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Can I read Sentinel Node Identification Method Using Contrast-Enhanced Ultrasonography with Sonazoid Injected Subareolarly in Breast Cancer: A Multicenter Study on EtoBox?
Sentinel Node Identification Method Using Contrast-Enhanced Ultrasonography with Sonazoid Injected Subareolarly in Breast Cancer: A Multicenter Study by K. Omoto; K. Futsuhara; O. Sekine; M. Sakuragi; F. Konishi; H. Matsunaga; N. Taniguchi; M. Kawano; Y. Hozumi; H. Oosawa; T. Ito; T. Okuno is a Medicine article available to read on EtoBox.
What is Sentinel Node Identification Method Using Contrast-Enhanced Ultrasonography with Sonazoid Injected Subareolarly in Breast Cancer: A Multicenter Study about?
3D volume scans performance. To evaluate the breast lesion shape in longitudinal, sagittal, and coronal, the largest lengths of A-, B-, Cviews were analyzed using render program and the ratios of axis to axis in A-, B-, C-views were calculated. A receiver-operating characteristics curve (ROC) analysis was performed to determine the diagnostic performance. Results: In this preliminary study, the characteristics determined on the longitudinal, sagittal, and coronal were showed by largest lengths of A-, B-, C-views. The diagnostic accuracy of these views in the ROC analyses were 0.698, 0.741, and 0.888, respectively; the ratios of largest lengths of C-to A-view and B-to A-view showed area under the curve 0.918 and 0.729, respectively. ## Conclusion: The diagnostic accuracy of the ratio of largest lengths of Cto A-view in the ROC analyses showed 0.918. However, larger trials are needed to determine its clinical value.
Who reads Sentinel Node Identification Method Using Contrast-Enhanced Ultrasonography with Sonazoid Injected Subareolarly in Breast Cancer: A Multicenter Study?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- K. Omoto; K. Futsuhara; O. Sekine; M. Sakuragi; F. Konishi; H. Matsunaga; N. Taniguchi; M. Kawano; Y. Hozumi; H. Oosawa; T. Ito; T. Okuno
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0301-5629)
- Published
- 2011
- Language
- EN
- Field
- Medicine (Health Sciences)