@article{JTD5587,
author = {Man Zhang and Na Zhuo and Zhanlin Guo and Xingguang Zhang and Wenhua Liang and Sheng Zhao and Jianxing He},
title = {Establishment of a mathematic model for predicting malignancy in solitary pulmonary nodules},
journal = {Journal of Thoracic Disease},
volume = {7},
number = {10},
year = {2015},
keywords = {},
abstract = {Background: The aim of this study was to establish a model for predicting the probability of malignancy in solitary pulmonary nodules (SPNs) and provide guidance for the diagnosis and follow-up intervention of SPNs.
Methods: We retrospectively analyzed the clinical data and computed tomography (CT) images of 294 patients with a clear pathological diagnosis of SPN. Multivariate logistic regression analysis was used to screen independent predictors of the probability of malignancy in the SPN and to establish a model for predicting malignancy in SPNs. Then, another 120 SPN patients who did not participate in the model establishment were chosen as group B and used to verify the accuracy of the prediction model.
Results: Multivariate logistic regression analysis showed that there were significant differences in age, smoking history, maximum diameter of nodules, spiculation, clear borders, and Cyfra21-1 levels between subgroups with benign and malignant SPNs (P},
issn = {2077-6624}, url = {https://jtd.amegroups.org/article/view/5587}
}