Contrast Enhanced Ultrasound Medical Imaging for Identifying Breast Masses
Characterizing Breast Masses Using an Integrative Framework of Machine Learning and Radiomics
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
PRIMARY OBJECTIVES:
I. To examine and compare the distribution of CEUS parameters in breast masses that were evaluated as Breast Imaging Reporting and Data System (BI-RADS) 4a, 4b, 4c or 5 by conventional ultrasound (US) and were recommended for ultrasound guided biopsy, and to evaluate whether these parameters can be used to classify suspicious cystic-appearing breast masses as benign or malignant.
Ia. To develop a CEUS-based radiomics workflow to extract radiomic metrics (> 1600 features) in classifying breast mass malignancy (Radiomics).
Ib. To develop a systematic and rigorous machine learning (ML)-based framework comprised of classification, cross-validation and statistical analyses to identify the best performing classifier for breast malignancy stratification based on CEUS-derived radiomic metrics (time-intensity curve [TIC] analysis and Radiomics).
Ic. To assess the independent contribution of radiomics classifier and time-intensity curve classifier to the model accuracy in discriminating benign from malignant cases (TIC analysis versus [vs.] Radiomics).
Id. To assess the potential benefit of machine learning classifier in preventing unnecessary biopsy (TIC analysis and Radiomics).
OUTLINE:
Patients receive a contrast agent (Lumason or DEFINITY) intravenously (IV) and then undergo CEUS scan over 60-90 minutes.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Phase 1
Contacts and Locations
Study Contact
Study Contact
- Name: Janet Jaime
- Phone Number: 323-865-3205
- Email: Janet.Jaime@med.usc.edu
Study Locations
-
-
California
-
Los Angeles, California, United States, 90033
- Recruiting
- USC / Norris Comprehensive Cancer Center
-
Contact:
- Janet Jaime
- Phone Number: 323-865-3205
- Email: Janet.Jaime@med.usc.edu
-
Principal Investigator:
- Bino A. Varghese, PhD
-
Los Angeles, California, United States, 90033
- Recruiting
- Los Angeles County-USC Medical Center
-
Contact:
- Janet Jaime
- Phone Number: 323-865-3205
- Email: Janet.Jaime@med.usc.edu
-
Principal Investigator:
- Bino A. Varghese, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Diagnostic (contrast agent, CEUS)
Patients receive a contrast tracer (Lumason or DEFINITY) IV and then undergo CEUS scan over 60-90 minutes.
|
Undergo CEUS
Other Names:
Given IV
Other Names:
Given IV
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Radiomics-based ML-classifier framework
Time Frame: Up to 12 months
|
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
Time Frame: Up to 12 months
|
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
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Bino A Varghese, PhD, University of Southern California
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 1B-19-5 (Other Identifier: USC / Norris Comprehensive Cancer Center)
- P30CA014089 (U.S. NIH Grant/Contract)
- NCI-2022-03665 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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