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1014.7 Ultrasound Elastography
Fig. 4.15 Breast carcinoma. Mixed type of color pattern. Grayscale US and elastography
102
4 Ultrasound Diagnosis of Breast Cancer
Fig. 4.15 (continued)
1034.7 Ultrasound Elastography
Fig. 4.15 (continued)
104
4 Ultrasound Diagnosis of Breast Cancer
Fig. 4.15 (continued)
1054.7 Ultrasound Elastography
Fig. 4.16 Sonoelastography. Irregular staining of the lesion. Grayscale US and elastography
106
4 Ultrasound Diagnosis of Breast Cancer
Fig. 4.16 (continued)
1074.7 Ultrasound Elastography
13 %
Fig. 4.17 Intensity of staining of malignant breast lesions
with US elastography
18%
Homogeneous color Heterogeneous color
Fig. 4.18 Homogeneity of staining of malignant breast
lesions with US elastography
Table 4.2 Diagnostic value of US elastography in diag-
nosis of breast carcinoma
Breast carcinoma US+ 1,093 57 US– 174 5,376 Sensitivity 86 % Speci fi city 99 % Prognostic value of positive result 95 % Prognostic value of negative result 97 %
Breast carcinoma US and elastography+ 88 3 US and elastography– 4 1,134 Sensitivity 96 % Speci fi city 99 % Prognostic value of positive result 97 % Prognostic value of negative result 99 %
11 %
76 %
Intensive color Poor color No color
82%
Positive cancer with histology
Positive cancer with histology
Negative cancer with histology
Negative cancer with histology
High operator dependency and intra- and • interobserver variability Certain limits of compression of the breast • (discomfort), especially in patients with anatomic, constitutional, psychological, emotional, or physiological variants “Noises” and artifacts
Quantitative assessment of elasticity is much more objective. So, numerical representation is preferable to interpret tissue elasticity precisely. Strain ratio, elastic modulus, and others are offered.
Shear-wave elastography permits objective de fi nition of the velocity of shear waves in tissues and calculation of Young’s modulus of elasticity in kPa. It enables quantitative elastographic assessment of the status of breast tissue (Postnova et al. 2011 ; Mitkov et al. 2011 ) .
The method utilizes focused US beam to induce acoustic shear wave and works in real time. The distinctive feature of the technology is absence of direct tissue compression. The results are more objective, well reproduced, and opera­tor independent. Additionally, it permits to assess the stiffness of deeply located lesions, which are impossible to assess with compression elastogra­phy. An elastic index in normal tissues and in benign dysplastic breast changes is 2–22 kPa. In breast carcinoma, it ranges from 65 kPa to 297 kPa, in benign lesions 17–30 kPa, and in cysts 1.7–10 kPa (Postnova et al. 2011 ) .
One example of the technology of shear-wave elastography is Acoustic Radiation Force Impulse (ARFI), which forms the basis of Virtual Touch Tissue Quanti fi cation. Tissue elasticity is in inverse relationship with the velocity of shear wave generated with high-power acoustic impulse. The measurement of this velocity, which is done automatically and displayed in m/s, enables to make an objective opinion about the rigidity of examined structures (e.g., breast lesions) (Zubarev 2009 ) (Fig.
4.22 ).
US probe during ARFI measurements is posi­tioned over the lesion with sample volume gate in its center. The time of measurement that passes in
108
4 Ultrasound Diagnosis of Breast Cancer
Fig. 4.19 Difference in dimensions of malignant breast lesions in grayscale mode and sonoelastography
1094.7 Ultrasound Elastography
Fig. 4.19 (continued)
110
4 Ultrasound Diagnosis of Breast Cancer
Fig. 4.19 (continued)