{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T20:09:16Z","timestamp":1790885356386,"version":"4.1.0"},"reference-count":53,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Head &amp;amp; Neck"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>This systematic review and meta\u2010analysis evaluated the performance of imaging\u2010based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node\u2010negative (cN0) papillary thyroid carcinoma (PTC).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We conducted a literature search in PubMed, Embase, and Web of Science until February 25, 2025. Studies were selected that focused on imaging\u2010based AI models for predicting cervical LNM in cN0 PTC. The diagnostic performance metrics were analyzed using a bivariate random\u2010effects model, and study quality was assessed with the QUADAS\u20102 tool.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>From 671 articles, 11 studies involving 3366 patients were included. Ultrasound (US)\u2010based AI models showed pooled sensitivity of 0.79 and specificity of 0.82, significantly higher than radiologists (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). CT\u2010based AI models demonstrated sensitivity of 0.78 and specificity of 0.89.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Imaging\u2010based AI models, particularly US\u2010based AI, show promising diagnostic performance. There is a need for further multicenter prospective studies for validation.<\/jats:p><jats:p><jats:bold>Trial Registration:<\/jats:bold> PROSPERO: (CRD420251063416)<\/jats:p><\/jats:sec>","DOI":"10.1002\/hed.70000","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T09:25:19Z","timestamp":1754299519000},"page":"2881-2896","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Diagnostic Performance of Imaging\u2010Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node\u2010Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta\u2010Analysis"],"prefix":"10.1002","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6477-7344","authenticated-orcid":false,"given":"Bosheng","family":"Li","sequence":"first","affiliation":[{"name":"Department of Ultrasound Changde Hospital, Xiangya School of Medicine, Central 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