首页|IVIM-DWI联合血清肿瘤标志物对小细胞肺癌及非小细胞肺癌的鉴别价值

IVIM-DWI联合血清肿瘤标志物对小细胞肺癌及非小细胞肺癌的鉴别价值

Value of IVIM-DWI Combined with Serum Tumor Markers in Differentiating Small Cell Lung Cancer from non-Small Cell lung Cancer

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目的 探讨体素内不相干运动扩散加权成像(IVIM-DWI)定量参数联合血清肿瘤标志物对小细胞肺癌(SCLC)及非小细胞肺癌(NSCLC)的鉴别价值.方法 回顾性分析2021年1月至2023年9月经病理证实的肺癌患者89例,根据病理结果分为SCLC组32例和NSCLC组57例(NSCLC包括20例鳞状细胞癌、37例腺癌).检测患者神经元特异性烯醇化酶(NSE)、癌胚抗原(CEA)、细胞角蛋白19片段(CYFRA21-1)等血清肿瘤标志物水平.测量患者IVIM-DWI参数,包括扩散系数(D)、伪扩散系数(D*)、灌注分数(f)及表观扩散系数(ADC).比较两组间的IVIM-DWI参数及血清肿瘤标志物的差异,将两组间差异有统计学意义的指标分别构建单一血清肿瘤标志物预测模型、IVIM-DWI单一参数预测模型、血清肿瘤标志物联合预测模型、IVIM-DWI参数联合预测模型、血清肿瘤标志物+IVIM-DWI预测模型,受试者工作特征(ROC)曲线分析各模型的诊断效能.结果 SCLC组NSE水平高于NSCLC组,而CEA、CYFRA21-1水平均低于NSCLC组,差异均有统计学意义(P<0.05).SCLC组的D、ADC值均小于NSCLC组,差异有统计学意义(P<0.05),f及D*值组间差异均无统计学意义(P>0.05).单独使用NSE、CEA、CYFRA21-1、ADC 值、D 值模型鉴别 SCLC 及 NSCLC 的 ROC 曲线下面积(AUC)分别为 0.668、0.658、0.634、0.722、0.747,各模型之间差异无统计学意义(P>0.05).3种联合模型的AUC均高于单一模型,且血清肿瘤标志物+ADC+D联合模型诊断效能最高,AUC达0.860.结论 血清肿瘤标志物与IVIM-DWI参数联合可提高SCLC及NSCLC的鉴别效能.
Objective To explore the value of quantitative parameters of intravoxel incoherent motion-weighted imaging(IVIM-DWI)combined with serum tumor markers in the differential diagnosis of small cell lung cancer(SCLC)and non-small cell lung cancer,NSCLC).Methods Eighty-nine patients with lung cancer confirmed by pathology from January 2021 to September 2023 were retrospectively analyzed andwere divided into 32 patientswith SCLC group and 57 patients with NSCLC group(20 with squamous cell carcinoma,37 with adenocarcinoma)according to the pathological results.Neuron-spe-cific enolase(NSE),carcinoembryonic antigen(CEA),cytokeratin 19 fragment antigen21-1(CYFRA21-1),diffusion coef-ficient(D),pseudo-diffusion coefficient(D*),perfusion fraction(f)and apparent diffusion coefficient(ADC)were de-tected.The predictive models of single serum tumor marker,single IVIM-DWI parameter,multiple serum tumor markers,multiple IVIM-DWI parameters,serum tumor markers+IVIM-DWI were constructed.The receiver operating characteristic(ROC)curve to analyze the diagnostic efficiency of each model.Results The level of NSE in SCLC group was higher than that in NSCLC group,while the levels of CEA and CYFRA21-1 were lower than those in NSCLC group,with statistical significance(P<0.05).The values of D and ADC in SCLC group were lower than those in NSCLC group,and the differ-ence was statistically significant(P<0.05).There was no significant difference in f and D* values between groups(P>0.05).The AUC of NSE,CEA,CYFRA21-1,ADC value and D value single models identifying SCLC and NSCLC were 0.668,0.658,0.634,0.722,0.747and there was no significant difference among the models(P>0.05).TheAUC of the three combined models was higher than that of the single index prediction model,and the combined model of serum tumor markers+ADC+D has the highest diagnostic efficiency(AUC=0.860).Conclusion Serum tumor markers combined with IVIM-DWI parameters can improve the differential efficacy of SCLC and NSCLC.

Small cell lung cancernon-Small cell lung cancerIntravoxel incoherent motion-diffusion weighted ima-gingTumor markersDifferential

尹猛、吕四强、王唯伟、秦文恒、孙占国

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272013 济宁医学院临床医学院

272029 济宁医学院附属医院医学影像科

小细胞肺癌 非小细胞肺癌 体素内不相干运动扩散加权成像 肿瘤标志物 鉴别

山东省医药卫生科技发展计划项目基金资助项目

202009011151

2024

临床放射学杂志
黄石市医学科技情报所

临床放射学杂志

CSTPCD北大核心
影响因子:0.872
ISSN:1001-9324
年,卷(期):2024.43(8)
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