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中国癌症防治杂志

中国癌症防治杂志 ›› 2013, Vol. 5 ›› Issue (3): 250-253.doi: 10.3969/j.issn.1674-5671.2013.03.14

• 临床研究 • 上一篇    下一篇

高频彩超检查对腮腺肿块的诊断价值

  

  1. 广西医科大学附属肿瘤医院物理诊断中心
  • 出版日期:2013-09-25 发布日期:2013-10-10
  • 通讯作者: 李 航 E-mail:lihang58@126.com

Diagnostic value of high-frequency color Doppler ultrasound for detecting parotid masses

  • Online:2013-09-25 Published:2013-10-10

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摘要： 目的 评价高频彩超检查对腮腺肿块的诊断及鉴别诊断的价值。方法 应用高频彩超对58例腮腺肿块的患者进行检查，并结合病理检查结果分析、总结腮腺肿块的超声图像特征。结果 高频彩超检查对腮腺肿块的总检出率为100%，对腮腺良、恶性肿块的诊断符合率分别为87.2%、68.4%，其中腮腺囊肿诊断符合率为100%。二维超声检查中腮腺良、恶性肿块在形态、边界、边缘和内部回声方面的差异均有统计学意义（P<0.05）。彩色多普勒血流显像对腮腺良、恶性肿块血流信号的检出率分别为82.1%、94.7%。以收缩期峰值流速≥23.8 cm/s作为诊断腮腺恶性肿块阈值的标准，脉冲多普勒诊断的敏感度和特异度分别为73.7%和71.8%；以阻力指数≥0.68（除混合瘤外）作为诊断腮腺恶性肿块阈值的标准，其诊断敏感度和特异度分别为73.3%和85.0%。结论 高频彩超检查对腮腺肿块的检出率及诊断符合率均较高，对腮腺肿块的定性诊断有重要的临床应用价值。

关键词:  腮腺肿块, 高频彩超, 彩色多普勒血流显像, 诊断

Abstract: Objective To assess the diagnostic value of high-frequency color Doppler ultrasound（HCDU） for detecting parotid masses. Methods A total of 58 patients with parotid masses were analyzed by pathology and by HCDU，and the diagnostic performance of the two methods was compared. Results HCDU detected 100% of masses. Diagnostic coincidence rates were 87.2% for benign masses， 68.4% for malignant masses and 100% for cysts. Two-dimensional ultrasound detected significant differences between benign and malignant parotid masses in shape，boundary，edge and internal echo（P<0.05）.Color Doppler flow imaging （CDFI） detected blood flow signals in 82.1% of benign and 94.7% of malignant masses.HDCU showed a sensitivity of 73.7% and a specificity of 71.8% based on a peak systolic velocity≥23.8 cm/s as indicative of a malignant mass；the corresponding values were 73.3% and 85.0% based on a resistance index≥0.68 as indicative of a malignant mass（including mixed tumors）. Conclusion HCDU showed high rates of detection and diagnostic coincidence for parotid masses， and it proved helpful for assessing the characteristics of parotid tumors.

Key words: Parotid masses, High-frequency color Doppler ultrasound, Color Doppler flow imaging, Diagnosis