中国中医药信息杂志2024，Vol.31Issue(10)：149-156,8.DOI:10.19879/j.cnki.1005-5304.202402277
基于舌象特征逻辑回归的肺癌风险预警模型研究
Study on Lung Cancer Risk Warning Model Based on Tongue Image Feature Logistic Regression
摘要
Abstract
Objective To analyze the objective tongue diagnosis data characteristics of benign and malignant pulmonary nodules and to establish a lung cancer risk warning model based on the logistic regression method.Methods From July 2020 to March 2022,263 lung cancer patients(lung cancer group)from the Oncology Department of Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,292 benign pulmonary nodules patients(benign pulmonary nodules group)from the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,and 307 healthy individuals(healthy control group)were selected.TFDA-1 digital tongue diagnostic instrument was used to collect tongue images.Objective diagnostic features of the tongue were obtained through feature extraction technology.The distribution characteristics of the tongue indicators of the three groups of subjects were analyzed.A lung cancer warning model was established based on logistic regression method after feature screening,and the performance of the model was evaluated using sensitivity,specificity,accuracy,and AUC.Results The tongue features of patients in benign pulmonary nodules group were similar to those of the healthy control group,while the tongue features of the lung cancer group differed greatly from those of the healthy control group and benign pulmonary nodules group.The tongue features of lung cancer patients were dark and opaque,the tongue body was reddish,and the tongue coating is thin and yellowish with a greasy texture.The accuracy,sensitivity,specificity and AUC of the lung cancer warning model based on tongue image data were 70.09%,69.94%,70.29%and 0.769,respectively.After adding baseline information to the tongue image data set,the models'performance was improved.The accuracy,sensitivity,specificity and AUC of the new model based on tongue and baseline were 77.30%,75.94%,79.15%and 0.812,respectively.Conclusion The statistical characteristics of objective tongue image data between benign pulmonary nodules and lung cancer patients show significant differences.The lung cancer classification model based on objective tongue data performs well,and the objective tongue diagnosis data in TCM can provide reference for the differential diagnosis of benign pulmonary nodules and lung cancer.关键词
肺结节/肺癌/舌诊/逻辑回归/风险预警模型Key words
benign pulmonary nodule/lung cancer/tongue image/logistic regression/risk warning model分类
中医学引用本文复制引用
石玉琳,春意,刘嘉懿,刘苓霜,许家佗..基于舌象特征逻辑回归的肺癌风险预警模型研究[J].中国中医药信息杂志,2024,31(10):149-156,8.基金项目
上海市"科技创新行动计划"启明星培育(扬帆专项)(22YF1448900) （扬帆专项）
国家自然科学基金青年科学基金(82305090) （82305090）
上海市卫健委临床研究专项(20234Y0168) （20234Y0168）
国家重点研发计划-中医药现代化研究重点专项(2017YFC1703301) （2017YFC1703301）
