Diagnostic analysis of contrast-enhanced ultrasound features in malignant partially cystic thyroid nodules.

Guo Chen, Yanfang Wang, Guojuan Wang, Rong Yang, Ran Zheng, Yuanqing Zhang, Xiaorong Lv, Fang Nie
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Abstract

ObjectivePartially cystic thyroid nodules (PCTNs) are frequently underestimated in clinical practice and managed conservatively, potentially increasing the risk of cervical lymph node metastasis. This study aims to explore the contrast-enhanced ultrasound features associated with malignancy in PCTNs.MethodsThis retrospective study included 94 PCTNs from 87 patients in the Second Hospital of Lanzhou University between January 2019 and December 2024. Conventional ultrasound, contrast-enhanced ultrasound (CEUS) features, and clinical data of the nodules were analyzed. Using pathological diagnosis as the gold standard, univariate and multivariate logistic regression analyses were conducted to identify independent predictors of malignancy in PCTNs. A predictive model was subsequently developed, and its diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis.ResultsCentrifugal perfusion, an ill-defined enhancement boundary, faster washout, and the absence of a peripheral high-enhancement ring are independent predictors of malignant PCTNs. The resulting predictive model exhibited excellent diagnostic performance for PCTNs, with a sensitivity of 92.7%, a specificity of 92.5%, a Youden index of 0.852, and an AUC of 0.968.ConclusionsCEUS features are valuable in differentiating malignant nodules from benign PCTNs, improving physicians' diagnostic confidence in distinguishing benign and malignant PCTNs, and assisting clinicians in clinical decision-making.

甲状腺部分囊性恶性结节的超声造影诊断分析。
目的部分囊性甲状腺结节(PCTNs)在临床实践中经常被低估,治疗保守,可能增加颈部淋巴结转移的风险。本研究旨在探讨pctn的造影增强超声特征与恶性肿瘤的关系。方法回顾性研究2019年1月至2024年12月兰州大学第二医院87例患者的94例pctn。分析常规超声、超声造影(CEUS)表现及临床资料。以病理诊断为金标准,进行单因素和多因素logistic回归分析,以确定pctn恶性肿瘤的独立预测因素。随后建立了预测模型,并使用受试者工作特征(ROC)曲线分析评估其诊断性能。结果离心灌注、强化边界不明确、快速冲洗和周围高强化环缺失是恶性pctn的独立预测因素。所建立的预测模型对pctn具有良好的诊断性能,敏感性为92.7%,特异性为92.5%,约登指数为0.852,AUC为0.968。结论sceus特征对鉴别良、恶性PCTNs具有重要价值,可提高医生鉴别良、恶性PCTNs的诊断信心,协助临床医生进行临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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