Improvement observed in detection of actionable lung nodules with no increase in false-referral rates<\/p>\n<\/h3>\n
By Elana Gotkine HealthDay Reporter<\/b><\/p>\n
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FRIDAY, Feb. 10, 2023 (HealthDay News) — Artificial intelligence (AI)-based computer-aided detection (CAD) software improves the detection of actionable lung nodules on chest radiographs, without increased false-referral rates, according to a study published online Feb. 7 in Radiology<\/em>.<\/em><\/p>\n Ju Gang Nam, M.D., Ph.D., from the Artificial Intelligence Collaborative Network at the Seoul National University Hospital and College of Medicine in South Korea, and colleagues examined whether commercial AI-based CAD software can improve the detection rate of actionable lung nodules on chest radiographs in a single-center study. Participants who underwent chest radiography between July 2020 and December 2021 were enrolled and randomly assigned into an AI group and non-AI (control) group (5,238 to each group). Each radiograph was interpreted by one of three radiologists with 13 to 36 years of experience.<\/p>\n The researchers found that the trial met the predefined primary outcome, with an improved detection rate of actionable nodules in the AI versus non-AI group (0.59 versus 0.25 percent; odds ratio, 2.4). For malignant lung nodules, the detection rate was higher in the AI than non-AI group (0.15 versus 0.0 percent). Similar false-referral rates were seen for the AI and non-AI groups (45.9 versus 56.0 percent); positive-report rates were also similar between the groups (2.3 versus 1.9 percent).<\/p>\n “The improved detection rate of actionable lung nodules with a similar false-referral rate suggests that using AI-based CAD may improve lung cancer diagnosis without imposing an additional radiation hazard,” the authors write.<\/p>\n Several authors disclosed financial ties to the medical device industry.<\/p>\n Abstract\/Full Text<\/a><\/p>\n