Exploration of CT imaging features of cystic pulmonary nodules and establishment of a prediction model for benign and malignant pulmonary nodules
- VernacularTitle:囊腔型肺结节CT影像学特征探究及良恶性预测模型的建立
- Author:
Yi YAO
1
,
2
;
Qiuxia HU
1
,
2
;
Yanhui YANG
1
,
2
;
Xiaoyang XIE
1
,
2
;
Yi WANG
1
,
2
;
Xiaoliang LI
1
,
2
;
Lei LUO
1
,
2
;
Ji LI
1
,
2
Author Information
1. Department of Thoracic Surgery, The First People'
2. s Hospital of Neijiang, Neijiang Hospital Affiliated to Chongqing Medical University, Neijiang, 641000, Sichuan, P. R. China
- Publication Type:Journal Article
- Keywords:
Cystic lung cancer;
benign and malignant diagnosis;
prediction model;
imaging features
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2024;31(02):249-254
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People's Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.
