Contrast Enhanced Ultrasound Medical Imaging for Identifying Breast Masses
Characterizing Breast Masses Using an Integrative Framework of Machine Learning and Radiomics
3 other identifiers
interventional
100
1 country
2
Brief Summary
This clinical trial investigates the role of contrast enhanced ultrasound (CEUS) in identifying cystic breast masses as benign or malignant. Ultrasound is a diagnostic imaging test that uses sound waves to make pictures of the body without using radiation (x-rays). Ultrasounds are widely used to diagnose many diseases in the body. This trial may help researchers learn if using CEUS will help in determining whether or not an ultrasound guided biopsy is necessary.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for phase_1
Started Nov 2020
Longer than P75 for phase_1
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 5, 2020
CompletedFirst Submitted
Initial submission to the registry
July 14, 2022
CompletedFirst Posted
Study publicly available on registry
December 14, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 5, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
November 5, 2027
February 2, 2026
January 1, 2026
6 years
July 14, 2022
January 29, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Radiomics-based ML-classifier framework
The performance of radiomics-based ML classifier framework will be compared to the performance of the TIC metrics. The joint performance of radiomics and TIC analysis will be compared to their individual performances. The classifier performance will be assessed using the area under curve (AUC). The Z-test will be used to compare the difference between the area under the curves 1) AUCboth versus (vs.) AUCradiomic 2) AUCboth vs. AUCTIC 3) AUCTIC vs. AUCradiomic.
Up to 12 months
Performance of radiomics-based ML approach to prevent unnecessary biopsies
Will assess the percentage of benign cases that can be classified as benign by ML (Specificity) thus been prevented from biopsy. Will select the diagnostic cut-off point based on the ROC curve constructed from the predicted probability. Such a cut-off point will result in a maximal sensitivity (100%). Specificity with 95% Clopper Pearson confidence interval will be obtained.
Up to 12 months
Study Arms (1)
Diagnostic (contrast agent, CEUS)
EXPERIMENTALPatients receive a contrast tracer (Lumason or DEFINITY) IV and then undergo CEUS scan over 60-90 minutes.
Interventions
Given IV
Undergo CEUS
Eligibility Criteria
You may qualify if:
- Newly diagnosed breast masses assigned as BIRADS 4a, 4b, 4c or 5 by conventional US and recommended for ultrasound guided biopsy
- Age \>= 18 years
- Female
You may not qualify if:
- Contraindications to microbubble contrast: Patients who have a known pulmonary hypertension and any known hypersensitivity to US contrast agent
- Women with renal failure or insufficiency (only if patient is receiving CESM scan)
- Women with Iodine contrast allergy (only if patient is receiving CESM scan)
- Women with the largest side of the mass measuring ≤ 1 cm (only if patient is receiving CEUS scan)
- Women who are pregnant, possibly pregnant, or lactating
- Women currently undergoing neoadjuvant chemotherapy
- Women \< 18 years of age
- Patient ≤ 30 years (only if patient is receiving CESM scan)
- Masses in the same breast that had prior lumpectomy for cancer
- Women with cancer in the same breast will be excluded however, women with cancer in the contralateral breast will be eligible to participate in the study
- Women with an allergy to perflutren (only if patient is receiving CEUS scan)
- Prior history of biopsy for that specific lesion
- Women with breast implants
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Cancer Institute (NCI)collaborator
- University of Southern Californialead
Study Sites (2)
Los Angeles County-USC Medical Center
Los Angeles, California, 90033, United States
USC / Norris Comprehensive Cancer Center
Los Angeles, California, 90033, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Bino A Varghese, PhD
University of Southern California
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- phase 1
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 14, 2022
First Posted
December 14, 2023
Study Start
November 5, 2020
Primary Completion (Estimated)
November 5, 2026
Study Completion (Estimated)
November 5, 2027
Last Updated
February 2, 2026
Record last verified: 2026-01