The Role of Medical Imaging in the Early Diagnosis of Cancer – A Review
الموضوعات : ElectronicMelika Binesh 1 , Zahra gholipoor 2 , Mobina Hemat 3
1 -
2 - Departmant of electerical and biomedical engineering, semnan Branch, Islamic Azad University, Semnan, Iran
3 - Departmant of electerical and biomedical engineering, semnan Branch, Islamic Azad University, Semnan, Iran
الکلمات المفتاحية: Early Cancer Detection, Medical Imaging, MRI, CT Scan, PET, Mammography,
ملخص المقالة :
Early detection of cancer significantly improves the chances of successful treatment and patient survival. Medical imaging technologies play a pivotal role in identifying malignancies at their initial stages. This review explores various imaging modalities such as X-ray, CT, MRI, PET, ultrasound, and mammography, evaluating their effectiveness, advantages, and limitations in early cancer diagnosis. Each method offers unique benefits in terms of sensitivity, resolution, accessibility, and application to specific cancer types. Furthermore, recent advancements such as AI-assisted image analysis and hybrid imaging techniques are also discussed, highlighting their contribution to more accurate and early diagnoses. The article emphasizes the importance of integrating advanced imaging with clinical and molecular data to optimize early cancer detection strategies.
1. American Cancer Society. (2023). Cancer Facts & Figures 2023. American Cancer Society. Retrieved from https://www.cancer.org/
2. Jemal, A., Siegel, R. L., Ward, E. M., & Thun, M. J. (2020). Cancer statistics, 2020. CA: A Cancer Journal for Clinicians, 70(1), 7–30. https://doi.org/10.3322/caac.21590
3. Gupta, A., & Maturen, K. E. (2021). Advances in imaging for cancer diagnosis: Role of PET-CT and MRI. Radiologic Clinics of North America, 59(5), 843–856. https://doi.org/10.1016/j.rcl.2021.05.005
4. Moy, L., & Heller, S. L. (2022). Breast MRI for cancer screening and diagnosis. Radiology, 302(1), 15–26. https://doi.org/10.1148/radiol.2021211394
5. Thrall, J. H., Li, X., Li, Q., Cruz, C., Do, S., Dreyer, K., … & Brink, J. (2020). Artificial intelligence and machine learning in radiology: Opportunities, challenges, pitfalls, and criteria for success. Journal of the American College of Radiology, 17(10), 1223–1231. https://doi.org/10.1016/j.jacr.2020.03.019
6. World Health Organization. (2022). Cancer: Early diagnosis. Retrieved from https://www.who.int/news-room/fact-sheets/detail/cancer
