1. 3D Harmonic and Subharmonic Imaging for Characterizing Breast Lesions: A Multi-Center Clinical Trial.
- Author
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Forsberg, Flemming, Piccoli, Catherine, Sridharan, Anush, Wilkes, Annina, Sevrukov, Alexander, Mattrey, Robert, Machado, Priscilla, Stanczak, Maria, Merton, Daniel, Wallace, Kirk, Eisenbrey, John, and Ojeda-Fournier, Haydee
- Subjects
3D ultrasound imaging ,breast cancer ,contrast-enhanced ultrasound ,harmonic imaging ,subharmonic imaging ,Breast ,Breast Neoplasms ,Contrast Media ,Female ,Humans ,Imaging ,Three-Dimensional ,Prospective Studies ,Ultrasonography ,Ultrasonography ,Doppler - Abstract
OBJECTIVE: Breast cancer is the most frequent type of cancer among women. This multi-center study assessed the ability of 3D contrast-enhanced ultrasound to characterize suspicious breast lesions using clinical assessments and quantitative parameters. METHODS: Women with suspicious breast lesions scheduled for biopsy were enrolled in this prospective, study. Following 2D grayscale ultrasound and power Doppler imaging (PDI), a contrast agent (Definity; Lantheus) was administrated. Contrast-enhanced 3D harmonic imaging (HI; transmitting/receiving at 5.0/10.0 MHz), as well as 3D subharmonic imaging (SHI; transmitting/receiving at 5.8/2.9 MHz), were performed using a modified Logiq 9 scanner (GE Healthcare). Five radiologists independently scored the imaging modes (including standard-of-care imaging) using a 7-point BIRADS scale as well as lesion vascularity and diagnostic confidence. Parametric volumes were constructed from time-intensity curves for vascular heterogeneity, perfusion, and area under the curve. Diagnostic accuracy was determined relative to pathology using receiver operating characteristic (ROC) and reverse, step-wise logistical regression analyses. The κ-statistic was calculated for inter-reader agreement. RESULTS: Data were successfully acquired in 219 cases and biopsies indicated 164 (75%) benign and 55 (25%) malignant lesions. SHI depicted more anastomoses and vascularity than HI (P .27). Ultrasound achieved accuracies of 82 to 85%, which was significantly better than standard-of-care imaging (72%; P
- Published
- 2022