Health services recommend mammograms for older women and often use ultrasound to study breast masses. Ultrasound images can be unclear in dense breast tissue because sound scattering creates "acoustic clutter." This clutter can make a fluid-filled cyst appear gray instead of black and mimic a solid mass.
Researchers describe a coherence-based signal-processing method that measures how similar each signal is to its neighbors. Unlike conventional ultrasound, which uses signal amplitude to form images, this approach produces cleaner images and reduces misleading appearances. The method also assigns a numeric score to each mass and marks only those above a set threshold as worrisome.
In a study of 132 patients, doctors using the new method identified masses correctly 96% of the time, versus 67% with conventional tools. The work, led by Johns Hopkins researchers, could reduce false positives, follow-up exams, and biopsies.
Difficult words
- mammogram — an X-ray test to check breast healthmammograms
- ultrasound — a test that uses sound waves for images
- clutter — unwanted echoes that make images unclear
- cyst — a small fluid-filled sac in body tissue
- coherence-based — using similarity between signals to improve images
- threshold — a set value that separates normal and worrisome
- false positives — cases where a test wrongly shows a problem
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- How would fewer false positives and fewer follow-up exams affect a patient personally?
- Would you prefer an imaging method that gives a numeric score for masses? Why or why not?
- What concerns might doctors have when they start using a new signal-processing method in clinical practice?
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