摘要
肺结节发病率非常高, 隐藏其中的早期肺癌因为结节较小很难诊断, 常引起延误诊断或过度治疗。为重视和解决这一问题, 并基于以往经验特提出"难定性肺结节"这一新的分类。"难定性肺结节"定义为无法通过非手术活检明确诊断, 且高度怀疑为早期肺癌的肺结节。可通过白春学提出的将"复杂问题简单化、简单问题数字化、数字问题程序化, 程序问题体系化"的物联网医学技术, 同质化提高评估肺结节中早期肺癌的敏感度和特异度, 避免延误诊断和过度治疗。
Small pulmonary nodules(SPNs)have a high incidence.In the early stage of lung cancer,the SPNs are often too small to be determined,which may lead to misdiagnosis or overtreatment.To analyze these SPNs,a new classified into"Difficult Indeterminate Pulmonary Nodule"is proposed,defining as those that cannot be determined through non-surgery biopsy and highly indicative of early-stage lung cancer.Through a strategy of Medical Internet of Things proposed by Bai Chunxue"simplifying complex issues,quantifying simple issues,programming quantified issues,and systematizing programmed issues",aiming to improve the sensitivity and specificity on the basis of homogenization in the diagnosis of early-or intermediate-stage lung cancer,thus preventing misdiagnosis and overtreatment.
作者
杨达伟
童琳
Charles A.Powell
白春学
Yang Dawei;Tong Lin;Charles A.Powell;Bai Chunxue(Department of Pulmonary and Critical Care Medicine,Zhongshan Hospital Fudan University,Shanghai Respiratory Research Institution,Shanghai Engineer&Technology Research Center of Internet of Things for Respiratory Medicine,Shanghai 200032,China;Division of Pulmonary,Critical Care and Sleep Medicine,Icahn School of Medicine at Mount Sinai,New York 10029,USA)
出处
《国际呼吸杂志》
2022年第1期1-4,共4页
International Journal of Respiration
基金
上海市科学技术委员会基金(21DZ2200600、20DZ2254400)。
关键词
孤立性肺结节
人工智能
物联网医学
Solitary pulmonary nodule
Artificial intelligence
Medical Internet of Things
