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Peking Union Medical College  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liyuan","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Peking Union Medical College  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical 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