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Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies.

Yu DingJingyu ZhangWeitao ZhuangZhen GaoKaiming KuangDan TianCheng DengHansheng WuRixin ChenGuojie LuGang ChenPaolo MendogniMarcello MiglioreMin-Woong KangRyu KanzakiYong TangJiancheng YangQiuling ShiGuibin Qiao
Published in: European radiology (2022)
• A novel diagnostic model of lung nodules was constructed by combining high-specific tumor markers with a high-sensitivity artificial intelligence diagnostic system. • The diagnostic model has good diagnostic performance in distinguishing malignant and benign pulmonary nodules, especially for nodules smaller than 2 cm. • The diagnostic model can assist the clinical decision-making of pulmonary nodules, with the advantages of high diagnostic efficiency, noninvasive, and simple measurement.
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