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Neural network identifies high-risk smokers for lung-cancer screening

Journal
Annals of Internal Medicine
Reuters Health - 01/09/2020 - A new neural network can use chest x-rays to improve the identification of high-risk smokers for lung-cancer screening CT, researchers report. "We designed this model to take inputs that are commonly available in day-to-day practice - a chest x-ray image, age, sex, and whether the person is a current smoker," explained Dr. Michael T. Lu of Massachusetts General Hospital and Harvard Medical School, in Boston. "This is different than the way we assess lung-cancer risk now, which is based on the amount of smoking (e.g., number of cigarette packs per day times the number of years of smoking)," he told Reuters Health by email. "Limitations of this smoking-based approach are that people may not recall their smoking history accurately and that there is variability in how peoples' lungs respond to smoking," he said. Dr. Lu and colleagues developed their model, called CXR-LC, using data from the PLCO Cancer Screening Trial and vali...


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