ISSN:2167-7964

Journal of Radiology
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  • Editorial   
  • OMICS J Radiol 2023, Vol 12(11): 513

Emerging Technologies: Microwave Imaging?s Impact on Breast Cancer Diagnosis

Janie Lee*
Department of radiology imaging, Ewha Womans University, Canada
*Corresponding Author : Janie Lee, Department of radiology imaging, Ewha Womans University, Canada, Email: Leejanie@hcu.gmail.com

Received Date: Nov 02, 2023 / Published Date: Nov 30, 2023

Abstract

This abstract provides a concise overview of the article titled "Emerging Technologies: Microwave Imaging’s Impact on Breast Cancer Diagnosis." The article delves into the transformative influence of microwave imaging on breast cancer diagnosis, exploring recent technological advancements and their clinical implications.

Microwave imaging, utilizing non-ionizing electromagnetic waves, presents a paradigm shift in breast cancer detection. Unlike traditional modalities, microwave imaging capitalizes on the distinct dielectric properties of healthy and cancerous breast tissues. Recent technological strides, including microwave tomography, radar-based imaging, and machine learning integration, have propelled this modality to the forefront of innovation.

Key advantages include non-ionizing radiation, heightened sensitivity to tissue properties, and superior contrast resolution. Microwave imaging exhibits the potential for early tumor detection, facilitating timely intervention and personalized treatment plans. The incorporation of machine learning algorithms enhances diagnostic accuracy, reducing false positives and minimizing unnecessary interventions.

However, challenges such as standardization, validation, and cost must be addressed for widespread clinical adoption. The article concludes by highlighting the promising future of microwave imaging, envisioning its integration into routine breast cancer screening protocols, and emphasizing its role in advancing women's health outcomes.

Citation: Lee J (2023) Emerging Technologies: Microwave Imaging’s Impact onBreast Cancer Diagnosis. OMICS J Radiol 12: 513.

Copyright: © 2023 Lee J. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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