Contrast-Enhanced Ultrasound
ProcedureUndergo CEUS
Other names: CEUS
NCT Number: NCT06171607
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.
Interested in participating?
Request Info18 year and older
Female
Interventional
Phase 1
Los Angeles County-USC Medical Center, Los Angeles, California, United States
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Undergo CEUS
Other names: CEUS
Given IV
Other names: Definity
Given IV
Other names: Lumason, SF6 Lipid Microspheres, Sulfur Hexafluoride Lipid-type A Microspheres
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.
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.
Contact information is provided by the study sponsor or research team.
University of Southern California
Other
Characterizing Breast Masses Using an Integrative Framework of Machine Learning and Radiomics
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07285044
Adenocarcinoma, Adnexal Diseases
Jacksonville, Florida, United States
View Trial DetailsNCT06184750
Adenocarcinoma, Breast Atypical Ductal Hyperplasia
Tucson, Arizona, United States
View Trial DetailsNCT06130826
Breast Carcinoma, Breast Diseases
Duarte, California, United States
View Trial DetailsNCT06995898
Adenocarcinoma, Adnexal Diseases
Pleasanton, California, United States
View Trial Details