Value of conventional ultrasound, ultrasound elasticity imaging, and acoustic radiation force impulse elastography for prediction of malignancy in breast lesions

2020 ◽  
Vol 74 (3) ◽  
pp. 241-253 ◽  
Author(s):  
Shupin Zhang ◽  
Jing Wan ◽  
Hui Liu ◽  
Minghua Yao ◽  
Lihua Xiang ◽  
...  
Keyword(s):  
Acoustic Radiation ◽  
Radiation Force ◽  
Acoustic Radiation Force ◽  
Acoustic Radiation Force Impulse ◽  
Breast Lesions ◽  
Elasticity Imaging ◽  
Conventional Ultrasound ◽  
Ultrasound Elasticity Imaging

Breast Lesions Evaluated by Color-Coded Acoustic Radiation Force Impulse (ARFI) Imaging

2016 ◽  
Vol 42 (7) ◽  
pp. 1464-1472 ◽  
Author(s):  
JianQiao Zhou ◽  
ZhiFang Yang ◽  
WeiWei Zhan ◽  
JingWen Zhang ◽  
Na Hu ◽  
...  
Keyword(s):  
Acoustic Radiation ◽  
Radiation Force ◽  
Acoustic Radiation Force ◽  
Acoustic Radiation Force Impulse ◽  
Breast Lesions ◽  
Arfi Imaging

Clinical application of Acoustic Radiation Force Impulse Imaging with Virtual Touch IQ in breast ultrasound: diagnostic performance and reproducibility of a new technique

2016 ◽  
Vol 58 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Panagiotis Kapetas ◽  
Katja Pinker-Domenig ◽  
Ramona Woitek ◽  
Paola Clauser ◽  
Maria Bernathova ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Clinical Setting ◽  
Diagnostic Performance ◽  
Acoustic Radiation ◽  
Radiation Force ◽  
Acoustic Radiation Force ◽  
Acoustic Radiation Force Impulse ◽  
Breast Lesions ◽  
Cutoff Value ◽  
Arfi Imaging

Background Virtual Touch IQ (VTIQ) is a novel technique of quantitative sonoelastography that applies acoustic radiation force impulse (ARFI). Purpose To evaluate breast ARFI imaging with VTIQ in the clinical setting, with regard to reproducibility and diagnostic performance, and to specify cutoff limits for the differentiation of benign and malignant lesions. Material and Methods This retrospective study included 83 patients with 85 breast lesions (51 benign, 34 malignant) who received ARFI imaging with VTIQ. Two independent ARFI measurements of each lesion were performed and shear wave velocities (SWV) of the lesion and the adjacent tissues were measured. A lesion-to-fat velocity ratio (L/F Ratio) was calculated for each lesion. Diagnostic performance of SWV measurements and L/F Ratios was evaluated with receiver operating curve (ROC) analysis. The intraclass correlation coefficient and Bland–Altman plots were used to evaluate measurement reproducibility. Results All measurements showed equal diagnostic performance, as measured by the area under the ROC curve (0.853 for SWV, 0.882 for the L/F Ratio). At a cutoff value of 3.23 m/s, sensitivity and specificity were 82.4% and 80.4%, respectively. An L/F Ratio cutoff value of 2.23 revealed a sensitivity and specificity of 89.7% and 76.5%. The reproducibility of the SWV measurements was moderate (limits of agreement, 40.3–44.4%) and higher than that of the L/F Ratios (54.5–60.2%). Conclusion ARFI imaging with VTIQ is a novel, moderately reproducible, quantitative elastography technique, which provides useful information for the differentiation of benign and malignant breast lesions in the clinical setting.

ARFI ELASTOGRAPHY IN THE DIAGNOSIS OF FOCAL BREAST LESIONS

2017 ◽  
pp. 23-29
Author(s):  
Thi Kim Yen Vo ◽  
Phuoc Bao Quan Nguyen ◽  
Thanh Thao Nguyen
Keyword(s):  
Malignant Tumors ◽  
Acoustic Radiation ◽  
Radiation Force ◽  
Acoustic Radiation Force ◽  
Acoustic Radiation Force Impulse ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Focal Lesions ◽  
Arfi Elastography ◽  
2D Ultrasound

Objective: To describe the sonographic characteristics of the focal breasst lesions using Acoustic Radiation Force Impulse Imaging (ARFI), and to evaluate the role of ARFI technique in combination with 2D Ultrasound in diagnosing focal breast lesions. Methods: 2D Ultrasound and ARFI Elastography were caried out in 52 patients who have focal lesions of breast. Images of 2D Ultrasound were classified according to ACR 2013. ARFI Elastography was performed by 2 techniques: “Virtual Touch HD tissue imaging” in order to image of strain distribution and “Virtual Touch HD Tissue quantification imaging” to measure the shear wave velocity (SWV) in the tissue. Strain distribution was classified according to Ako Itoh scale. SWV were measured in 4 positions: internal the lesion (SWVi), boundary zone (SWVb), glandular tissue and fatty tissue next to lesion (SWg and SWf). According to the results of pathology, we determine and compare the value between 2D Ultrasound plus ARFI elastography and 2D Ultrasound alone. Results: 52 patients with breast focal lesions: 22 malignant tumors and 30 benign tumors. Mean Ako Itoh scale of benign tumors were 2.19 ± 1.13 and malignant tumors were 4.72 ± 0.55; the cut-off value was between E3 và E4. SWVi, SWVb, SWVf, SWVg of benign tumors were lower than malignant tumors with cut-off values were 3.32 m/s; 6.01m/s; 1.08m/s; 2.37m/s, respectively. 2D Ultrasound plus ARFI Elastography: Se 100%, Sp 90%, PPV 88%, NPV 100%, Acc 94.2% (p<0.001, K = 0.884). Conclutions: In addition to the morphologic characteristics of breast lesions, ARFI provides information about lesion’s tissue elasticity, which can be a useful tool to differentitate malignant lesions from benign ones. Key words: elastography, focal breast lesions, Acoustic Radiation Force Impulse Imaging

scholarly journals Acoustic Radiation Force Based Ultrasound Elasticity Imaging for Biomedical Applications

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2252 ◽  
Author(s):  
Lulu Wang
Keyword(s):  
Mechanical Properties ◽  
Clinical Diagnosis ◽  
Biological Tissue ◽  
Biomedical Applications ◽  
Acoustic Radiation ◽  
Radiation Force ◽  
Biological Tissues ◽  
Acoustic Radiation Force ◽  
Elasticity Imaging ◽  
Ultrasound Elasticity Imaging

Pathological changes in biological tissue are related to the changes in mechanical properties of biological tissue. Conventional medical screening tools such as ultrasound, magnetic resonance imaging or computed tomography have failed to produce the elastic properties of biological tissues directly. Ultrasound elasticity imaging (UEI) has been proposed as a promising imaging tool to map the elastic parameters of soft tissues for the clinical diagnosis of various diseases include prostate, liver, breast, and thyroid gland. Existing UEI-based approaches can be classified into three groups: internal physiologic excitation, external excitation, and acoustic radiation force (ARF) excitation methods. Among these methods, ARF has become one of the most popular techniques for the clinical diagnosis and treatment of disease. This paper provides comprehensive information on the recently developed ARF-based UEI techniques and instruments for biomedical applications. The mechanical properties of soft tissue, ARF and displacement estimation methods, working principle and implementation instruments for each ARF-based UEI method are discussed.

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