Literature DB >> 29268546

Logistic regression analysis and a risk prediction model of pneumothorax after CT-guided needle biopsy.

Yanfeng Zhao1, Xiaoyi Wang1, Yong Wang2, Zheng Zhu1.   

Abstract

BACKGROUND: Pneumothorax is the most common complication of computed tomography (CT)-guided needle biopsy. The purpose of this study was to investigate independent risk factors of pneumothorax, other than emphysema, after CT-guided needle biopsy and to establish a risk prediction model.
METHODS: A total of 864 cases of CT-guided needle biopsy with an 18-gauge cutting needle were enrolled in this study. The relevant risk factors associated with pneumothorax included age, sex, emphysema, short-axis size of the lesion, depth of the lesion, body position, and the number of pleural punctures. Several independent risk factors of pneumothorax were found, and a predictive model for pneumothorax was established using univariate and multivariate logistic regression analyses.
RESULTS: Pneumothorax occurred in 31.4% (271/864) of cases. Univariate analysis showed that significant risk factors of pneumothorax included age, emphysema, small lesion size, no contact between the lesion and the pleura, prone or lateral body position, and multiple punctures. Independent risk factors of pneumothorax in the multivariate logistic regression analysis included emphysema (P=0.000), no contact between the lesion and the pleura (P=0.000), prone or lateral body position (P=0.002), and the number of pleural punctures (P=0.000). The sensitivity, specificity, and accuracy of the predictive model for pneumothorax were 56.8%, 79.6%, and 72.5%, respectively.
CONCLUSIONS: Pneumothorax is a common complication of CT-guided lung biopsy. Independent risk factors of pneumothorax include emphysema, no contact between the lesion and the pleura, and prone or lateral body position. The predictive model developed in this study was highly accurate in predicting the incidence of pneumothorax.

Entities:  

Keywords:  CT-guided needle biopsy; Computed tomography; multivariate logistic regression analysis; pneumothorax; risk factor

Year:  2017        PMID: 29268546      PMCID: PMC5721042          DOI: 10.21037/jtd.2017.09.47

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  40 in total

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9.  Factors affecting diagnostic accuracy of CT-guided coaxial cutting needle lung biopsy: retrospective analysis of 631 procedures.

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2.  Development and Validation of a Prediction Pneumothorax Model in CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodule.

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Journal:  Biomed Res Int       Date:  2019-05-05       Impact factor: 3.411

3.  Development and Validation of a Random Forest Risk Prediction Pneumothorax Model in Percutaneous Transthoracic Needle Biopsy.

Authors:  Hong Lin Wu; Gao Wu Yan; Li Cheng Lei; Yong Du; Xiang Ke Niu; Tao Peng
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