Development and Validation of a Prediction Pneumothorax Model in CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodule
Joint Authors
Wang, Saibin
Tu, Junwei
Chen, Wei
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Computed tomography-guided transthoracic needle biopsy (CT-TNB) is widely used in the diagnosis of solitary pulmonary nodule (SPN).
However, CT-TNB-induced pneumothorax occurs frequently.
This study aimed to establish a predictive model for pneumothorax following CT-TNB for SPN.
The prediction model was developed in a cohort that consisted of 311 patients with SPN who underwent CT-TNB.
An independent external validation cohort contained 227 consecutive patients.
The least absolute shrinkage and selection operator (Lasso) regression analysis was used for data dimension reduction and predictors selection.
Multivariable logistic regression was used to develop the predictive model, which was presented with a nomogram.
Area under the curve (AUC) was used to determine the discrimination of the proposed model.
The calibration was used to test the goodness-of-fit of the model, and decision curve analysis (DCA) was used for evaluating its clinical usefulness.
Five variables (age, diagnosis of nodule, puncture times, puncture distance, and puncture position) were filtered by Lasso regression.
AUC of the predictive model and the validation were 0.801 (95% CI, 0.738-0.865) and 0.738 (95% CI, 0.656-0.820), respectively.
The model was well-calibrated (P > 0.05), and DCA demonstrated its clinical usefulness.
Thus, this predictive model might facilitate the individualized preoperative prediction of pneumothorax in CT-TNB for SPN.
American Psychological Association (APA)
Wang, Saibin& Tu, Junwei& Chen, Wei. 2019. Development and Validation of a Prediction Pneumothorax Model in CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodule. BioMed Research International،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1127592
Modern Language Association (MLA)
Wang, Saibin…[et al.]. Development and Validation of a Prediction Pneumothorax Model in CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodule. BioMed Research International No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1127592
American Medical Association (AMA)
Wang, Saibin& Tu, Junwei& Chen, Wei. Development and Validation of a Prediction Pneumothorax Model in CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodule. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1127592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127592