Department of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China.
Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China.
Int J Hyperthermia. 2021;38(1):488-497. doi: 10.1080/02656736.2021.1902000.
To develop effective nomograms for predicting pneumothorax and delayed pneumothorax after microwave ablation (MWA) in lung malignancy (LM) patients.
LM patients treated with MWA were randomly allocated to a training or validation cohort at a ratio of 7:3. The predictors of pneumothorax identified by univariate and multivariate analyses in the training cohort were used to develop a predictive nomogram. The -statistic was used to evaluate predictive accuracy in both cohorts. A second nomogram for predicting delayed pneumothorax was developed and validated using identical methods.
A total of 552 patients (training cohort: = 402; validation cohort: = 150) were included; of these patients, 27.9% (154/552) developed pneumothorax, with immediate and delayed pneumothorax occurring in 18.8% (104/552) and 9.1% (50/552), respectively. The predictors selected for the nomogram of pneumothorax were emphysema (hazard ratio [HR], 6.543; < .001), history of lung ablation (HR, 7.841; = .025), number of pleural punctures (HR, 1.416; < .050), ablation zone encompassing pleura (HR, 10.225; < .001) and pulmonary fissure traversed by needle (HR, 10.776; < .001). The -statistics showed good predictive performance in the training and validation cohorts (0.792 and 0.832, respectively). Another nomogram for delayed pneumothorax was developed based on emphysema (HR, 2.952; = .005), ablation zone encompassing pleura (HR, 4.915; < .001) and pulmonary fissure traversed by needle (HR, 4.348; = .015). The -statistics showed good predictive performance in the training cohort, and it had efficacy for prediction in the validation cohort (0.719 and 0.689, respectively).
The nomograms could effectively predict the risk of pneumothorax and delayed pneumothorax after MWA.
为肺恶性肿瘤(LM)患者的微波消融(MWA)后气胸和迟发性气胸开发有效的列线图预测模型。
接受 MWA 治疗的 LM 患者按 7:3 的比例随机分配到训练或验证队列中。通过单变量和多变量分析在训练队列中确定的气胸预测因子用于开发预测列线图。使用 - 统计量评估两个队列的预测准确性。使用相同的方法开发和验证了第二个预测迟发性气胸的列线图。
共纳入 552 例患者(训练队列:n=402;验证队列:n=150);其中 27.9%(154/552)发生气胸,即时性和迟发性气胸分别为 18.8%(104/552)和 9.1%(50/552)。用于气胸列线图的预测因子包括肺气肿(危险比 [HR],6.543;<0.001)、肺消融史(HR,7.841;=0.025)、胸膜穿刺次数(HR,1.416;<0.050)、消融区域累及胸膜(HR,10.225;<0.001)和穿过肺裂的针(HR,10.776;<0.001)。训练和验证队列中的 - 统计量显示出良好的预测性能(分别为 0.792 和 0.832)。另一个基于肺气肿(HR,2.952;=0.005)、消融区域累及胸膜(HR,4.915;<0.001)和穿过肺裂的针(HR,4.348;=0.015)的迟发性气胸列线图也被开发出来。训练队列中 - 统计量显示出良好的预测性能,在验证队列中也具有预测效能(分别为 0.719 和 0.689)。
列线图可以有效地预测 MWA 后气胸和迟发性气胸的风险。