The Best of Quantitative Ultrasound

Abstract

The objective of these studies was to demonstrate that quantitative ultrasound (QUS) techniques could be used to improve diagnostic ultrasound imaging. Specifically, QUS techniques were applied to improving detection of breast and thyroid cancer, early detection of preterm birth, quantification of fatty liver and thermometry. QUS techniques were employed that utilized parameterization of the frequency-dependent backscatter coefficient, the attenuation coefficient and/or envelope statistics. The backscatter coefficient was parameterized through the effective scatterer diameter (ESD) and the effective acoustic concentration (EAC). Backscattered ultrasound data were acquired from tissue samples using clinical ultrasound scanners providing the RF signal and from laboratory systems utilizing single-element focused transducers. The data spanned frequency ranges from 2 to 50 MHz. Combinations of the ESD, EAC and envelope statistics were successful in differentiating malignant from benign tumors in rodent models of breast cancer. Similarly, the ESD combined with envelope statistics provided differentiation of malignant from benign nodules in mouse models of thyroid cancer. Cervical attenuation was an early predictor of preterm birth in rat models and in humans. Attenuation and the slope and magnitude of the backscatter coefficient were observed to predict the degree of fatty liver in mouse models and in humans. The EAC was observed to track temperature when using thermal therapies in different tissues. QUS techniques have continued to mature and have demonstrated new sources of contrast leading to improved diagnostic capabilities and the ability to monitor and assess therapy.