Differentiation of benign from malignant nonpalpable breast masses: A comparison of computer-assisted quantification and visual assessment of lesion stiffness with the use of sonographic elastography
Differentiation of benign from malignant nonpalpable breast masses: A comparison of computer-assisted quantification and visual assessment of lesion stiffness with the use of sonographic elastography
复制标题
DOI：
10.3109/02841850903273966
复制
发表时间：
2010-02-01
期刊：
影响因子：
1.3
通讯作者：
Kim, Kwang Gi
中科院分区：
文献类型：
--
作者：
Chung, Se Yeong;Moon, Woo Kyung;Kim, Kwang Gi
背景资料：弹性成像在区分良性和恶性乳腺肿瘤方面显示出潜力，但有经验和无经验的读者之间的观察者差异限制了其广泛使用。目的：比较计算机辅助量化和病变硬度视觉评估与超声弹性成像在区分良性和恶性不可触及乳腺肿块方面的诊断性能。材料和方法：超声弹性图像的120个不可触及的乳腺肿块（70良性和50恶性肿块）在120名妇女进行芯活检前获得。彩色弹性图像减影后，计算病变的平均应变值。弹性图像也进行了审查，并分配了一个五分制的评分由两个乳房放射科医生达成共识。结果：恶性病变的应变均值±标准差为221 ± 18，良性病变为175 ± 21（P < 0.001）。对于弹性评分，恶性肿块的平均评分为3.5 ± 0.1，良性肿块的平均评分为2.0 ± 0.9（P < 0.001）。应变值与弹性评分之间的Pearson相关系数为0.698（P < 0.001）。ROC曲线下面积（A（z））值为0.878，用于计算机辅助定量方法和0.850，由放射科医师进行视觉评估。差异无统计学意义（P = 0.198）。结论：计算机辅助量化和视觉评估的病变硬度与超声弹性图像的使用具有可比的诊断性能的分化不可触及的乳腺肿块。
Background: Elastography has shown potential in differentiating benign from malignant breast tumors, but interobserver variability between experienced and inexperienced readers limits its wide usage.Purpose: To compare the diagnostic performance of computer-assisted quantification and visual assessment of lesion stiffness with the use of sonographic elastography for the differentiation of benign from malignant nonpalpable breast masses.Material and Methods: Sonographic elasticity images of 120 nonpalpable breast masses (70 benign and 50 malignant masses) were obtained in 120 women prior to performing a core biopsy. After subtraction of B-mode images from color elasticity images, the mean strain value of the lesion was computed. Elasticity images were also reviewed and were assigned a score on a five-point scale by two breast radiologists in consensus. Results were evaluated by using receiver operating characteristic (ROC) curve analysis.Results: The mean +/- standard deviation values of strain were 221 +/- 18 for malignant lesions and 175 +/- 21 for benign lesions (P < 0.001). For the elasticity score, the mean score was 3.5 +/- 0.1 for the malignant masses and 2.0 +/- 0.9 for the benign masses (P < 0.001). The overall Pearson's correlation coefficient between the strain values and elasticity score was 0.698 (P < 0.001). The area under the ROC curve (A(z)) value was 0.878 for use of the computer-assisted quantification method and 0.850 for visual assessment by the radiologists. The difference was not statistically significant (P = 0.198).Conclusion: Computer-assisted quantification and visual assessment of lesion stiffness with the use of sonographic elasticity images had comparable diagnostic performance for the differentiation of nonpalpable breast masses.