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《Radiologic Practice》 2018-04
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CT features of pulmonary ground-glass opacity nodule are useful for predicting the invasion of pulmonary adenocarcinoma

ZHAO Jiao;LI Jian-hua;FEI Jia;Department of Radiology,the Affiliated Zhongshan Hospital of Dalian University;  
Objective:To explore CT features of ground glass opacity nodule(GGN)in predicting the invasion of pulmonary adenocarcinoma,and to provide essential imaging basis for preoperative evaluation and determining prognosis of GGN.Methods:A total of 176 cases with GGN lesions were divided into two groups according to histopathological types,69 cases of invasive adenocarcinoma(IA),107 cases of non-IA.The imaging features of these two groups were analyzed and compared.The variables that exhibited statistically significant differences were included in a binary logistic regression analysis.The optimal cutoff value for lesion size between non-IA and IA was calculated by using a receiver operating characteristic(ROC)curve.Results:(1) Most non-IA presented as pure-GGN(89.7%),IA presented largely as mixed-GGN(69.6%)on CT images.There were ststistically significant differences in lobulation,spiculation,pleural indentation and air bronchogram between the nonIA and IA(P 0.05).(2)IA had larger size [(1.61±0.59)cm]and higer CT attenuation[(-542.99±92.95)HU]than that of non-IA lesions [(1.01±0.29)cm in size;(-627.95±97.40)HU in CT attenuation;all P0.001];the relative CT value of IA was lower than that of nonIA(0.63±0.11 vs 0.72±0.10,P0.001).(3)The binary logistic regression analysis showed GGN lesion size and air bronchogram were significant factors of predicting the invasion of GGN.Conclusion:Accurate analysis of the CT image features of GGN could be useful for distinguish non-IA from IA,and may be helpful to determine strategies of follow-up or appropriate management for GGN.
【Fund】: 大连市科技局科技计划项目(2015E12SF120)
【CateGory Index】: R730.44;R734.2
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