CT影像组学特征在肺泡蛋白沉积症中的诊断价值  

The diagnostic value of computerized tomography-based radiomics features in pulmonary alveolar proteinosis

作　　者：王月明 喻航 王淼煜 史文佳 魏元辉 杨震[2] 陈良安 Wang Yue-Ming;Yu Hang;Wang Miao-Yu;Shi Wen-Jia;Wei Yuan-Hui;Yang Zhen;Chen Liang-An(School of Medicine,Nankai University,Tianjin 300071,China;Department of Pulmonary and Critical Care Medicine,Chinese PLA General Hospital,Beijing 100853,China;Medical School of Chinese PLA,Beijing 100853,China)

机构地区：[1]南开大学医学院,天津300071 [2]解放军总医院第一医学中心呼吸与危重症医学科,北京100853 [3]解放军医学院,北京100853

出　　处：《解放军医学杂志》2024年第7期739-746,共8页Medical Journal of Chinese People's Liberation Army

摘　　要：目的探讨CT影像组学特征在肺泡蛋白沉积症(PAP)中的诊断价值。方法回顾性分析2008年11月-2022年8月在解放军总医院就诊的24例PAP患者的一般资料及临床特征;另选取同期该院就诊的53例非PAP弥漫性肺疾病患者作为对照组;比较两组间10个常规胸部CT征象(语义特征)和107个CT影像组学特征的差异。将所有患者再按7:3随机分为训练组53例及验证组24例,采用训练组构建PAP诊断的CT语义特征模型、影像组学模型及联合模型,并在验证组利用受试者工作特征(ROC)曲线进行诊断效能比较。采用临床决策分析法检验各模型的临床PAP诊断应用价值。对PAP诊断效能最高的模型,计算影像学特征评分。结果共纳入PAP患者24例,男女比例3:1,年龄(44.6±15.2)岁,主要临床症状为气促、咳嗽、咳痰及胸闷等。与对照组比较,PAP组胸腔积液发生率明显降低(P<0.05),其余CT特征差异无统计学意义(P>0.05)。CT语义特征模型在训练组和验证组诊断PAP的曲线下面积(AUC)分别为0.590和0.594,在验证组诊断PAP的准确度、敏感度、特异度分别为0.188、1.000、0.188。影像组学模型在训练组和验证组诊断PAP的AUC分别为0.845和0.867,其在验证组诊断PAP的准确度、敏感度、特异度分别为0.641、0.938、0.703。联合模型在训练组和验证组诊断PAP的AUC分别为0.850和0.883,其在训练组诊断PAP的准确度、敏感度、特异度分别为0.688、0.750、0.938。联合模型或影像组学模型诊断PAP的AUC均明显大于CT语义特征模型(P<0.05),但联合模型与影像组学模型诊断PAP的AUC差异无统计学意义(P>0.05)。临床决策曲线分析结果显示,使用联合模型或影像组学模型预测PAP的临床应用价值均较高。结论与传统CT特征比较,CT影像组学在PAP诊断中有较高的临床应用价值。Objective To investigate the diagnostic value of CT radiomics features in pulmonary alveolar proteinosis(PAP).Methods The general data and clinical characteristics of 24 patients with PAP in the Chinese PLA General Hospital from November 2008 to August 2022 were retrospectively collected and analyzed.Another 53 patients with other diffuse lung diseases except for PAP during the same period served as control group.The differences in the 10 conventional CT signs(semantic features)and 107 radiomics features between the two groups were compared.All patients were randomly divided into the training group(n=53)and the validation group(n=24)at a ratio of 7:3.CT semantic feature model,radiomics model and combined model to diagnose PAP were constructed in training group,and the diagnostic efficacy of models was compared using the receiver operating characteristic(ROC)curve in validation group.Decision curve analysis(DCA)was used to assess the value of models for practical clinical application.Radscore was calculated for the model with the highest diagnostic efficacy.Results A total of 24 patients with pathologically confirmed PAP were enrolled,with a male to female ratio of 3:1 and an average age of(44.6±15.2)years.The main clinical symptoms of patients with PAP included shortness of breath,cough,sputum and chest tightness.Compared with control group,the incidence of pleural effusion in PAP group was significantly lower(P<0.05),while no significant differences were observed in other CT features(P>0.05).The areas under the curve(AUC)of the semantic feature model for diagnosing PAP in training and validation group were 0.590 and 0.594,respectively,and in validation group,the accuracy,sensitivity,and specificity for diagnosis of PAP were 0.188,1.000,and 0.188,respectively.The AUCs of the radiomics model in training group and validation group were 0.845 and 0.867,respectively,and in validation group,the accuracy,sensitivity,and specificity were 0.641,0.938,and 0.703,respectively.The AUCs of the combined model in training grou

关 键 词：肺泡蛋白沉积症 CT 影像组学 诊断模型 

分 类 号：R563[医药卫生—呼吸系统] R135.2[医药卫生—内科学]