Preliminary Results of Acoustic Radiation Force Impulse (ARFI) Ultrasound Imaging of Breast Lesions

Meng, Wei; Zhang, Guangchen; Wu, Changjun; Wu, Guozhu; Song, Yan; Lu, Zhaoling

doi:10.1016/j.ultrasmedbio.2011.05.022

Cited by 130 publications

(85 citation statements)

References 18 publications

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“…Wojcinski et al reported that the mean VTQ value between benign and malignant breast tumor was statistically different (p < 0.001) and the cutoff point for malignancy was set to X.XX m/s [14]. The range of VTQ values is estimated to be between 0.8 and 8.4 m/s, and VTQ values beyond this range are displayed as X.XX m/s, excluding possible influencing factors such as patient's respiration and operator's inappropriate gesture, the value of X.XX m/s is allocated to be less than 0.8 m/s or more than 8.4 m/s [15].…”

Section: Discussionmentioning

confidence: 99%

Stiffness of salivary gland and tumor measured by new ultrasonic techniques: Virtual touch quantification and IQ

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Stiffness of salivary gland and tumor measured by new ultrasonic techniques: Virtual touch quantification and IQ

et al. 2015

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“…In other words, both extremely hard and soft tissue can be shown as "x.xxm/s" 15) . The value of "x.xxm/s" was allocated to be 0 m/s or 9 m/s with 0 m/s to cystic LNs and 9 m/s to solid Lns 16) . The measurement was repeated for 5 times and the mean measurement was then calculated for the following analysis.…”

Section: Measurement Of Swv With Vttqmentioning

confidence: 99%

Comparison of Virtual Touch Tissue Quantification with Strain Ratio in Differentiating Malignant from Benign Cervical Lymph Nodes

Sun

Qiu

et al. 2015

J. Hard Tissue Biology.

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The aim of this study was to compare the diagnostic value of virtual touch tissue quantification (VTTQ) and strain ratio (SR) in differentiating malignant from benign cervical lymph nodes (LNs). The local institutional review board approved the study, and all patients provided written informed consent. A total of 144 LNs in 144 patients were examined with ultrasound elastography (UE) to obtain the SR, and with VTTQ technique to obtain the shear wave velocity (SWV) before taking core biopsies for standard reference. A receiveroperating characteristic (ROC) curve was generated to obtain the area under the curve (AUC) and the optimal cut-off point, after which the sensitivity, specificity, and accuracy of the two techniques were compared. In 144 LNs, 52 LNs were benign and 92 LNs were malignant. With ROC curve analysis, the optimal cut-off point was 2.170 for SR and 2.507 for VTTQ. The sensitivity, specificity and accuracy of SR and VTTQ were 78.26 %, 82.69 %, 79.86 % and 89.13 %, 90.38 %, 89.58 %, respectively. Specificity and accuracy were significantly higher for VTTQ than for SR (P<0.05). VTTQ is more accurate than SR in differential diagnosis of benign and malignant cervical LNs.

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“…The selected best cutoff point for the VTTQ velocity was 2.87 m/s. (17,25). The components of the central area were heterogeneous, and the opposite sound waves of the incident element were generally defined as being in an unmeasurable state.…”

Section: Comparison Of Vttq With Characteristics Of Idcmentioning

confidence: 99%

A Non-invasive Modality: The US Virtual Touch Tissue Quantification (VTTQ) for Evaluation of Breast Cancer

Tamaki¹,

Tamaki²,

Kamada³

et al. 2013

Japanese Journal of Clinical Oncology

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Objective: We evaluated the biologic features of breast tissues using a newly developed noninvasive diagnostic system, named virtual touch tissue quantification. Methods: A total of 180 patients including 115 invasive ductal carcinoma, 30 ductal carcinoma in situ, 4 mucinous carcinoma, 7 invasive lobular carcinoma, 8 fibroadenoma, 12 fibrocystic change and 4 intraductal papilloma were studied at Nahanishi Clinic, Okinawa. We first compared the results of virtual touch tissue quantification according to each histologic subtype and determined the optimal cutoff values for virtual touch tissue quantification to distinguish benign from malignant tissues, using the receiver operating characteristic method. In addition, we also examined the correlation between virtual touch tissue quantification velocities and Ki-67, estrogen receptor, progesterone receptor or human epidermal growth factor receptor 2 in cases of invasive ductal carcinoma using linear regression analyses and Student's t-test. Results: Virtual touch tissue quantification velocities were statistically higher in malignant cases than in benign cases (P , 0.05, respectively) and the best cutoff value for the virtual touch tissue quantification velocity which could differentiate benign from malignant cases was 2.89 m/s. There were statistically significant correlations between the virtual touch tissue quantification velocity and the Ki-67 labeling index (r ¼ 0.338, r 2 ¼ 0.114 and P , 0.001) and significant inverse correlations between virtual touch tissue quantification and the estrogen receptor (r ¼ 20.311, r 2 ¼ 0.097 and P , 0.001) or progesterone receptor (r ¼ 20.361, r 2 ¼ 0.131 and P , 0.001) status of invasive ductal carcinoma. There were also significant differences of the average velocities between human epidermal growth factor receptor 2-positive (6.39 + 1.44 m/s) and -negative (4.43 + 1.41 m/s) cases (P , 0.001). Conclusion: Virtual touch tissue quantification could be a valuable clinical tool for estimating breast cancer pathology in a non-invasive fashion.

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Preliminary Results of Acoustic Radiation Force Impulse (ARFI) Ultrasound Imaging of Breast Lesions

Cited by 130 publications

References 18 publications

Stiffness of salivary gland and tumor measured by new ultrasonic techniques: Virtual touch quantification and IQ

Stiffness of salivary gland and tumor measured by new ultrasonic techniques: Virtual touch quantification and IQ

Comparison of Virtual Touch Tissue Quantification with Strain Ratio in Differentiating Malignant from Benign Cervical Lymph Nodes

A Non-invasive Modality: The US Virtual Touch Tissue Quantification (VTTQ) for Evaluation of Breast Cancer

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