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| ID | Type | Description | Link |
|---|---|---|---|
| NCI-2021-01733 | Registry Identifier | CTRP (Clinical Trial Reporting Program) | |
| 19-003028 | Other Identifier | Mayo Clinic Institutional Review Board | |
| R01CA239548 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
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This study evaluates the effectiveness of a breast ultrasound method for the diagnosis of breast cancer. Diagnostic procedures, such as breast ultrasound, may help find and diagnose breast cancer, and may help measure a patient's response to earlier treatment. The purpose of this research is to test the effectiveness of a new investigational breast ultrasound method to detect an abnormality in the breast, and assess response to breast cancer treatment.
PRIMARY OBJECTIVES:
I. Determine the diagnostic performance of the proposed method in a population of pre-biopsy patients with suspicious breast masses and correlate the proposed method results with pathology as the gold standard.
II. Assess and predict the response to preoperative chemotherapy and/or endocrine therapy in breast cancer patients using the proposed method and compare the results to magnetic resonance imaging (MRI) as control and surgical pathology for pathological complete response (PcR).
III. Determine the diagnostic performance of the proposed method in identifying metastatic axillary lymph node in patients with suspected or known breast cancer lesions; correlate the results with pathology as the gold standard.
OUTLINE:
AIM 1: Participants undergo a breast ultrasound over 15 minutes.
AIM 2: Participants undergo breast ultrasounds over 15 minutes before starting the chemotherapy and/or endocrine therapy, 2 months after start of chemotherapy and/or endocrine therapy, and after the completion of chemotherapy and/or endocrine therapy before surgery. Participants may also undergo breast ultrasounds at 2 weeks after start of chemotherapy and/or endocrine therapy and 1 month after start of chemotherapy and/or endocrine therapy .
AIM 3: Patients with suspicious breast masses or known breast cancer who are scheduled for axillary lymph node biopsy undergo ultrasound over 15 minutes at the same visit of the breast mass study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Observational (ultrasound) | AIM 1: Participants undergo a breast ultrasound over 15 minutes. AIM 2: Participants undergo breast ultrasounds over 15 minutes before starting the chemotherapy and/or endocrine therapy, 2 months after start of chemotherapy and/or endocrine therapy, and after the completion of chemotherapy and/or endocrine therapy before surgery. Participants may also undergo breast ultrasounds at 2 weeks after start of chemotherapy and/or endocrine therapy and 1 month after start of chemotherapy and/or endocrine therapy. AIM 3: Patients with suspicious breast masses or known breast cancer who are scheduled for axillary lymph node biopsy undergo ultrasound over 15 minutes at the same visit of the breast mass study. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ultrasound | Procedure | Undergo breast ultrasound |
|
| Measure | Description | Time Frame |
|---|---|---|
| Specificity of ultrasound in detection of breast cancer | Will be reported including 95% confidence intervals derived from the cross-validation procedure. | Up to study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy in prediction of treatment response | Morphological parameters of the lesion's microvasculature will be assessed at each visit. Correlation between changes in the morphological parameters and the clinical measure of lesion size will be assessed. Analyses will be done by time periods separately, change from pre-chemotherapy to halfway through chemotherapy and again from pre to post-chemotherapy. The diagnostic accuracy estimates will be reported along with 95% confidence interval. Univariate associations between changes in microvasculature parameters assessments during a time period with the magnetic resonance imaging (MRI) assessment for change in the same time period will be assessed using logistic regression, reporting the odds ratio and 95% confidence interval. Multi-variable logistic regression will be used to assess independent associations of change in assessments with MRI assessment for change. T-tests will be used to compare microvasculature information between chemotherapy responders and non-responders. |
| Measure | Description | Time Frame |
|---|---|---|
| Specificity of ultrasound in prediction of NUMMA parameters - tortuosity | The diagnostic accuracy of the NUMMA parameters, such as tortuosity will be assessed using an automated quantification tool. Logistic regression models will examine these collective parameters as predictors of metastatic axillary lymph node in breast cancer patients. Area under the receiver operating characteristic curve (area under the curve) will be examined for univariate and multivariable models. Statistical evaluation of the performance of 2 dimensional (D) and 3D images will be performed with the McNemar's test separately for metastatic and reactive lymph nodes. |
Inclusion Criteria:
Exclusion Criteria:
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Volunteers for Aim 1 are without a history of mastectomy or implants, and at least a single suspicious breast mass that is scheduled for biopsy. Volunteers for Aim 2 have biopsy proven breast cancer and are scheduled for chemotherapy and/or endocrine therapy.
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| Name | Affiliation | Role |
|---|---|---|
| Azra Alizad, M.D. | Mayo Clinic in Rochester | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic in Rochester | Recruiting | Rochester | Minnesota | 55905 | United States |
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| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D019220 | High-Energy Shock Waves |
| ID | Term |
|---|---|
| D000069453 | Ultrasonic Waves |
| D013016 | Sound |
| D011840 | Radiation, Nonionizing |
| D011827 | Radiation |
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| Up to study completion, an average of 1 year |
| Up to study completion, an average of 1 year |
| Specificity of ultrasound in prediction of NUMMA parameters - vessel diameter | The diagnostic accuracy of the NUMMA parameters, such as vessel diameter will be assessed using an automated quantification tool. Logistic regression models will examine these collective parameters as predictors of metastatic axillary lymph node in breast cancer patients. Area under the receiver operating characteristic curve (area under the curve) will be examined for univariate and multivariable models. Statistical evaluation of the performance of 2 dimensional (D) and 3D images will be performed with the McNemar's test separately for metastatic and reactive lymph nodes. | Up to study completion, an average of 1 year |
| Specificity of ultrasound in prediction of NUMMA parameters - numbers of vessel segments | The diagnostic accuracy of the NUMMA parameters, such as numbers of vessel segments will be assessed using an automated quantification tool. Logistic regression models will examine these collective parameters as predictors of metastatic axillary lymph node in breast cancer patients. Area under the receiver operating characteristic curve (area under the curve) will be examined for univariate and multivariable models. Statistical evaluation of the performance of 2 dimensional (D) and 3D images will be performed with the McNemar's test separately for metastatic and reactive lymph nodes. | Up to study completion, an average of 1 year |
| Specificity of ultrasound in prediction of NUMMA parameters - vessel density | The diagnostic accuracy of the NUMMA parameters, such as vessel density will be assessed using an automated quantification tool. Logistic regression models will examine these collective parameters as predictors of metastatic axillary lymph node in breast cancer patients. Area under the receiver operating characteristic curve (area under the curve) will be examined for univariate and multivariable models. Statistical evaluation of the performance of 2 dimensional (D) and 3D images will be performed with the McNemar's test separately for metastatic and reactive lymph nodes. | Up to study completion, an average of 1 year |
| D017437 |
| Skin and Connective Tissue Diseases |
| D055585 |
| Physical Phenomena |