LeCarpentier Gerald L, Roubidoux Marilyn A, Fowlkes J Brian, Krücker Jochen F, Hunt Karen A, Paramagul Chintana, Johnson Timothy D, Thorson Nancy J, Engle Karen D, Carson Paul L
Department of Radiology, University of Michigan, Ann Arbor, MI 48109-0553, USA.
Radiology. 2008 Nov;249(2):463-70. doi: 10.1148/radiol.2492060888.
To assess the diagnostic performance of various Doppler ultrasonographic (US) vascularity measures in conjunction with grayscale (GS) criteria in differentiating benign from malignant breast masses, by using histologic findings as the reference standard.
Institutional Review Board and HIPAA standards were followed. Seventy-eight women (average age, 49 years; range, 26-70 years) scheduled for breast biopsy were included. Thirty-eight patient scans were partially analyzed and published previously, and 40 additional scans were used as a test set to evaluate previously determined classification indexes. In each patient, a series of color Doppler images was acquired and reconstructed into a volume encompassing a suspicious mass, identified by a radiologist-defined ellipsoid, in which six Doppler vascularity measures were calculated. Radiologist GS ratings and patient age were also recorded. Multivariable discrimination indexes derived from the learning set were applied blindly to the test set. Overall performance was also confirmed by using a fourfold cross-validation scheme on the entire population.
By using all cases (46 benign, 32 malignant), the area under the receiver operating characteristic curve (A(z)) values confirmed results of previous analyses: Speed-weighted pixel density (SWPD) performed the best as a diagnostic index, although statistical significance (P = .01) was demonstrated only with respect to the normalized power-weighted pixel density. In both learning and test sets, the three-variable index (SWPD-age-GS) displayed significantly better diagnostic performance (A(z) = 0.97) than did any single index or the one two-variable index (age-GS) that could be obtained without the data from the Doppler scan. Results of the cross validation confirmed the trends in the two data sets.
Quantitative Doppler US vascularity measurements considerably contribute to malignant breast tissue identification beyond subjective GS evaluation alone. The SWPD-age-GS index has high performance (A(z) = 0.97), regardless of incidental performance variations in its single variable components.
以组织学结果作为参考标准,评估各种多普勒超声(US)血管造影测量方法与灰度(GS)标准相结合在鉴别乳腺良恶性肿块方面的诊断性能。
遵循机构审查委员会和健康保险流通与责任法案(HIPAA)标准。纳入78名计划进行乳腺活检的女性(平均年龄49岁;范围26 - 70岁)。38例患者的扫描图像先前已进行部分分析并发表,另外40例扫描图像用作测试集以评估先前确定的分类指标。对每位患者,采集一系列彩色多普勒图像并重建为包含可疑肿块的容积,该肿块由放射科医生定义的椭圆体确定,在其中计算六种多普勒血管造影测量值。还记录放射科医生的GS评级和患者年龄。从学习集中得出的多变量鉴别指标被盲目应用于测试集。通过对整个人群使用四重交叉验证方案也证实了总体性能。
使用所有病例(46例良性,32例恶性),受试者操作特征曲线下面积(A(z))值证实了先前分析的结果:速度加权像素密度(SWPD)作为诊断指标表现最佳,尽管仅相对于归一化功率加权像素密度具有统计学意义(P = 0.01)。在学习集和测试集中,三变量指标(SWPD - 年龄 - GS)显示出比任何单一指标或不使用多普勒扫描数据时可获得的一个双变量指标(年龄 - GS)显著更好的诊断性能(A(z) = 0.97)。交叉验证结果证实了两个数据集中的趋势。
定量多普勒超声血管造影测量对乳腺恶性组织的识别有很大贡献,超越了单纯主观的GS评估。SWPD - 年龄 - GS指标具有高性能(A(z) = 0.97),无论其单个变量成分的偶然性能变化如何。