Development and Validation of a Risk Scoring System to Predict Pneumothorax in CT-guided Percutaneous Transthoracic Needle Biopsy
Abstract
Wei Luo, Xinyi Peng, Lin cheng Luo, Hailong Wei, Qun Yi, Wei Luo
Objective: To develop and validate a risk scoring system using variables easily obtained for the prediction of pneumothorax in CT-guided percutaneous transthoracic needle biopsy (PTNB).
Methods: The derivation cohort was comprised of 1001 patients who underwent CT-guided PTNB. Multivariate logistic re- gression was used to identify risk factors for pneumothorax, which were treated as the foundation to develop the risk scoring system. To validate the system, a validation cohort group of 230 patients was enrolled.
Results: Age, puncture times, puncture depth, smoking index, number of specimens, bleeding from the needle path, and lobular lesion were identified as risk factors in the derivation cohort. A risk scoring system (Hosmer-Lemeshow goodness-of-fit test p =0.33) was developed. The area under the receiver operating characteristic curve (AUROC) was 0.601 by using the risk score system. This risk score system demonstrated a better diagnostic effect with increasing age. In the group of patients older than 80 years, the AUROC was 0.76, showing good predictive power. This risk scoring system was confirmed in the validation cohort with an AUROC of 0.736.
Conclusion: This scoring system has a good predictive effect in both derivation and validation cohort.