Benign/Cancer Diagnostics Based on X-Ray Diffraction: Comparison of Data Analytics Approaches
Date
May 15, 2025
Category
Medical Applications
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Simple Summary
Breast cancer is the most frequent cancer among women. Currently, histopathological analysis of biopsies is performed for both malignant and benign samples, with no effective triage system to ‘fast-track’ potential malignant cases. We propose a complementary method of benign/cancer classification based on X-ray scattering. Using and comparing machine learning approaches, we examined over 6000 measurements of benign and cancerous samples from 211 patients, achieving excellent results in distinguishing malignant and benign conditions. This can lead to a significant reduction in the turnaround time for the histopathological analysis and earlier diagnostics of malignancy, with potential impact on the survival rate for breast cancer patients.
