MSCT Signs Of Solitary Pulmonary Nodules Multivariate Regression Analysis Of The Value Of The Differential Diagnosis Of Benign And Malignant Pulmonary Nodules

ObjectiveThrough the study of various image features of solitary pulmonary nodules,and using regression analysis method, the solitary pulmonary nodule in thedifferential diagnosis of benign and malignant, and draw the correspondingconclusions, in order to improve the CT inspection method in differentialdiagnosis of benign and malignant lung nodules, and thus to provide morereliable basis for the clinical treatment.MethodsRetrospective method analysis clinical and CT data of188cases solitarypulmonary nodules confirmed by pathological. The collection of the clinicaldata and analyze the imaging signs of pulmonary nodules, reliability wereanalyzed combined with clinical and imaging data to determine the differentdiagnostic imaging method features of benign and malignant nodules. Imagingfeatures including nodule size, location, lobulation, spiculation, vascularconvergence sign, pleural indentation, calcification and vacuole sign.Malignant and benign results as the dependent variable, imaging signs asvariables. All data undergo multiple factors regression analysis. The riskfactors of malignant nodules are calculated from these variables, establishestimation model. And then through the model equations a single probabilityvalue of the SPN. And compare the actual diagnosis and clinical results. Further describe the ROC curve, and ultimately determine the logisticregression analysis in the diagnosis of benign and malignant SPN value.ResultsThrough the statistics of188cases of solitary pulmonary nodules,malignant nodules were106cases, including63cases of adenocarcinoma,20cases of small cell carcinoma,16cases of squamous cell carcinoma,5casesof large cell carcinoma,3patients with bronchial carcinoma; benign noduleswere82cases, including38cases of tuberculoma,35cases of inflammatorylesions,7cases hamartoma,2cases of hemangioma. The upper lobe of leftlung in7cases, left lower lobe in56cases, the upper lobe of the right lung in6cases, middle lobe of the right lung in26cases, inferior lobe of right lung in93cases.Study of CT signs and statistics in this article are: malignant noduleslobulation69.8%, spiculation60.4%, vascular convergence sign74.5%,pleural indentation67.0%, calcification8.5%and vacuole sign25.5%. benignnodules lobulation20.7%, spiculation23.2%, vascular convergence sign13.4%, pleural indentation17.1%, calcification39.0%and vacuole sign7.3%.Benign nodules with smooth edge, long thorn experienced a higher rate,lobulation in the group of benign and malignant nodules, the differences arestatistically significant (P<0.05). In addition, the clinical symptoms of thepatients, age and location of disease also have important reference for thediagnosis and differential diagnosis of solitary pulmonary nodules.ConclusionsCT findings of solitary pulmonary nodule analysis of the differentialdiagnosis of malignant and benign have some reference value. The lobulation,spiculation, vascular convergence sign, pleural indentation, vacuole signsuggesting more likely malignant. Calcification prompt benign nodules. Theuse of statistical regression analysis to calculate the OR value and95% confidence interval and draw the ROC curve, can clear the value of clinicalsignificance, provide reliable basis for clinical eventually make a precisediagnosis.