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Quantitative Microvasculature Imaging for Breast Cancer Detection and Monitoring

Quantitative Microvasculature Imaging for Breast Cancer Detection and Monitoring

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04799535
Enrollment
550
Registered
2021-03-16
Start date
2019-09-01
Completion date
2027-11-29
Last updated
2026-02-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Carcinoma, Breast Neoplasm

Brief summary

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.

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.

Interventions

PROCEDUREUltrasound

Undergo breast ultrasound

Sponsors

Mayo Clinic
Lead SponsorOTHER
National Cancer Institute (NCI)
CollaboratorNIH

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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)

Design outcomes

Primary

MeasureTime frameDescription
Specificity of ultrasound in detection of breast cancerUp to study completion, an average of 1 yearWill be reported including 95% confidence intervals derived from the cross-validation procedure.

Secondary

MeasureTime frameDescription
Accuracy in prediction of treatment responseUp to study completion, an average of 1 yearMorphological 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.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORAzra Alizad, M.D.

Mayo Clinic in Rochester

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026