Study of the TheraBionic P1 Device in Early-Stage Breast Cancer
This study is looking at how a device called TheraBionic P1 might affect early-stage breast cancer. The TheraBionic P1 device uses amplitude-modulated electromagnetic fields. You would use this device three times a day for 60 minutes each time, in the morning, midday, and evening, before having surgery for your breast cancer. This study is for women aged 22 and older who have early-stage breast cancer (Stage I, II, or IIIA) that is hormone receptor positive (meaning it responds to hormones) and HER2-negative (meaning it doesn't have too much of a protein called HER2). The main goal is to see how the cancer responds to this treatment by the time of surgery, which is about two weeks after starting treatment. The study plans to enroll 24 participants.
- Study design
- This is an interventional study, meaning participants will receive a specific treatment. It plans to enroll 24 women.
- What's involved
- You would self-administer the TheraBionic P1 device three times a day for 60 minutes each time (morning, midday, evening) for approximately two weeks before surgery.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary outcome is measured at the time of surgery, after approximately two weeks of treatment.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
A Study of the TheraBionic P1 Device in Breast Cancer
At a glance
Conditions
Where it's being run
8 sites across 1 statesStudy leadership
- Lubina Arjyal, M.D. · PRINCIPAL_INVESTIGATOR · Wayne State University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Pathological Response to TreatmentAt time of surgery (after approximately 2 weeks of treatment and tumor resection)
Proportion of responders based on residual cancer cells in a resection specimen will be quantified. The response rate will be estimated as the proportion of patients who respond to treatment relative to all patients. The corresponding two-sided 95% confidence interval (CI) will be calculated using Clopper and Pearson's method