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Recruiting Phase 2, Phase 3 NCT04715958

Prediction of Neoadjuvant Chemotherapy Response Using Contrast-Enhanced Ultrasound in Patients With Locally Advanced Breast Cancer

Trial Parameters

Condition Anatomic Stage III Breast Cancer AJCC v8
Sponsor Kibo Nam
Study Type INTERVENTIONAL
Phase Phase 2, Phase 3
Enrollment 200
Sex FEMALE
Min Age 21 Years
Max Age N/A
Start Date 2020-12-07
Completion 2026-05-31
Interventions
Contrast-Enhanced UltrasoundPerflutren Lipid MicrospheresUltrasound

Brief Summary

This phase II/III trial studies if contrast-enhanced ultrasounds using a contrast dye, perflutren lipid microspheres (Definity), can predict the response to chemotherapy by estimating the pressure in the cancer in patients with breast cancer that has spread to nearby tissues and lymph nodes (locally advanced). The efficacy of cancer therapy is affected by the pressure in the cancer. Definity is a contrast dye used to create better images during ultrasounds. The purpose of this trial is to determine if a special kind of ultrasound, called contrast-enhanced ultrasound, an experimental imaging test, can detect pressures in cancer to determine the response to neoadjuvant chemotherapy in patients with breast cancer.

Eligibility Criteria

Inclusion Criteria: * Provide signed and dated informed consent form * Willing to comply with all study procedures and be available for the duration of the study * At least 21 years old * Be diagnosed with breast cancer (T1 or greater LABC, any N and M0) * Be scheduled for neoadjuvant chemotherapy * Be medically stable * Be conscious and able to comply with study procedures * If a female of child-bearing potential, must have a negative urine pregnancy test Exclusion Criteria: * Males * Females who are pregnant or nursing * Patients with other primary cancers requiring systemic treatment * Patients with any distal metastatic disease * Patients undergoing neoadjuvant endocrine therapy * Patients who are medically unstable, patients who are seriously or terminally ill, and patients whose clinical course is unpredictable. For example: * Patients on life support or in a critical care unit; * Patients with unstable occlusive disease (e.g., crescendo angina); * Patients with clinically unstab

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