Shear Wave Elastography and Cervical Lymph Nodes: Predicting Malignancy
نویسندگان
چکیده
منابع مشابه
Virtual Touch Tissue Imaging Quantification Shear Wave Elastography: Prospective Assessment of Cervical Lymph Nodes.
The goal of this study was to prospectively evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ) shear wave elastography in the discrimination of benign and malignant cervical lymph nodes in routine clinical practice. Shear wave velocity was analyzed using VTIQ in 100 patients with 100 histologically proven cervical lymph nodes. Diagnostic performance was ev...
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OBJECTIVES Axillary lymph node status is one of the important prognostic factors in early-stage breast cancer. Despite the combined use of sonography, fine-needle aspiration, and sentinel lymph node (SLN) dissection, there is a gap between the potential effectiveness of those techniques and current success to determine the axillary lymph node status. The main aim of this study was to evaluate t...
متن کاملUltrasound elastography for evaluation of cervical lymph nodes
Ultrasound (US) elastography has been introduced as a noninvasive imaging technique for evaluating cervical lymph nodes. US elastography techniques include strain elastography and shear wave-based elastography. The application of this technique is based on the fact that stiff tissues tend to deform less and show less strain than compliant tissues when the same force is applied. In general, meta...
متن کاملQuantitative Analysis of Enlarged Cervical Lymph Nodes with Ultrasound Elastography.
UNLABELLED PURPSOE: To investigate the diagnostic value of quantitative analysis of a tissue diffusion and virtual touch tissue imaging quantification (VTIQ) technique with acoustic radiation force impulse (ARFI) elastography for assessing enlarged cervical lymph nodes. MATERIALS AND METHODS Fifty-six enlarged cervical lymph nodes confirmed by pathologic diagnoses were covered in the study. A...
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ژورنال
عنوان ژورنال: Ultrasound in Medicine & Biology
سال: 2016
ISSN: 0301-5629
DOI: 10.1016/j.ultrasmedbio.2016.01.012