학술논문

Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection.
Document Type
Article
Source
Clinical Respiratory Journal. May2022, Vol. 16 Issue 5, p361-368. 8p.
Subject
*SOLITARY pulmonary nodule
*PULMONARY nodules
*LUNG diseases
*CONTINGENCY tables
*LOGISTIC regression analysis
*MULTIVARIATE analysis
*UNIVARIATE analysis
Language
ISSN
1752-6981
Abstract
Background: The management of a solitary pulmonary nodule is a challenging issue in pulmonary disease. Although many factors have been defined as predictors for malignancy in solitary pulmonary nodules, the accurate diagnosis can only be established with the permanent histological diagnosis. Objective: We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis. Methods: We made a retrospective study to collect the data of patients with solitary pulmonary nodules who had histological diagnosis either before or after surgery. We made a statistical analysis of both the clinic and radiological features of these nodules with respect to malignancy both in contingency tables and with logistic regression analysis. Results: We had a total of 223 patients with a radiological diagnosis of solitary pulmonary nodule. Age, smoking status and pack years of smoking, maximum standardized uptake value (SUVmax), and radiological features such as solid component, spiculation, pleural tag, lobulation, calcification, and higher density were significant predictors of malignancy in contingency tables. Age, smoking status and smoking (pack/year), SUVmax, and radiological features including spiculation, pleural tag, lobulation, calcification, and higher density were the significant predictors in univariate analysis. However, multivariate analysis revealed only SUVmax greater than 2.5 (p < 0.0001), spiculation (p = 0.009), and age older than 61 years (p = 0.015) as the significant predictors for malignancy. Conclusion: Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules. [ABSTRACT FROM AUTHOR]