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:: Volume 23, Issue 2 (5-2025) ::
Int J Radiat Res 2025, 23(2): 441-446 Back to browse issues page
Complications of CT-guided pulmonary nodule biopsy, Post-TNAB (Transthoracic needle aspiration biopsy) under CT Guidance
X. Wu , H. Wan , M. Cheng , J. Bai
Department of Respiratory Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui230032, China , medicalpaper203@gmail.com
Abstract:   (215 Views)
Background: To investigate the independent risk factors of pneumothorax after CT-guided pulmonary puncture, and to construct a nomogram model to predict the occurrence of pneumothorax. Materials and Methods The relevant factors of 257 patients with pulmonary nodule puncture in the lung tumor ward of a tertiary hospital from 2021 to 2023 were collected, and the logistic regression analysis method of backward elimination was used to obtain independent predictors. Finally, the multivariate logistic regression results were used. By drawing forest charts, exploreing independent risk factors for pulmonary puncture complicated by pneumothorax, risk prediction models were established and general nomograms and develop more intuitive multivariate dynamic nomograms were constructed to evaluate the model by calculating the AUC value of the area under the curve through the ROC curve performance; and to use Bootstrap's internal resampling method to perform internal validation of the model. Results Multivariate logistic regression analysis showed that lung nodule size (every 1 mm increase) (OR=0.82), education (OR=2.73) and age (OR=1.08) were independent risk factors for pneumothorax after lung puncture. Conclusion The nomogram constructed in this study can effectively predict the occurrence of postoperative pneumothorax in patients undergoing CT-guided pulmonary puncture. The model has a good degree of discrimination and consistency, and clinical medical staff can accurately and quickly predict the nomogram through pulmonary puncture complicated with pneumothorax, quickly identify patients with high risk of pulmonary puncture complicated with pneumothorax, and provide a reference for the development of targeted intervention measures.
Keywords: Lung puncture, pneumothorax, risk prediction model, forest plot, nomogram.
Full-Text [PDF 745 kb]   (104 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
References
1. Chen D, Yang L, Zhang W, et al. (2024) Prevalence and management of pulmonary nodules: a systematic review and meta-analysis. Journal of Thoracic Disease, 16(7): 4619. [DOI:10.21037/jtd-24-874]
2. Mazzone PJ and Lam L (2022) Evaluating the patient with a pulmonary nodule: a review. JAMA, 327(3): 264-73. [DOI:10.1001/jama.2021.24287]
3. Zhao Y, Zhang N, Yang L, et al. (2021) Application of CT-guided percutaneous pulmonary biopsy in pulmonary space-occupying lesions. International Respiratory Journal, 41(5): 367-71.
4. Topal U and Ediz B (2003) Transthoracic needle biopsy: factors effecting risk of pneumothorax. European Journal of Radiology, 48(3): 263-7. [DOI:10.1016/S0720-048X(03)00058-5]
5. Xiao R, Shao Q, Zhao N, et al. (2021) Quantification analysis of pleural line movement for the diagnosis of pneumothorax. World Journal of Clinical Cases, 9(21): 5889-99. [DOI:10.12998/wjcc.v9.i21.5889]
6. Chen D, Yang L, Zhang W, et al. (2024) Prevalence and management of pulmonary nodules: a systematic review and meta-analysis. Journal of Thoracic Disease, 16(7): 4619. [DOI:10.21037/jtd-24-874]
7. Mazzone PJ and Lam L (2022) Evaluating the patient with a pulmonary nodule: a review. JAMA, 327(3): 264-73. [DOI:10.1001/jama.2021.24287]
8. Zhao Y, Zhang N, Yang L, et al. (2021) Application of CT-guided percutaneous pulmonary biopsy in pulmonary space-occupying lesions. International Respiratory Journal, 41(5): 367-71.
9. Topal U and Ediz B (2003) Transthoracic needle biopsy: factors effecting risk of pneumothorax. European Journal of Radiology, 48(3): 263-7. [DOI:10.1016/S0720-048X(03)00058-5]
10. Xiao R, Shao Q, Zhao N, et al. (2021) Quantification analysis of pleural line movement for the diagnosis of pneumothorax. World Journal of Clinical Cases, 9(21): 5889-99. [DOI:10.12998/wjcc.v9.i21.5889]
11. Lamfichekh Y, Lafay V, Hamam J, et al. (2023) Score to predict the occurrence of pneumothorax after computed tomography-guided percutaneous transthoracic lung biopsy. Journal of Thoracic Imaging, 38(5): 315-24. [DOI:10.1097/RTI.0000000000000729]
12. Rong E, Hirschl DA, Zalta B, et al. (2021) A retrospective multi-site academic center analysis of pneumothorax and associated risk factors after CT-guided percutaneous lung biopsy. Lung, 199: 299-305. [DOI:10.1007/s00408-021-00445-7]
13. Maalouf N, Lavric D, Vasileva L, et al. (2022) Associations between Covariates and Pneumothorax Observations in CT-Guided Lung Biopsies. Journal of Clinical Medicine, 11(7): 1958. [DOI:10.3390/jcm11071958]
14. Li Y, Li H, Guo C, et al. (2021) The coaxial biopsy technique and analysis of complications for small lung nodules (≤20mm) under CT guidance. Clinical Pulmonary Journal, 26(6): 905-8.
15. Zhang J, An J, Jing X, et al. (2024) Assessing risk factors for complications in computer tomography-guided lung biopsy: quantitative analysis for predicting pneumothorax. Annals of Saudi Medicine, 44(4): 228-33.
16. Huang YS, Chen JL, Ko WC, et al. (2024) Clinical variables and radiomics features for predicting pneumothorax in patients undergoing CT-guided transthoracic core needle biopsy. Radiology: Cardiothoracic Imaging, 6(3): e230278. [DOI:10.1148/ryct.230278]
17. Weon J, Robson S, Chan R, et al. (2021) Development of a risk prediction model of pneumothorax in percutaneous computed tomography guided transthoracic needle lung biopsy. Journal of Medical Imaging and Radiation Oncology, 65(6): 686-93. [DOI:10.1111/1754-9485.13187]
18. Kolu I and Yildirim IO (2020) Evaluation of risk factors in pneumothorax development in computer tomography-guided transthoracic biopsy and management of complications. Nigerian Journal of Practice, 23(2): 246-51. [DOI:10.4103/njcp.njcp_541_18]
19. Yang BR, Kim MS, Park CM, et al. (2020) Patterns of percutaneous transthoracic needle biopsy (PTNB) of the lung and risk of PTNB-related severe pneumothorax: A nationwide population-based study. Plos one, 15(7): e0235599. [DOI:10.1371/journal.pone.0235599]
20. Herout V, Heroutova MM, et al. (2019) Transbronchial biopsy from the upper pulmonary lobes is associated with increased risk of pneumothorax-a retrospective study. BMC Pulmonary Medicine, 19: 1-6. [DOI:10.1186/s12890-019-0820-z]
21. Sargent T, Kolderman N, Nair GB, et al. (2022) Risk factors for pneumothorax development following CT-guided core lung nodule biopsy. Journal of Bronchology & Interventional Pulmonology, 29(3): 198-205. [DOI:10.1097/LBR.0000000000000816]
22. Li C, Wang D, Yang F, et al. (2021) The role of clinical characteristics and pulmonary function testing in predicting risk of pneumothorax by CT-guided percutaneous core needle biopsy of the lung. BMC Pulmonary Medicine, 21: 1. [DOI:10.1186/s12890-021-01625-0]
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Wu X, Wan H, Cheng M, Bai J. Complications of CT-guided pulmonary nodule biopsy, Post-TNAB (Transthoracic needle aspiration biopsy) under CT Guidance. Int J Radiat Res 2025; 23 (2) :441-446
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Volume 23, Issue 2 (5-2025) Back to browse issues page
International Journal of Radiation Research
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