超声、临床及影像学参数预测甲状腺结节恶性的作用。

Frederico F R Maia, Patrícia S Matos, Bradley P Silva, Ana T Pallone, Elizabeth J Pavin, José Vassallo, Denise E Zantut-Wittmann
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引用次数: 35

摘要

背景:本研究旨在评估甲状腺结节的临床、实验室、超声和闪烁成像参数,建立临床应用于恶性肿瘤诊断的辅助模型。方法:我们评估了在单一中心接受手术治疗的143例患者,在1998-2008年期间,65%(93例)为良性病变,35%(50例)为恶性病变。比较临床、实验室、脑电图和超声特征,并通过多因素分析设计预测模型。结果:良、恶性结节组在性别、血清TSH、FT4水平、甲状腺自身抗体(TAb)、甲状腺功能障碍、闪烁图等指标上均无差异(P=0.33)。当发现恶性病变组结节存在可疑特征时,超声检查显示差异,如:微钙化、中心血流、边界不规则、低回声。多因素分析后得出的模型显示年龄(>39岁)、边界不规则、微钙化和结节大小大于2 cm是恶性肿瘤的预测因素,准确率为81.7%。结论:本研究证实了39岁以上且有可疑特征的患者发生恶性肿瘤的风险显著增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Role of ultrasound, clinical and scintigraphyc parameters to predict malignancy in thyroid nodule.

Role of ultrasound, clinical and scintigraphyc parameters to predict malignancy in thyroid nodule.

Role of ultrasound, clinical and scintigraphyc parameters to predict malignancy in thyroid nodule.

Role of ultrasound, clinical and scintigraphyc parameters to predict malignancy in thyroid nodule.

Background: This study aimed to evaluate clinical, laboratory, ultrasound (US) and scintigraphyc parameters in thyroid nodule and to develop an auxiliary model for clinical application in the diagnosis of malignancy.

Methods: We assessed 143 patients who were surgically treated at a single center, 65% (93) benign vs. 35% (50) malignant lesions at final histology (1998-2008). The clinical, laboratory, scintigraphyc and US features were compared and a prediction model was designed after the multivariate analysis.

Results: There were no differences in gender, serum TSH and FT4 levels, thyroid auto-antibodies (TAb), thyroid dysfunction and scintigraphyc results (P=0.33) between benign and malignant nodule groups. The sonographic study showed differences when the presence of suspected characteristics was found in the nodules of the malignant lesions group, such as: microcalcifications, central flow, border irregularity and hypoechogenicity. After the multivariate analysis the model obtained showed age (>39 years), border irregularity, microcalcifications and nodule size over 2 cm as predictive factors of malignancy, featuring 81.7% of accuracy.

Conclusions: This study confirmed a significant increase of risk for malignancy in patients of over 39 years and with suspicious features at US.

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