Abstract: ob＜x＞jective To explore the role of quantitative HRCT parameters in identifying invasive adenocarcinoma (IAC) from microinvasive adenocarcinoma (MIA) and pre-invasive lesions (PIL) in the form of lung ground glass nodules (SSNs)。Methods Reviewing the peripheral lung adenocarcinoma confirmed by SSNs from June 2017 to June 2021, including 116 SSNs removed in 116 patients: 56 pure hairy glass nodules, 5mm in 60partial solid nodules, divided into two groups: PIL / MIA: atypical adenoma hyperplasia (AAH) (=6), adenocarcinoma in situ (AIS) (=11) and MIA (=48), and group IAC, including 51 cases.Univariate and binary logistic regression analyses were used to identify independent risk factors for IAC。 Results Univariate analysis showed that SSNs nature, CT mean, CT D-value, mass, volume, CT maximum, 3D diameter difference (all P <0.001).Binary ligistic regression and subject working feature analysis showed that SSNs mass, CT D-value,were all independent risk factors for IAC, the threshold for CT difference diagnostic IAC was 420.825HU, and 513.893mg for quality diagnostic IAC.The AUC value of combined CT difference and quality diagnosis IAC were 0.944, sensitivity of 90.2%, specificity of 89.2%.