Gradient-Boosting Algorithm for Microwave Breast Lesion Classification—SAFE Clinical Investigation

We are thrilled to share our latest research publication titled "Gradient-Boosting Algorithm for Microwave Breast Lesion Classification—SAFE Clinical Investigation." This study represents a significant milestone in our ongoing efforts to enhance breast cancer diagnosis and treatment through innovative technology and advanced algorithms.

About the Publication:

Microwave breast imaging (MBI) is a promising breast-imaging technology that uses harmless electromagnetic waves to radiate the breast and assess its internal structure. It utilizes the difference in dielectric properties of healthy and cancerous tissue, as well as the dielectric difference between different cancerous tissue types to identify anomalies inside the breast and make further clinical predictions. In this study, we evaluate the capability of our upgraded MBI device to provide breast tissue pathology. Methods: Only patients who were due to undergo biopsy were included in the study. A machine learning (ML) approach, namely Gradient Boosting, was used to understand information from the frequency spectrum, collected via SAFE, and provide breast tissue pathology. Results: A total of 54 patients were involved in the study: 29 of them had benign and 25 had malignant findings. SAFE acquired 20 true-positive, 24 true-negative, 4 false-positive and 4 false-negative findings, achieving the sensitivity, specificity and accuracy of 80%, 83% and 81%, respectively. Conclusions: The use of harmless tissue radiation indicates that SAFE can be used to provide the breast pathology of women of any age without safety restrictions. Results indicate that SAFE is capable of providing breast pathology at a high rate, encouraging further clinical investigations.

Key Findings:

• The study included 54 patients undergoing biopsy, with results indicating a sensitivity of 80%, specificity of 83%, and an overall accuracy of 81% for the SAFE system.
• The use of harmless electromagnetic waves in MBI enables safe breast pathology assessment for women of all ages, without safety restrictions.
• MBI shows potential for early breast cancer screening and diagnostics, offering a non-invasive and non-ionizing alternative to traditional methods like mammography, especially for women under 40 and those with dense breasts.

Access the Publication:

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We are proud of the progress we have made in harnessing the potential of MBI and ML algorithms for breast cancer diagnosis. This publication underscores our commitment to advancing medical imaging technologies that can make a meaningful impact on patient care. We invite you to explore the study findings and join us in our mission to improve breast cancer detection and treatment through innovation.