{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T14:40:33Z","timestamp":1788964833442,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:00:00Z","timestamp":1725494400000},"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":["J of Clinical Ultrasound"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>This study aims to assess the diagnostic efficacy of Korean Thyroid imaging reporting and data system (K\u2010TIRADS), S\u2010Detect software and contrast\u2010enhanced ultrasound (CEUS) when employed individually, as well as their combined application, for the evaluation of thyroid nodules, with the objective of identifying the optimal method for diagnosing thyroid nodules.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Two hundred and sixty eight cases pathologically proven of thyroid nodules were retrospectively enrolled. Each nodule was classified according to K\u2010TIRADS. S\u2010Detect software was utilized for intelligent analysis. CEUS was employed to acquire contrast\u2010enhanced features.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The area under curve (AUC) values for diagnosing benign and malignant thyroid nodules using K\u2010TIRADS alone, S\u2010Detect software alone, CEUS alone, the combined application of K\u2010TIRADS and CEUS, the combined application of S\u2010Detect software and CEUS were 0.668, 0.668, 0.719, 0.741, and 0.759, respectively (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). The sensitivity rate of S\u2010Detect software was 89.9% (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). It was the highest of the five diagnostic methods above.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The utilization of S\u2010Detect software can be served as a powerful tool for early screening. Notably, the combined utilization of S\u2010Detect software with CEUS demonstrates superior diagnostic performance compared to employing K\u2010TIRADS, S\u2010Detect software, CEUS used individually, as well as the combined application of K\u2010TIRADS with CEUS.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcu.23810","type":"journal-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:29:36Z","timestamp":1725542976000},"page":"1375-1385","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Integrating artificial intelligence (S\u2010Detect software) and contrast\u2010enhanced ultrasound for enhanced diagnosis of thyroid nodules: A comprehensive evaluation study"],"prefix":"10.1002","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7693-6078","authenticated-orcid":false,"given":"Lu\u2010Lu","family":"Zou","sequence":"first","affiliation":[{"name":"Department of Ultrasound Yichang Central 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