Using Ultrasound Color Doppler Twinkling to Identify Biopsy Markers in the Breast and Axilla
| Autor: | Susheil Uthamaraj, James F. Greenleaf, Matthew W. Urban, Gina K. Hesley, Christine U. Lee, Nicholas B. Larson |
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| Rok vydání: | 2021 |
| Předmět: |
Acoustics and Ultrasonics
Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Breast imaging Biopsy Ultrasound Biophysics Color doppler Axilla medicine.anatomical_structure Optical imaging medicine Humans Radiology Nuclear Medicine and imaging Ultrasonography Doppler Color Artifacts business Nuclear medicine Breast ultrasound Twinkling Ultrasonography |
| Zdroj: | Ultrasound in Medicine & Biology. 47:3122-3134 |
| ISSN: | 0301-5629 |
| Popis: | In breast radiology, ultrasound detection of biopsy markers or clips for localization purposes is often challenging, especially in the axilla. The purpose of this research was to test the hypothesis that the surface roughness of biopsy clips would elicit a twinkling signature on color Doppler, making them more readily identifiable by ultrasound. Ultrasound color Doppler imaging of 12 biopsy markers was performed and consensus scoring of the degree of twinkling (0 [no twinkling] to 4 [exuberant twinkling]) was obtained for each of the markers. The surface roughness characteristics of the markers were measured using 3-D coherence scanning interferometry. The 3 markers scoring at least 3 for twinkling in vitro were cork, Q and Vision. Of these 3 markers, only the cork marker scored a 4 ex vivo and in cadaveric tissue. Surface roughness metrics demonstrated a positive estimated correlation with the twinkling scores (rho = 0.33, 95% CI = [–0.48 to 0.84]). Of the 12 markers tested, the markers that twinkled corresponded to surface roughness measured with non-contact 3-D optical imaging. Qualitatively, lower color scales and color frequencies optimized twinkling, but the most specific qualitative predictor of confidence in twinkling was insensitivity to changes in color scale and color frequency values. |
| Databáze: | OpenAIRE |
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