Author:
Zhang Hua,Qian Xia,Liu Zheng-Hua,Gong Yi
Abstract
Abstract
Background
The present study aimed to assess the value of bronchial and cavity contraction percentages in differentiating benign and malignant pulmonary cavities.
Methods
Forty-two patients with pulmonary cavities were scanned by dual-phase computed tomography (CT). Then, the cavity and bronchial contraction percentages were respectively measured, the differences between the benign and malignant cavities were compared, and the best diagnostic critical point for differentiating benign and malignant cavities was obtained through the receiver operator characteristic (ROC) curve of the diagnostic test.
Results
The contraction percentage of the bronchial end with benign cavities was significantly higher than that of the bronchial end with malignant cavities (P < 0.001). The contraction percentage was significantly higher in the benign group than in the malignant group (P < 0.001). The ROC analysis revealed that the sensitivity and specificity of the bronchial contraction percentage was 90.50 and 86.40%, respectively, while the sensitivity and specificity of the cavity contraction percentage was 90.50 and 90.90%, respectively.
Conclusion
The dual-phase CT scanning of the bronchial and cavity contraction percentage can distinguish between benign and malignant cavities.
Publisher
Springer Science and Business Media LLC
Subject
Pulmonary and Respiratory Medicine
Reference19 articles.
1. Tomizawa K, Shimizu S, Ohara S, Fujino T, Nishino M, Sesumi Y, et al. Clinical significance of tumor cavitation in surgically resected early-stage primary lung cancer. Lung Cancer. 2017;112:57–61.
2. Gadkowski LB, Stout JE. Cavitary pulmonary disease. Clin Microbiol Rev. 2008;21:305–33.
3. Takeuchi K, Hayakawa N, Oouchi M. Lung Cancer with multiple cavitation and ground glass opacity;report of a case. Kyobu Geka. 2017;70:477–9.
4. Zhao J, Zheng BX, Guo QL. Spiral CT in diagnosis and classification of pulmonary tuberculosis. Chin J Med Imaging Technol. 2006;22:741–4.
5. Mortensen KH, Babar JL, Balan A. Multidetector CT of pulmonary cavitation: filling in the holes. Clin Radiol. 2015;70:446–56.