A study of over 10,000 non-smokers found that a significant portion had solid lung nodules, challenging the traditional view that non-smokers are at low risk, and suggesting current nodule follow-up guidelines may lead to unnecessary exams in low-risk individuals.
A recent study led by researchers at the National Cancer Institute suggests that about 10% of men and 20% of women who develop lung cancer have never smoked and that there are three molecular subtypes of lung cancer in people who have never smoked. Here are some insights.
A recent study found the 2021 lung cancer screening recommendations from the U.S. Preventive Services Task Force will likely expand screening eligibility by nearly 54%, increasing the overall proportion of women, racial, and ethnic minority groups, as well as individuals with lower socioeconomic status.
An artificial intelligence program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a study published in the journal Radiology.
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CT features may help identify which patients with stage IA non-small cell lung cancer are optimal candidates for sublobar resection, rather than more extensive surgery.
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A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging.
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Virtual Nodule Clinic empowers clinicians to make optimal clinical decisions in early-stage lung cancer diagnosis and is now commercially available in the United States.
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According to the American Journal of Roentgenology, updated U.S. Preventive Services Task Force lung cancer screening guidelines based solely on age, pack-years, and quit-years perpetuate eligibility disparities among racial and ethnic minorities, although incorporating certain risk prediction models may help reduce such inequalities.
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