Lung Cancer Screening: Optimizing Protocols and Addressing Challenges
*Corresponding Author: Dr. Soo-Jin Lee, Department of Thoracic Oncology Imaging, Incheon Medical University, South Korea, Email: s.lee@lungscan.krReceived Date: Sep 03, 2025 / Published Date: Sep 30, 2025
Citation: Lee DS (2025) Lung Cancer Screening: Optimizing Protocols and Addressing Challenges. J Radiol 14: 731.DOI: 10.4172/2167-7964.1000731
Copyright: © 2025 Dr. Soo-Jin Lee This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Low-dose computed tomography (LDCT) is the established method for lung cancer screening in high-risk individuals, demonstrably reducing mortality. Current guidelines, though slightly varied, target heavy smokers aged 50-80. Research focuses on optimizing criteria, managing nodules via systems like Lung-RADS, and mitigating overdiagnosis. The NLST trial provides foundational evidence. Implementation requires addressing adherence, cost-effectiveness, and patient engagement through shared decision-making. AI is emerging as a tool to enhance screening efficiency.
