基于临界慢化原理探讨肺“结-癌转化”的“未-已病”表征体系  

“Pre-post Disease”Characterization System for the Lung“Nodule-cancer Transformation”Based on the Principle of Critical Slowing Down

作　　者：肖冲[1,2] 黄文博 李雪珂 任益锋 付西 由凤鸣[1,2] XIAO Chong;HUANG Wenbo;LI Xueke;REN Yifeng;FU Xi;YOU Fengming(Hospital of Chengdu University of Traditional Chinese Medicine,Chengdu 610075,China;Department of Oncology,Chengdu University of Traditional Chinese Medicine,Chengdu 610000,China)

机构地区：[1]成都中医药大学附属医院,成都610075 [2]成都中医药大学肿瘤学教研室,成都610000

出　　处：《世界中医药》2024年第23期3655-3659,共5页World Chinese Medicine

基　　金：国家自然科学基金青年科学基金项目(82205072);中国博士后科学基金面上项目(2023MD734101);四川省自然科学基金青年项目(2023NSFSC1815)。

摘　　要：肺结节存在癌变风险且检出人群激增,过度诊疗带来的身心、经济负担已成为社会性问题,肺“结-癌转化”的实质是机体全身“未-已病”在肺脏局部的具体表现,这一临界状态的时机判断是实现精准诊疗的关键。以中医整体观认知为指导,认识肺“结-癌转化”进程中的宏观体征与微观生物基础变化,基于临界慢化原理联合生物学、数学、人工智能等多学科交叉手段,提出“四诊影像宏观信息-动态网络生物标志物(DNB)-呼出气微生态”的宏微观映射模型;并探讨构建以动力系统理论为核心的变分自动编码器(VAE)-生成式对抗网络(GAN)-视觉自注意力模型(ViT)深度学习算法框架,揭示肺“结-癌转化”这一“未-已病”进程的基础-拟合-临床多元表征体系,以期实现对其临界状态的精准时机判断及早期肺癌预警。Lung nodules carry a risk of cancer transformation,and the rapidly increasing detection rate has led to the emergence of social concerns related to overtreatment,resulting in physical,mental,and economic burdens.The“nodule-cancer transformation”in the lungs represents the local manifestation of the body′s systemic“pre-post disease”,and the timing of this critical state is crucial for achieving precise diagnosis and treatment.Guided by the holistic view of traditional Chinese medicine(TCM),this study aims to explore the macroscopic signs and microscopic biological basis changes in the lung′s“nodule-cancer transformation”process.Based on the principle of critical slowing down,multidisciplinary approaches were combined,such as biology,mathematics,and artificial intelligence,to propose a“four diagnostic imaging macro-information-dynamic network biomarkers(DNB)-exhaled gas microecology”model for the macro-micro mapping of lung conditions.Furthermore,a deep learning algorithm framework based on the variational autoencoder(VAE),generative adversarial network(GAN),and vision transformer(ViT)model,centered around the theory of dynamical systems,was constructed.This framework aimed to unveil the fundamental,fitting,and clinical multivariate characterization system of the“nodule-cancer transformation”,ultimately facilitating precise timing judgment for this critical state and providing early warning for lung cancer.

关 键 词：临界慢化原理 肺结节 肺癌 肺“结-癌转化” 未病 判断时机 动态网络生物标志物 深度学习算法 

分 类 号：R256.1[医药卫生—中医内科学]