Oncotarget

Research Papers:

Assessment of the cancer risk factors of solitary pulmonary nodules

Li Yang, Qiao Zhang, Li Bai, Ting-Yuan Li, Chuang He, Qian-Li Ma, Liangshan Li, Xue-Quan Huang and Gui-Sheng Qian _

PDF  |  HTML  |  Supplementary Files  |  How to cite  |  Order a Reprint

Oncotarget. 2017; 8:29318-29327. https://doi.org/10.18632/oncotarget.16426

Metrics: PDF 1141 views  |   HTML 1579 views  |   ?  


Abstract

Li Yang1,*, Qiao Zhang2,*, Li Bai2, Ting-Yuan Li1, Chuang He1, Qian-Li Ma2, Liang-Shan Li1, Xue-Quan Huang1, Gui-Sheng Qian2

1Interventional Radiology Department, the First Hospital of the Third Military Medical University, Chongqing 400038, China

2Institute of Respiratory Diseases, the Second Hospital of the Third Military Medical University, Chongqing 400038, China

*These authors are contributed equally to these work

Correspondence to:

Gui-Sheng Qian, email: qiangs1220@163.com

Keywords: solitary, pulmonary nodule, malignancy, risk factor, model

Received: October 15, 2016     Accepted: January 16, 2017     Published: March 21, 2017

ABSTRACT

There are no large samples or exact prediction models for assessing the cancer risk factors of solitary pulmonary nodules (SPNs) in the Chinese population. We retrospectively analyzed the clinical and imaging data of patients with SPNs who underwent computer tomography guided needle biopsy in our hospital from Jan 1st of 2011 to March 30th of 2016. These patients were divided into a development data set and a validation data set. These groups included 1078 and 344 patients, respectively. A prediction model was developed from the development data set and was validated with the validation data set using logistic regression. The predictors of cancer in our model included female gender, age, pack-years of smoking, a previous history of malignancy, nodule size, lobulated and spiculated edges, lobulation alone and spiculation alone. The Area Under the Curves, sensitivity and specificity of our model in the development and validation data sets were significantly higher than those of the Mayo model and VA model (p < 0.001). We established the largest sampling risk prediction model of SPNs in a Chinese cohort. This model is particularly applicable to SPNs > 8 mm in size. SPNs in female patients, as well as SPNs featuring a combination of lobulated and spiculated edges or lobulated edges alone, should be evaluated carefully due to the probability that they are malignant.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 16426