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Chinese Journal of Interventional Radiology(Electronic Edition) ›› 2021, Vol. 09 ›› Issue (03): 326-330. doi: 10.3877/cma.j.issn.2095-5782.2021.03.015

• Imaging Diagnose • Previous Articles     Next Articles

Analysis of risk factors and construction of nomogram prediction model for ground glass nodules diagnosed pulmonary invasive adenocarcinoma

Ruixue Huang1,(), Qiurong Chen1, Yutong Lin1, Yuxin Huang1   

  1. 1. Department of Imaging, Puning People's Hospital, Guangdong Puning 515300, China
  • Received:2021-01-24 Online:2021-08-25 Published:2021-09-27
  • Contact: Ruixue Huang

Abstract:

Objective

To explore the risk factors of ground glass nodules (GGN) diagnosed pulmonary invasive adenocarcinoma and establish the nomogram model.

Methods

This study included GGN patients who were treated in our hospital from January 1, 2017 to December 31, 2019. The baseline and clinical data of each patient were collected. Logistic regression was used to analyze the independent risk factors of GGN diagnosed lung invasive adenocarcinoma. According to the results of the regression model, nomogram and the receiver operating characteristic curve (ROC) were drawn.

Results

The incidence of GGN diagnosed lung adenocarcinoma in this study was 60.73%. Smoking history, maximum lesion diameter, CT value and vacuole sign were independent risk factors to distinguish preinvasive lesions from invasive adenocarcinoma. Based on the screened independent risk factors, a predictive line chart model was established. The results of the line chart ROC curve showed that the best critical point for predicting the risk value of invasive adenocarcinoma was 0.521 4, the area under the curve (AUC) was 0.784, and the sensitivity and specificity were 72.31% and 83.64%, respectively.

Conclusions

Smoking history, maximum diameter of focus, CT value and vacuole sign are independent risk factors to distinguish preinvasive lesions from invasive adenocarcinoma. The comprehensive evaluation of smoking history, maximum diameter, CT value and vacuole sign is of high clinical value in the diagnosis of pulmonary invasive adenocarcinoma and is worth further popularizing.

Key words: Ground glass nodules, Invasive adenocarcinoma of the lung, Risk factors, Nomogram

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