首页|基于18F-FDG PET/CT建立孤立性肺空洞的数学模型

基于18F-FDG PET/CT建立孤立性肺空洞的数学模型

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目的 利用Logistic回归分析建立18F-FDG PET/CT的数学模型用以诊断孤立性肺空洞的良恶性.方法 分析2020年12月至2023年2月在吉林大学中日联谊医院PET/CT中心行18 F-FDG PET/CT检查的孤立性肺空洞病例共92例,其中男61例,女31例,对病例的一般资料及图像特征进行单因素分析及多因素二元Logistic回归分析,筛选出与孤立性肺空洞良恶性相关的独立危险因素,建立数学模型,并通过比较受试者工作曲线下面积(AUC)比较该模型、CT、PET及PET/CT对孤立性肺空洞的诊断效能.结果 92例患者中良性32例(34.78%)、恶性60例(65.22%),单因素分析结果提示以下因素在良恶性组间差异有统计学意义(P<0.05):病灶SUVmax值、病灶SUVmax/肝脏SUVmean、病灶SUVmax/脾脏SUVmean、病灶最大径、空洞壁不均匀、空洞壁分叶、胸膜牵拉、空洞内壁结节及偏心性空洞.通过Logistic回归分析构建数学模型为:y=exp(x)/[1+exp(x)],x=-2.022+0.419×(病灶 SUVmax/脾脏 SUVmean)-(0.462 × 病灶最大径)+2.023 × 空洞壁分叶+1.341 ×偏心性空洞;选取y=0.51为截断值,灵敏性、特异性、准确性、阳性预测值及阴性预测值分别为 91.70%、75.00%、83.35%、78.58%及 90.04%;该模型的 AUC 为 0.875[90%可信区间(CI):0.795~0.995],显著大于 CT 的 AUC(Z=2.424,P<0.05)及病灶 SUVmax/脾脏 SUVmean的 AUC(Z=3.276,P<0.05),与18F-FDG PET/CT 的 AUC 比较,差异无统计学意义(Z=-0.249,P>0.05).结论 利用Logistic回归分析建立的PET/CT数学模型对孤立性肺空洞良恶性鉴别具有较好诊断效能及较高临床价值.
Establishment of a mathematical model for solitary pulmonary cavity based on 18F-FDG PET/CT
Objective To establish a mathematical model of 18F-FDG PET/CT for the diagnosis of benign and malignant solitary pulmonary cavity by Logistic regression analysis.Methods We analyzed 92 patients with solitary pulmonary cavity who underwent18F-FDG PET/CT examination in the PET/CT Center of China-Japan Union Hospital of Jilin University from December 2020 to February 2023,including 61 males and 31 females.The general data and image features of these patients were analyzed by univariate analysis and multivariate Logistic regression analysis.The independent predictors of malignancy were esti-mated,then the mathematical model was established.The diagnostic capabilities of the model,CT,PET and PET/CT for solitary pulmonary cavity were compared by comparing the area under the receiver operat-ing characteristic curve(AUC)of them.Results 34.78%of the cavities were benign,and 65.22%of the cavities were malignant in 92 patients.Univariate analysis showed that the following factors were statis-tically significant between the benign and malignant groups:SUVmax,SUVmax/SUVmean liver,SUVmax/SUVmean spleen,endocaval tubercle and eccentric cavity.The mathematical model established by Logistic regression analysis was y=exp(x)/[1+exp(x)],x=-2.022+0.419 ×(SUVmax/SUVmean spleen)-[0.462 ×(maximum diameter of lesion)+2.023 × lobulation+1.341 × eccentric cavity.When the cut-off value was set at y=0.51,the sensitivity,specificity,accuracy,positive predictive value and negative predictive value of our model were 91.70%,75.00%,83.35%,78.58%and 90.04%,respectively.The AUC of the model was 0.875[95%confidence interval(CI):0.795 to 0.955],which was greater than that of CT(Z=2.424,P<0.05)and SUVmax/SUVmean spleen(Z=3.276,P<0.05),and had no significant difference from that of PET/CT(Z=-0.249,P>0.05).Conclusion The mathematical model of PET/CT established by Logistic regression analysis has good diagnostic performance in the diagno-sis of benign and malignant solitary pulmonary cavity and high clinical value.

Solitary pulmonary cavity18F-FDGPETCTLogistic regression analysis

刘鹏莉菲、肖帅、葛晓光、陈滨、马庆杰

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吉林大学中日联谊医院核医学科,长春 130033

孤立性肺空洞 氟化去氧葡萄糖 正电子发射断层显像 电子计算机断层扫描 Logistic回归

吉林省自然科学基金

20210101445JC

2024

中华实验外科杂志
中华医学会

中华实验外科杂志

CSTPCD
影响因子:0.759
ISSN:1001-9030
年,卷(期):2024.41(2)
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