Based on high-resolution CT, a predictive model for the development of infiltrative stage of 2-3cm pulmonary ground-glass nodules was constructed

Abstract

Abstract Background: The purpose of this study was to analyze the imaging risk factors for the development of 2-3cm ground glass nodules (GGN) in the infiltrative stage, and to establish a nomogram prediction model for the pathological prediction of 2-3cm GGN. Methods: We reviewed the demographic, imaging, and pathological information of 596 adult patients who underwent 2-3cmGGN resection between 2018 and 2022 in the Department of Thoracic Surgery, Second Affiliated Hospital of the Air Force Medical University. based on single factor analysis, regression method was used to analyze multiple factors, and a nomogram prediction model for 2-3cmGGN was established. Results: 1. The risk factors for the development of 2-3cm GGN during the invasion stage were pleural depression sign (OR=1.687 95%CI 1.010-2.820), vacuole (OR=2.334 95%CI 1.222-4.460), burr sign (OR=2.617 95%CI 1.008-6.795), lobulated sign (OR=3.006 95%CI 1.098-8.227), bronchial sign (OR=3.134 95%CI 1.556-6.310) , diameter of GGN(OR=3.118 95%CI 1.151-8.445) , CTR (OR=172.517 95%CI 48.023-619.745). 2. The 2-3cmGGN risk prediction model was constructed according to the risk factors, with an AUC of 0.839; the calibration curve Y was close to the X-line; and the decision curve was drawn in the range of 0.0-1.0. Conclusion: 1. The risk factors for the development of 2-3cm GGN during the invasion stage were pleural depression sign, vacuole, burr sign, lobulated sign, bronchial sign, diameter of GGN and CTR, the predictive model based on the above factors has some clinical significance.