240 Participants Needed

Ultrasound-Guided Chemotherapy for Breast Cancer

Gregory J Czarnota, PhD, MD profile photo
Overseen ByGregory J Czarnota, PhD, MD
Age: 18+
Sex: Female
Trial Phase: Academic
Sponsor: Sunnybrook Health Sciences Centre
Stay on Your Current MedsYou can continue your current medications while participating
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

What data supports the effectiveness of the treatment Ultrasound-Guided Chemotherapy for Breast Cancer?

Research shows that quantitative ultrasound (QUS) can effectively predict how breast cancer patients will respond to chemotherapy, with an accuracy of up to 88%. QUS can also monitor changes in tumors early in treatment, helping to predict patient outcomes and survival rates.12345

How does ultrasound-guided chemotherapy differ from other breast cancer treatments?

Ultrasound-guided chemotherapy for breast cancer is unique because it uses quantitative ultrasound (QUS) to non-invasively monitor and predict how well a patient will respond to chemotherapy. This method can provide early insights into treatment effectiveness by analyzing changes in tissue structure, which helps tailor treatments to individual patients more effectively than traditional methods.12346

What is the purpose of this trial?

The primary objective of this study is to assess the feasibility of randomizing breast cancer patients to quantitative ultrasound to guide adaptive Neoadjuvant Chemotherapy as compared to standard clinical monitoring and therapy. The Investigators have previously demonstrated that high-frequency ultrasound and spectroscopy, and recently conventional-frequency ultrasound and spectroscopy may be used to detect cell death in vitro, in situ and in vivo. The method can detect different forms of cell death and has been demonstrated to be sensitive to apoptotic, necrotic and mitotic cell death. By detecting cell death early in a treatment on the order of hours to days, rather than traditional anatomical assessments that take place weeks to months after the completion of therapy, ineffective therapies could be switched to more efficacious treatments or aggressive salvage therapy which has shown to already benefit patients. The overarching goal of this research is to transform the delivery of neoadjuvant chemotherapy using quantitative ultrasound (QUS), which is non-invasive, inexpensive and portable.

Research Team

Gregory Czarnota | Medical Biophysics

Gregory J Czarnota, PhD, MD

Principal Investigator

Sunnybrook Health Sciences Centre

Eligibility Criteria

This trial is for women over 18 with breast cancer tumors larger than 2cm who are eligible for chemotherapy. They must have normal liver enzymes, cardiac function, creatinine levels, and blood counts. It's not for those with skin diseases affecting the breast, inflammatory breast cancer, contraindications like pregnancy or past connective tissue disease.

Inclusion Criteria

My breast cancer tumor is larger than 2cm.
I am a woman aged 18 or older.
Your liver enzymes (AST and ALT) should be within a certain range, not too high.
See 5 more

Exclusion Criteria

I do not have severe nerve damage.
My cancer has spread to distant parts of my body.
I need help with my daily activities due to my health condition.
See 5 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive adaptive neoadjuvant chemotherapy guided by quantitative ultrasound or standard neoadjuvant chemotherapy

12 weeks
Visits at Pre-treatment, Weeks 1, 4, 8, 12, and Pre-Operatively

Follow-up

Participants are monitored for safety and effectiveness after treatment

Up to 5 years

Treatment Details

Interventions

  • Quantitative Ultrasound
Trial Overview The study tests if using quantitative ultrasound (QUS) to monitor cell death can guide adjustments in neoadjuvant chemotherapy more effectively than standard monitoring. The goal is to identify ineffective treatments early and switch to better options quickly.
Participant Groups
2Treatment groups
Experimental Treatment
Active Control
Group I: Adaptive Chemotherapy MonitoringExperimental Treatment1 Intervention
Patients who will be randomized to the experimental arm Adaptive Chemotherapy Monitoring and demonstrate Response (+) will continue until standard chemotherapy is completed. For patients who do not demonstrate response after 4 weeks of chemotherapy, an early switch to the second phase of chemotherapy could occur (Phase II/Taxane) At the discretion of the treating medical oncologist. Patients will undergo Quantitative Ultrasound on the following time points: Pre-treatment, Weeks 1, 4, 8, 12 and Pre-Operatively. These QUS time points correspond to the following chemotherapy times.
Group II: Standard Neoadjuvant Chemotherapy MonitoringActive Control1 Intervention
Patients who will be randomized to the control arm with Standard Neoadjuvant Chemotherapy Monitoring will receive Phase I chemotherapy consisting of anthracycline-based treatment followed by Phase II chemotherapy consisting of taxane-based treatment. Patients will be imaged but no modifications to treatment will occur in this trial arm depending on response by quantitative ultrasound.

Find a Clinic Near You

Who Is Running the Clinical Trial?

Sunnybrook Health Sciences Centre

Lead Sponsor

Trials
693
Recruited
1,569,000+

Findings from Research

Quantitative ultrasound (QUS) can effectively predict the response of breast cancer patients to neoadjuvant chemotherapy (NAC) with an impressive accuracy of 88%, based on a study of 56 patients.
QUS features were found to be more effective than molecular markers in predicting patient outcomes, including five-year recurrence-free survival, highlighting its potential as a non-invasive diagnostic tool.
A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound.Tadayyon, H., Sannachi, L., Gangeh, MJ., et al.[2018]
Quantitative ultrasound (QUS) imaging can effectively and non-invasively monitor the response of breast cancer patients to chemotherapy, with a study involving 100 patients showing high accuracy in predicting treatment responses.
QUS biomarkers that assess intra-tumour heterogeneity can predict patient outcomes with accuracies ranging from 82% to 89% at different time points after treatment initiation, indicating that this method could help tailor cancer treatments to individual patients based on their early response.
Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities.Sadeghi-Naini, A., Sannachi, L., Tadayyon, H., et al.[2020]
Quantitative ultrasound (QUS) can effectively predict recurrence in patients with locally advanced breast cancer during neoadjuvant chemotherapy, with a study of 83 patients showing that the k-NN classifier achieved an accuracy of 81% at week 4.
Incorporating texture derivatives from QUS data significantly improved prediction accuracy, increasing the area under the curve (AUC) from 0.70 to 0.83, indicating that treatment-related changes provide valuable insights for predicting clinical outcomes.
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer.Bhardwaj, D., Dasgupta, A., DiCenzo, D., et al.[2022]

References

A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound. [2018]
Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities. [2020]
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer. [2022]
Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach. [2023]
Implementation of Non-Invasive Quantitative Ultrasound in Clinical Cancer Imaging. [2022]
Noninvasive Evaluation of Breast Tumor Response to Combined Ultrasound-Stimulated Microbubbles and Hyperthermia Therapy Using Quantitative Ultrasound-Based Texture Analysis Method. [2023]
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