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Application Value Of Energy Spectrum CT In Distinguishing Lung Adenocarcinoma Nodules And Inflammatory Nodules

Posted on:2022-10-26Degree:MasterType:Thesis
Country:ChinaCandidate:X L ShiFull Text:PDF
GTID:2504306566479144Subject:Medical imaging and nuclear medicine
Abstract/Summary:PDF Full Text Request
Objective To explore the application value of multiple parameters from energy spectrum CT imaging in the differentiation of lung adenocarcinoma nodules and inflammatory nodules.Methods 138 patients who underwent energy spectrum CT dual-phase enhanced scanning with lung nodules were enrolled in this study.Based on the pathological results of surgery or puncture and the absorption of some lesions,they were divided into adenocarcinoma group(79 cases)and inflammation Sex group(59 cases).Data post-processing of arterial phase and the venous phase was performed with spectral CT imaging parameters,including iodine concentration,standardized iodine concentration,energy spectrum curve slope,water content and effective atomic number.The t test is to compare the differences in parameters between the two groups of nodules and perform statistical analysis.The ROC curve is used to evaluate the diagnostic efficacy of meaningful energy spectrum parameters.Results The iodine concentration,standardized iodine concentration,and the slope of the energy spectrum curve in the arterial and venous phases of the arterial phase inflammatory nodules group were significantly different between the two groups(all P<0.05),and the inflammatory nodules group were higher than those of the adenocarcinoma group.The area under the ROC curve,sensitivity and specificity of iodine concentration in arterial nodules are the highest.Conclusion 1.Differential diagnosis efficiency of the arterial phase iodine concentration of the arterial phase nodules is the highest among all spectral CT parameters;2.Energy spectrum CT dual-phase enhanced scanning has certain value in improving the accuracy of diagnosis of lung adenocarcinoma nodules and inflammatory nodules.
Keywords/Search Tags:energy spectrum imaging, lung nodules, benign and malignant, differential diagnosis
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