JIA Yan, PU Huan, PENG Juan, et al. Clinical value of virtual touch image quantification in differentiating benign and malignant breast lesions[J]. Journal of Clinical Ultrasound in Medicine, 2021,23(5):351-354.
JIA Yan, PU Huan, PENG Juan, et al. Clinical value of virtual touch image quantification in differentiating benign and malignant breast lesions[J]. Journal of Clinical Ultrasound in Medicine, 2021,23(5):351-354. DOI: 10.16245/j.cnki.issn1008-6978.2021.05.010.
恶性13个)。Vmax、Vmin、Vmean鉴别乳腺良恶性病灶截断值分别为5.66 m/s、3.53 m/s、4.84 m/s
其对应的敏感性、特异性、准确率、分别为77.4%、91.9%、85.8%
90.6%、87.1%、88.6%
84.0%、93.2%、89.4%
ROC曲线下面积分别为0.937、0.930、0.973
三者ROC曲线下面积比较差异无统计学意义。结论 VTIQ技术可用于乳腺实性病灶良恶性诊断
Vmax、Vmin、Vmean均具有较高的诊断效能。
Abstract
ObjectiveTo investigate the clinical application value of virtual touch image quantification(VTIQ)in differentiating benign and malignant breast solid lesions.MethodsA total of 238 patients with breast mass diagnosed by needle biopsy or surgical pathology in our hospital were selected
including 254 solid breast lesions(148 benign lesions and 106malignant lesions).VTIQ imaging velocity pattern
the maximum shear wave velocity(Vmax)
minimum shear wave velocity(Vmin)
and average shear wave velocity(Vmean)of breast lesions were detected by VTIQ.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic efficacy of Vmax
Vmin and Vmean in differentiating benign and malignant breast lesions.ResultsIn VTIQ imaging
the color coding speed mode of breast solid masses could be divided into 5 types
including 56 lesions were homogeneous type(54 benign and 2 malignant)
79 lesions were homogeneous type(74 benign masses and 5 malignant masses)
72 lesions were clutter type 7(17 benign and 55 malignant)
33 lesions were diffusion type(5 benign and 28 malignant)
14 lesions were hard ring(1 benign and 13 malignant).The cut-off values of Vmax
Vmin and Vmean in differentiating benign and malignant breast lesions were 5.66 m/s
3.53 m/s and 4.84 m/s
respectively.The corresponding sensitivity
specificity and accuracy were 77.4%
91.9%
85.8%
90.6%
87.1%
88.6%
84.0%
93.2%
89.4%
respectively.The area under the ROC curve of Vmax
Vmin and Vmean were 0.937
0.930 and 0.973
and the difference was not statistically significant.ConclusionVTIQ can be used in the diagnosis of benign and malignant breast solid lesions
and the Vmax
Vmin
Vmean have good diagnostic efficiency.
关键词
声触诊组织成像量化技术乳腺肿瘤良恶性
Keywords
Virtual touch image quantificationBreast tumorbenign and malignant