Shear wave velocity measurements for differential diagnosis of solid breast masses: a comparison between virtual touch quantification and virtual touch IQ
| Autor: | Mitsuhiro Tozaki, Sachiko Isobe, John Benson, Masahiro Saito, Liexiang Fan |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Adult
medicine.medical_specialty Acoustics and Ultrasonics Biophysics Breast Neoplasms Shear wave imaging Sensitivity and Specificity Diagnosis Differential User-Computer Interface Elastic Modulus Physical Stimulation medicine Humans Radiology Nuclear Medicine and imaging Physics Palpation Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Ultrasound Wave velocity Reproducibility of Results Wave speed Middle Aged Shear (sheet metal) Touch Elasticity Imaging Techniques Female Radiology Elastography Ultrasonography Mammary Differential diagnosis business Shear Strength Sensitivity (electronics) Biomedical engineering |
| Zdroj: | Ultrasound in medicinebiology. 39(12) |
| ISSN: | 1879-291X |
| Popis: | This study compared the diagnostic performance of two shear wave speed measurement techniques in 81 patients with 83 solid breast lesions. Virtual Touch Quantification, which provides single-point shear wave speed measurement capability (SP-SWS), was compared with Virtual Touch IQ, a new 2-D shear wave imaging technique with multi-point shear wave speed measurement capability (2D-SWS). With SP-SWS, shear wave velocity was measured within the lesion ("internal" value) and the marginal areas ("marginal" value). With 2D-SWS, the highest velocity was measured. The marginal values obtained with the SP-SWS and 2D-SWS methods were significantly higher for malignant lesions and benign lesions, respectively (p < 0.0001). Sensitivity, specificity and accuracy were 86% (36/42), 90% (37/41) and 88% (73/83), respectively, for SP-SWS, and 88% (37/42), 93% (38/41) and 90% (75/83), respectively, for 2D-SWS. It is concluded that 2D-SWS is a useful diagnostic tool for differentiating malignant from benign solid breast masses. |
| Databáze: | OpenAIRE |
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