<b>CT-Guided Lung Biopsy</b> Interactions

Evaluation of lesion size, depth, and their interaction as predictors of pneumothorax and hemorrhage after CT-guided lung biopsy, identifying risk thresholds and comparing logistic regression with machine learning models for pre-procedural complication risk stratification.

本研究以病灶大小、病灶深度及其交互作用作为CT引导下肺活检（CT-guided lung biopsy）术后气胸（pneumothorax）与出血（hemorrhage）的预测因子展开评估，明确相关风险阈值，并对比逻辑回归（logistic regression）与机器学习模型在操作前并发症风险分层中的应用效果。