Screening for Lung Cancer.
2/5 보강
OpenAlex 토픽 ·
Lung Cancer Diagnosis and Treatment
Radiomics and Machine Learning in Medical Imaging
COVID-19 diagnosis using AI
Lung cancer screening with low-dose computed tomography (CT) reduces mortality but requires integrated, system-based implementation.
APA
Maximiliano Klug, Margit V. Szabari, et al. (2026). Screening for Lung Cancer.. Radiologic clinics of North America, 64(3), 453-464. https://doi.org/10.1016/j.rcl.2026.01.015
MLA
Maximiliano Klug, et al.. "Screening for Lung Cancer.." Radiologic clinics of North America, vol. 64, no. 3, 2026, pp. 453-464.
PMID
42020070 ↗
Abstract 한글 요약
Lung cancer screening with low-dose computed tomography (CT) reduces mortality but requires integrated, system-based implementation. Review of evolving screening strategies highlighting risk-prediction models, imaging advances, and Lung CT Screening Reporting and Data System (Lung-RADS) as a standardized framework linking findings to management. Current low-dose chest CT requires comparing with earliest CT to detect change; Lung-RADS categories guide management with increasing complexity. AI enhances nodules detection and risk stratification but requires radiologist oversight; computer-aided detection supports consistency and longitudinal tracking. Implementation demands scalable infrastructure, targeted outreach, and continuous quality improvement to maximize survival benefits and equity.
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