Journal article
Characterizing Breast Lesions Using Quantitative Parametric 3D Subharmonic Imaging: A Multicenter Study
Academic radiology, v 27(8), pp 1065-1074
01 Aug 2020
PMID: 31859210
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Rationale and Objectives: Breast cancer is the leading type of cancer among women. Visualization and characterization of breast lesions based on vascularity kinetics was evaluated using three-dimensional (3D) contrast-enhanced ultrasound imaging in a clinical study.
Materials and Methods: Breast lesions (n = 219) were imaged using power Doppler imaging (PDI), 3D contrast-enhanced harmonic imaging (HI), and 3D contrast-enhanced subharmonic imaging (SHI) with a modified Logiq 9 ultrasound scanner using a 4D10L transducer. Quantitative metrics of vascularity derived from 3D parametric volumes (based on contrast perfusion; PER and area under the curve; AUC) were generated by off-line processing of contrast wash-in and wash-out. Diagnostic accuracy of these quantitative vascular parameters was assessed with biopsy results as the reference standard.
Results: Vascularity was observed with PDI in 93 lesions (69 benign and 24 malignant), 3D HI in 8 lesions (5 benign and 3 malignant), and 3D SHI in 83 lesions (58 benign and 25 malignant). Diagnostic accuracy for vascular heterogeneity, PER, and AUC ranged from 0.52 to 0.75, while the best logistical regression model (vascular heterogeneity ratio, central PER, and central AUC) reached 0.90.
Conclusion: 3D SHI successfully detects contrast agent flow in breast lesions and characterization of these lesions based on quantitative measures of vascular heterogeneity and 3D parametric volumes is promising.
Metrics
Details
- Title
- Characterizing Breast Lesions Using Quantitative Parametric 3D Subharmonic Imaging: A Multicenter Study
- Creators
- Anush Sridharan - Drexel UniversityJohn R. Eisenbrey - Thomas Jefferson UniversityMaria Stanczak - Thomas Jefferson UniversityPriscilla Machado - Thomas Jefferson UniversityDaniel A. Merton - Thomas Jefferson UniversityAnnina Wilkes - Thomas Jefferson Univ, Dept Radiol, 763H Main Bldg,132 South 10th St, Philadelphia, PA 19107 USAAlexander Sevrukov - Thomas Jefferson Univ, Dept Radiol, 763H Main Bldg,132 South 10th St, Philadelphia, PA 19107 USAHaydee Ojeda-Fournier - Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USARobert F. Mattrey - Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USAKirk Wallace - GE Global Research (United States)Flemming Forsberg - Thomas Jefferson University
- Publication Details
- Academic radiology, v 27(8), pp 1065-1074
- Publisher
- Elsevier
- Number of pages
- 10
- Grant note
- R01 CA140338 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA W81XWH11-1-0630 / U.S. Army Medical Research Material Command; United States Department of Defense; United States Army; U.S. Army Medical Research & Materiel Command (USAMRMC) Lantheus Medical Imaging
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000550216100009
- Scopus ID
- 2-s2.0-85076571795
- Other Identifier
- 991021860773704721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Radiology, Nuclear Medicine & Medical Imaging