Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
Series Vol. 6 , 03 August 2023
Open
Access | Article
Effectiveness of early cancer detection method: magnetic resonance imaging and X-ray technique
* Author to whom correspondence should be addressed.
Abstract
Cancer is a major problem plaguing human society today. With the research and development of nano-drug delivery technology and new non-surgical treatment methods, many types of early cancers can be cured or effectively controlled. However, the current treatment methods for advanced cancer are still limited, and efficient early cancer identification is crucial for enhancing patients’ prognosis and survival rates. Magnetic resonance imaging (MRI) and X-ray technologies are currently the mainstream and generally applicable means of early cancer detection. However, there is a lack of unified comparison and interpretation for their respective applicable cancer detection types. Herein, the paper first provides a comprehensive comparison and explanation of the working principles of the two technologies, as well as their advantages and disadvantages. Further, this article introduces the application of MRI and X-ray technology in the early detection of different common cancer types, including lung, breast, and brain cancers. The paper found that MRI is crucial in the early detection of brain cancer, and X-ray is a common method for lung cancer screening. With further advances in technology, cancer-related deaths can be further curbed.
Keywords
early cancer detection method, magnetic resonance imaging, X-ray technique
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
- ISBN (Print)
- 978-1-915371-65-2
- ISBN (Online)
- 978-1-915371-66-9
- Published Date
- 03 August 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/6/20230279
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited