Sultan Laith R, Xiong Hui, Zafar Hanna M, Schultz Susan M, Langer Jill E, Sehgal Chandra M
Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ultrasound Med Biol. 2015 May;41(5):1287-93. doi: 10.1016/j.ultrasmedbio.2015.01.001. Epub 2015 Feb 9.
Our objective was to assess the role of quantitative Doppler vascularity in differentiating malignant and benign thyroid nodules. Color Doppler images of 100 nodules were analyzed for three metrics: vascular fraction area, mean flow velocity index and flow volume index in three regions (nodule center, nodule rim and surrounding parenchyma). Vascular fraction area and flow volume index were higher in malignant than benign nodules in both the central and rim regions, whereas flow velocity index was equivalent in both regions. Of the three vascularity metrics studied, the vascular fraction area of the central region was most effective in predicting malignancy, with a sensitivity of 0.90 ± 0.05, specificity of 0.88 ± 0.13, positive predictive value of 0.84 ± 0.14, negative predictive value of 0.92 ± 0.03 and accuracy of 0.89 ± 0.08. Quantitative Doppler vascularity of the nodule center yielded a high level of discrimination between benign and malignant nodules and, thus, has the greatest potential to contribute to gray-scale assessment of thyroid cancer.
我们的目的是评估定量多普勒血管成像在鉴别甲状腺良恶性结节中的作用。对100个结节的彩色多普勒图像分析了三个指标：血管分数面积、平均流速指数和三个区域（结节中心、结节边缘和周围实质）的血流量指数。在中央和边缘区域，恶性结节的血管分数面积和血流量指数均高于良性结节，而流速指数在两个区域相当。在所研究的三个血管指标中，中央区域的血管分数面积对预测恶性肿瘤最有效，敏感性为0.90±0.05，特异性为0.88±0.13，阳性预测值为0.84±0.14，阴性预测值为0.92±0.03，准确性为0.89±0.08。结节中心的定量多普勒血管成像在鉴别良性和恶性结节方面具有较高的分辨能力，因此，在甲状腺癌的灰阶评估中具有最大的潜在作用。
