Could AI and ultrasound replace unnecessary breast biopsies?

NCT ID NCT06171607

Recruiting now Diagnosis Sponsor: University of Southern California Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This trial tests whether contrast-enhanced ultrasound (CEUS) combined with machine learning can more accurately tell if a breast mass is benign or malignant. 100 women with suspicious breast masses will receive CEUS with a contrast agent. The goal is to see if this approach can reduce the need for invasive biopsies by correctly identifying benign masses.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Contrast-enhanced ultrasound with perflutren lipid microspheres or sulfur hexafluoride lipid microspheres
What this could lead to: If successful, this could provide a more accurate, non-invasive way to diagnose breast masses, potentially sparing many women from unnecessary biopsies.
What could go wrong: This is an early Phase 1 study with only 100 participants, so results may not apply to all patients. The machine learning model may not perform as well in real-world settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

breast carcinoma breast neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BREAST CARCINOMA

Contacts and locations

Locations

Los Angeles County-USC Medical Center
RECRUITING

Los Angeles, California, 90033, United States
USC / Norris Comprehensive Cancer Center
RECRUITING

Los Angeles, California, 90033, United States

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