Publication: Gradient-boosting algorithm for microwave breast lesion classification-safe clinical investigation
Loading...
Files
Date
2022-12-13
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
) Background: 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. (2) 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. (3) 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. (4) 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.
Description
Keywords
microwave breast imaging (MBI), SAFE, breast lesion classification, machine learning
Citation
Janjic A., Akduman I., Cayoren M., Bugdayci O., Aribal M. E., "Gradient-Boosting Algorithm for Microwave Breast Lesion Classification-SAFE Clinical Investigation.", Diagnostics (Basel, Switzerland), cilt.12, sa.12, 2022