关键词: TIRADS contrast-enhanced ultrasound microvascular thyroid CEUS thyroid cancer

Mesh : Humans Thyroid Nodule / diagnostic imaging pathology Male Female Ultrasonography / methods Thyroid Neoplasms / diagnostic imaging pathology Middle Aged Adult Contrast Media Aged Thyroidectomy

来  源:   DOI:10.3389/fendo.2024.1417449   PDF(Pubmed)

Abstract:
Contrast-enhanced ultrasonography (CEUS) has been established as a diagnostic tool for assessing microvascularization, essential for understanding angiogenesis in neoplastic development.
OBJECTIVE: This study assesses the effectiveness of CEUS as a supplementary tool to TIRADS in enhancing the ultrasound-based diagnosis of thyroid cancer.
METHODS: Over one year, 157 nodules in 133 patients, with predominantly solid thyroid nodules, were examined using ultrasound and CEUS and underwent thyroidectomy, allowing for a comparison of ultrasound findings with pathological reports.
RESULTS: Thyroid cancer was identified in 31.21% (49/157) of cases. Significant CEUS high-risk features included inhomogeneous enhancement, enhancement defects, and complete hypoenhancement (AUC 0.818, 0.767, 0.864 respectively). Nodules exhibiting any of these features were classified as high-risk in CEUS. The diagnostic performance of TIRADS improved when combined with CEUS, with AUC increasing from 0.707 to 0.840 and improved sensitivity.
CONCLUSIONS: The integration of CEUS with TIRADS significantly enhances the diagnostic accuracy and specificity in identifying thyroid cancer. This combination proves to be a more effective method for risk stratification and diagnosis, highlighting the value of CEUS as an adjunctive tool in thyroid cancer evaluation.
摘要:
超声造影(CEUS)已被确立为评估微血管形成的诊断工具,对于理解肿瘤发展中的血管生成至关重要。
目的:本研究评估了CEUS作为TIRADS的辅助工具在增强基于超声的甲状腺癌诊断中的有效性。
方法:一年以上,133例患者中有157个结节,以甲状腺实性结节为主,使用超声和CEUS检查,并接受甲状腺切除术,允许将超声检查结果与病理报告进行比较。
结果:在31.21%(49/157)的病例中发现了甲状腺癌。显著的CEUS高风险特征包括不均匀增强,增强缺陷,和完全增强(AUC分别为0.818、0.767、0.864)。表现出任何这些特征的结节在CEUS中被归类为高风险。与CEUS结合使用时,TIRADS的诊断性能得到改善,AUC从0.707增加到0.840,灵敏度提高。
结论:CEUS与TIRADS的结合显着提高了诊断甲状腺癌的准确性和特异性。这种组合被证明是一种更有效的风险分层和诊断方法,强调CEUS作为甲状腺癌评估辅助工具的价值。
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