Quantitative Microvasculature Imaging for Breast Cancer Detection and Monitoring
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
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.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Locations
-
-
Minnesota
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Rochester, Minnesota, United States, 55905
- Recruiting
- Mayo Clinic in Rochester
-
Contact:
- Clinical Trials Referral Office
- Phone Number: 855-776-0015
- Email: mayocliniccancerstudies@mayo.edu
-
Principal Investigator:
- Azra Alizad, M.D.
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- AIM 1: Patient volunteers, ages >= 18 with suspicious breast masses scheduled for breast biopsy, or at least two weeks or more after breast biopsy
- AIM 2: Patient volunteers, ages >= 18 who have biopsy proven breast cancer and are going under neoadjuvant chemotherapy and/or endocrine therapy had their baseline MRI and/or ultrasound
Exclusion Criteria:
- Patients with breast implants or any condition that does not allow proper use of ultrasound (US)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
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. |
Undergo breast ultrasound
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Specificity of ultrasound in detection of breast cancer
Time Frame: Up to study completion, an average of 1 year
|
Will be reported including 95% confidence intervals derived from the cross-validation procedure.
|
Up to study completion, an average of 1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy in prediction of treatment response
Time Frame: Up to study completion, an average of 1 year
|
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.
|
Up to study completion, an average of 1 year
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Specificity of ultrasound in prediction of NUMMA parameters - tortuosity
Time Frame: Up to study completion, an average of 1 year
|
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.
|
Up to study completion, an average of 1 year
|
|
Specificity of ultrasound in prediction of NUMMA parameters - vessel diameter
Time Frame: Up to study completion, an average of 1 year
|
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
Time Frame: Up to study completion, an average of 1 year
|
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
Time Frame: Up to study completion, an average of 1 year
|
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
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Azra Alizad, M.D., Mayo Clinic in Rochester
Publications and helpful links
Helpful Links
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
- 19-003028 (Other Identifier: Mayo Clinic Institutional Review Board)
- NCI-2021-01733 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
- R01CA239548 (U.S. NIH Grant/Contract)
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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