首页|LDCT+外周血TK1对肺结节定性价值及诊断模型的构建与检验

LDCT+外周血TK1对肺结节定性价值及诊断模型的构建与检验

Construction and Testing of the Qualitative Value and Diagnostic model of LDCT+Peripheral Blood TK1 for Pulmonary Nodules

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目的 探讨低剂量CT(LDCT)+外周血胸苷激酶1(TK1)对肺结节的定性价值,构建恶性肺结节诊断模型,并对其进行检验.方法 选取2020年2月~2023年1月我院收治的244例肺结节患者,均行肺部LDCT和常规剂量CT扫描,比较LDCT与常规剂量CT图像质量、辐射剂量、影像学特征.按照病理诊断结果分为恶性组(n=105)、良性组(n=139),比较两组LDCT检查结果、外周血TK1,Logistic回归分析恶性肺结节的影响因素,采用R语言构建列线图诊断模型,并给予评价与验证.结果 LDCT膈顶上缘层面、支气管分叉层面、主动脉弓上缘层面图像噪声值高于常规剂量CT,辐射剂量ED、DLP、CTDIvol低于常规剂量CT(P<0.05);恶性组胸膜凹陷征、支气管征、血管征、分叶征、毛刺征、形态不规则患者占比高于良性组,外周血TK1水平高于良性组(P<0.05);Logistic回归分析显示,胸膜凹陷征、支气管征、血管征、分叶征、毛刺征、形态不规则、TK1与恶性肺结节相关(P<0.05);用R语言绘制恶性肺结节的诊断模型,C-index为0.907,ROC分析显示,所构建的诊断模型高于任一单独变量,提示该诊断模型具有良好的预测能力;校准曲线分析显示,所构建的诊断模型与实际观测结果有较好的一致性.结论 肺结节局部LDCT特征(胸膜凹陷征、支气管征、血管征、分叶征、毛刺征、形态不规则)、TK1与恶性肺结节密切相关,基于以上因素构建恶性肺结节的诊断模型具有良好的预测效能和可信度,可为临床筛查恶性肺结节提供参考.
Objective To investigate the qualitative value of low-dose CT(LDCT)+peripheral blood thymidine kinase 1(TK1)on pulmonary nodules,and to construct a diagnostic model of malignant pulmonary nodules and test it.Methods Two hundred and forty-four patients with pulmonary nodules admitted to our hospital from February 2020 to January 2023 were selected,and both LDCT and conventional-dose CT scans of the lungs were performed to compare the image quality,radiation dose,and imaging characteristics of LDCT and conventional-dose CT.The patients were divided into malignant group(n=105)and benign group(n=139)according to the pathological diagnosis,and the LDCT examination results and peripheral blood TK1 were compared between the two groups,and the influencing factors of malignant pulmonary nodules were analyzed by logistic regression,and the column line graph diagnostic model was constructed using R language and evaluated and validated.ResultsThe image noise values at the level of the superior edge of the diaphragm,the level of the bronchial bifurcation,and the level of the superior edge of the aortic arch at LDCT were higher than those at conventional dose CT,and the radiation dose ED,DLP,and CTDIvol were lower than those at conventional dose CT(P<0.05);the proportion of patients with pleural depression sign,bronchial sign,vascular sign,lobar sign,burr sign,and irregular morphology was higher in the malignant group than in the benign group,and the peripheral blood TK1 level was higher than that in the benign group(P<0.05).Logistic regression analysis showed that pleural depression sign,bronchial sign,vascular sign,lobar sign,burr sign,morphological irregularity,and TK1 were associated with malignant pulmonary nodules(P<0.05);the diagnostic model of malignant pulmonary nodules was plotted in R language with a C-index of 0.907,and ROC analysis showed that the constructed diagnostic model was higher than any of the individual variables,suggesting that the diagnostic model has The calibration curve analysis showed that the constructed diagnostic model was in good agreement with the actual observation results.Conclusion Local LDCT features of pulmonary nodules(pleural depression sign,bronchial sign,vascular sign,lobar sign,burr sign,morphological irregularity)and TK1 are closely related to malignant pulmonary nodules,and the diagnostic model of malignant pulmonary nodules constructed based on the above factors has good predictive efficacy and reliability,which can provide reference for clinical screening of malignant pulmonary nodules.

LDCTPeripheral BloodTK1Pulmonary NodulesDiagnostic Model

王琦、李煜

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北京市鼓楼中医医院(北京 100009)

LDCT 外周血 TK1 肺结节 诊断模型

北京市卫生科技发展专项

2019-3-214

2024

中国CT和MRI杂志
北京大学深圳临床医学院 北京大学第一医院

中国CT和MRI杂志

CSTPCD
影响因子:1.578
ISSN:1672-5131
年,卷(期):2024.22(4)
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