Acoustics Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology Technology
Parametric maps showing perfusion of contrast media can be useful tools for characterizing lesions in breast tissue. In this study we show the feasibility of parametric subharmonic imaging (SHI), which allows imaging of a vascular marker (the ultrasound contrast agent) while providing near complete tissue suppression. Digital SHI clips of 16 breast lesions from 14 women were acquired. Patients were scanned using a modified LOGIQ 9 scanner (GE Healthcare, Waukesha, WI) transmitting/receiving at 4.4/2.2 MHz. Using motion-compensated cumulative maximum intensity (CMI) sequences, parametric maps were generated for each lesion showing the time to peak (TTP), estimated perfusion (EP), and area under the time-intensity curve (AUC). Findings were grouped and compared according to biopsy results as benign lesions (n = 12, including 5 fibroadenomas and 3 cysts) and carcinomas (n = 4). For each lesion CMI, TTP, EP, and AUC parametric images were generated. No significant variations were detected with CMI (P=.80), TTP (P=.35), or AUC (P=.65). A statistically significant variation was detected for the average pixel EP (P=.002). Especially, differences were seen between carcinoma and benign lesions (mean +/- SD, 0.10 +/- 0.03 versus 0.05 +/- 0.02 intensity units [IU]/s; P=.0014) and between carcinoma and fibroadenoma (0.10 +/- 0.03 versus 0.04 +/- 0.01 IU/s; P=.0044), whereas differences between carcinomas and cysts were found to be nonsignificant. In conclusion, a parametric imaging method for characterization of breast lesions using the high contrast to tissue signal provided by SHI has been developed. While the preliminary sample size was limited, results show potential for breast lesion characterization based on perfusion flow parameters.
Parametric Imaging Using Subharmonic Signals From Ultrasound Contrast Agents in Patients With Breast Lesions
Creators
John R. Eisenbrey - Thomas Jefferson University
Jaydev K. Dave - Thomas Jefferson University
Daniel A. Merton - Thomas Jefferson University
Juan P. Palazzo - Thomas Jefferson University
Anne L. Hall - GE Healthcare (Netherlands)
Flemming Forsberg - Thomas Jefferson University
Publication Details
Journal of ultrasound in medicine, v 30(1), pp 85-92
Publisher
Wiley
Number of pages
8
Grant note
DAMD-17-00-1-0464 / US Army Medical Research Material Command; U.S. Army Medical Research & Materiel Command (USAMRMC)
CA140338 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R01CA140338 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
GE Healthcare; General Electric
Resource Type
Journal article
Language
English
Academic Unit
School of Biomedical Engineering, Science, and Health Systems
Web of Science ID
WOS:000287009000011
Scopus ID
2-s2.0-78650882289
Other Identifier
991019350669804721
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