CT双能量成像参数对肺结节病变性质的鉴别价值研究OA北大核心CSTPCD

Objective:To investigate the clinical value of dual-energy CT imaging parameters in differentiating the patho-logical properties of pulmonary nodules.Methods:From December 2021 to January 2023,102 patients with malignant pul-monary nodules in the Second People's Hospital of Hefei were treated as malignant group,and 106 patients with benign pul-monary nodules in the same hospital were treated as benign group.All patients were diagnosed by pathological examination.The morphological characteristics of dual-energy CT imaging of the two groups were analyzed by both t-test and multivariate regression analysis.Receiver operating characteristic(ROC)curve was used to analyze the differential value of dual-energy CT imaging parameters for the properties of pulmonary nodules.Results:The proportion of patients with uneven enhancement,lymph node enlargement,burr/lobule and vascular involvement in the malignant group was higher than that in the benign group(P<0.05).The slope of energy spectrum curve and volume CT dose index of arterial and venous phases in the malignant group were higher than those in the benign group(P<0.05).Multivariate Logistic regression analysis showed that the higher slope of energy spectrum curve and volume CT dose index in arterial and venous phases were the risk factors for malignant lesions of pulmonary nodules(OR=1.451,1.502,1.640,P<0.05).The area under the curve(AUC)value of energy spectrum curve slope and volumetric CT dose index combined with the characteristics of pulmonary nodules in arterial and venous phases was higher than that of the three tests alone(P<0.05).Conclusion:There were obvious differences in imaging morpho-logical characteristics,arterial phase and venous phase energy spectrum curve slope and volume CT dose index between pa-tients with benign lung nodules and patients with malignant lung nodules,and the arterial phase and venous phase energy spectrum curve slope and volume CT dose index were risk factors for malignant lung nodules,and the combination of the three was of good value in differentiating the nature of lung nodules.