AUTHOR=Zhang Yifan , Qu Lin , Zhang Haihua , Wang Ying , Gao Guizhou , Wang Xiaodong , Zhang Tao 

TITLE=Construction of a predictive model of 2–3 cm ground-glass nodules developing into invasive lung adenocarcinoma using high-resolution CT

JOURNAL=Frontiers in Medicine

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2024.1403020

DOI=10.3389/fmed.2024.1403020

ISSN=2296-858X

ABSTRACT=Background: The purpose of this study was to analyze the imaging risk factors of 2-3cm ground-glass nodules (GGN) to invasive adenocarcinoma of the lung, and to establish a nomogram prediction model to provide a reference for the pathological prediction of 2-3cm GGN and the selection of surgical procedures. 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  , 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.