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The purpose of the study is to test the hypothesis that quantitative ultrasound techniques including spectroscopy may be used as a non-invasive biomarker for characterization of suspected breast cancers. The main goal is to select and identify an optimal set of quantitative ultrasound parameters that can be used, non-invasively, to characterize suspected breast cancers, as identified based on the histopathology reports on core biopsy specimens, surgery reports, or radiology reports. Primary endpoint will correlate quantitative ultrasound parameters to the histopathological properties, as determined from pathology reports on core biopsy specimens, surgery reports, or radiology reports. The secondary endpoint in this study will include correlating the results of ultrasound-based breast cancer characterization with 2 and 5-years clinical outcomes.
This project is an observational/early validation study in human subjects that will use ultrasound imaging and spectroscopy to characterize suspected breast cancers. Patients will be imaged with ultrasound, and the acquired data will be analyzed using quantitative ultrasound techniques, in conjunction with textural analysis on generated parametric images. Results of quantitative ultrasound data analysis for these breast lumps will be compared to and correlated with histopathological characteristics from pathology reports on core biopsy specimens, surgery reports, or radiology reports.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patient with suspected breast cancer | Patients with suspected breast cancer will be recruited and scanned for this study. The results of ultrasound data analysis will be compared and correlated to the histopathology reports on routine core biopsy specimens, surgery reports, or radiology reports. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ultrasound Imaging 3D and Spectroscopy | Device | Ultrasound imaging and spectroscopy will consist of collecting three dimensional data. Regions of interest in each of the tumour images and in the adjacent normal tissue will be selected for analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation of quantitative ultrasound parameters to the histopathological properties of suspected breast cancer tissues. | As a primary endpoint, correlate changes in ultrasound backscatter parameters obtained using spectroscopic techniques, in conjunction with textural analysis on generated parametric images, to the histopathological characteristics from pathology reports on core biopsy specimens, surgery reports, or radiology reports. | Up to 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Correlating the results of ultrasound-based breast cancer characterization to clinical outcomes. | The secondary endpoint in this study will include correlating the results of ultrasound-based breast cancer characterization with 2 and 5-years clinical outcomes. | Up to 5 years |
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Inclusion Criteria:
Exclusion Criteria:
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Women or men with suspected breast cancer.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gregory J Czarnota, PhD, MD | Contact | (416) 480-5329 | Gregory.Czarnota@sunnybrook.ca |
| Name | Affiliation | Role |
|---|---|---|
| Gregory J Czarnota, PhD, MD | Sunnybrook Health Sciences Centre | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sunnybrook Health Sciences Centre | Toronto | Ontario | M4N 3M5 | Canada |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D013057 | Spectrum Analysis |
| ID | Term |
|---|---|
| D002623 | Chemistry Techniques, Analytical |
| D008919 | Investigative Techniques |
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| D017437 |
| Skin and Connective Tissue Diseases |