摘要
目的:探讨声触诊组织定量技术(VTQ)在甲状腺良恶性结节鉴别诊断中的应用价值。方法 :选取我院2013年2月—2015年7月期间,经超声VTQ成像检测其横向剪切波速度(SWV)并经手术或穿刺活检后病理证实的113例患者147个甲状腺结节,按照其最终病理结果分成良性结节组(n=52)和恶性结节组(n=95),对各组的SWV值进行回顾性分析,绘制ROC曲线图,获得甲状腺结节区分良恶性SWV值的临界点。结果:147个结节中良性结节52个,SWV平均值为(2.36±0.44)m/s;恶性结节95个,SWV平均值为(3.65±0.81)m/s,两者差异有统计学意义(P<0.01)。根据良性及恶性结节SWV值绘制ROC曲线,曲线下面积为0.92±0.02,分析得出良恶性结节的SWV值临界点为2.96,其对应的敏感性、特异性、准确率、阳性预测值和阴性预测值分别为85.3%(81/95)、88.5%(46/52)、86.4%(127/147)、93.1%(71/87)和76.7%(46/60)。结论:VTQ可作为甲状腺良恶性结节的鉴别诊断依据,具有一定的临床应用价值。
Objective： To explore the application value of virtual touch tissue quantification （VTQ） in the differential diagnosis of benign and malignant thyroid nodules. Methods： One hundred and thirteen patients with 147 thyroid nodules undergoing thyroid nodules surgery or biopsies after thyroid nodules VTQ examination were retrospectively reviewed. The shears wave velocity （Vs） was measured. The patients were selected from our hospital during Feb. 2013 to Jul. 2015. All cases were divided into benign nodules group （n=52） and malignant nodules group （n=95）, according to the pathological results. The Vs of the two groups were detected and statistically analyzed. The ROC curve was drawn, and finally the critical point distinguishing the benign and malignant thyroid nodules Vs was defined. Results： In the 147 focuses, there were 52 benign nodules with the average Vs （2.36±0.44）, while 95 malignant nodules with the average Vs （3.65±0.81）. There were statistical differences between them （P〈0.01）. The ROC curve was drawn according to the SWV of the benign malignant nodule. The area under the curve was 0.92±0.02. After analysis, it was concluded that the critical point of the benign and malignant thyroid nodules SWV was 2.96. The corresponding sensitivity, specificity, accuracy, PPV and NPV were 85.3%, 88.5%, 86.4%, 93.1% and 76.7%. Conclusion： VTQ can be regarded as the differential diagnosis basis for benign and malignant thyroid nodules, and has some application value in clinical diagnosis.
出处
《中国临床医学影像杂志》
CAS
北大核心
2016年第9期612-615,共4页
Journal of China Clinic Medical Imaging
