Lung ultrasound (LUS) is currently limited by subjective interpretations, making it hard to accurately differentiate lung conditions like pulmonary fibrosis (PF), pneumonia, and cardiogenic pulmonary edema (CPE).
A study analyzed a large dataset of radio frequency (RF) data from 114 patients using multifrequency LUS techniques, which helped parameterize imaging artifacts with measurable qualities.
The results indicated that using data from a linear probe improved diagnostic accuracy to 85.43%, highlighting the potential for more accurate and specific assessments of lung conditions through quantitative approaches.