摘要
目的探讨声触诊组织成像定量(VTIQ)技术联合高频超声对腮腺良恶性肿块的诊断价值。方法回顾性分析行高频超声及VTIQ技术检查且经病理结果证实的83个腮腺肿块。分析高频超声、VTIQ特征以及二者联合对腮腺肿块良恶性的诊断效能。结果多因素回归分析表明,肿块直径>24.5 mm、边界不清、后方回声无增强、肿块内无液化和血流丰富是恶性腮腺肿块的独立预测特征。具备3个以上恶性超声特征鉴别腮腺肿块良恶性的准确性为66.3%。剪切波速度最大值>6.345 m/s是恶性腮腺肿块的弹性成像独立预测特征,其鉴别腮腺肿块良恶性的准确性为77.1%。二者联合具备4个以上恶性特征鉴别腮腺肿块良恶性的准确性为79.5%。二者联合诊断的准确性高于单独使用高频超声诊断,差异有统计学意义(P<0.05)。结论将VTIQ技术与高频超声联合使用可提高对腮腺肿块良恶性的诊断效能。
Objective To explore the diagnostic value of virtual touch tissue imaging quantification(VTIQ)technique combined with high-frequency ultrasound in diagnosis of benign and malignant parotid masses.Methods A total of 83 parotid masses undergoing high-frequency ultrasound and VTIQ confirmed by pathology were retrospectively analyzed.The diagnostic efficacy of high frequency ultrasound and VTIQ and theiRcombination in diagnosis of benign and malignant parotid masses was analyzed.Results Multivariate regression analysis showed that diameter of tumor >24.5 mm,ambiguous boundary,no enhancement of posterior echo,no liquefaction within the mass and abundant blood flow were independent predictive features of malignant parotid mass.The accuracy of distinguishing benign and malignant parotid masses with more than 3 malignant ultrasonic features was 66.3%.The maximum shear velocity>6.345 m/s was an independent predictive feature of malignant parotid mass,with an accuracy of 77.1%.The accuracy of distinguishing benign and malignant parotid masses with more than 4 malignant features was 79.5%.The accuracy of combined diagnosis was significantly higher than that of high-frequency ultrasound alone(P<0.05).Conclusion The combination of VTIQ technology and high-frequency ultrasound can improve the diagnostic efficiency of benign and malignant parotid masses.
作者
马倩
毛翠莲
李奥
胡彧
MA Qian;MAO Cuilian;LI Ao;HU Yu(Department of Ultrasound Medicine,the First Affiliated Hospital of Nanjing Medical University,Nanjing,Jiangsu,210029)
出处
《实用临床医药杂志》
2023年第14期9-12,18,共5页
Journal of Clinical Medicine in Practice
基金
南京医科大学教育研究课题(2021ZC061)。
关键词
腮腺肿块
高频超声
声触诊组织成像定量
诊断价值
准确性
parotid masses
high-frequency ultrasound
virtual touch tissue imaging quantification
diagnostic value
accuracy