Department of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Int J Hyperthermia. 2021;38(1):640-649. doi: 10.1080/02656736.2021.1914353.
To explore the outcomes of CT-guided percutaneous microwave ablation (MWA) in non-small cell lung cancer (NSCLC) patients, and then develop an effective nomogram to predict the survival.
NSCLC patients treated with MWA were randomly allocated to either the training cohort or the validation cohort (3:1). The primary outcome measurement was overall survival (OS), whose predictors were identified by univariate and multivariate analyses in the training cohort. Then, a predictive nomogram was developed to predict the OS, with the predictive accuracy evaluated by -statistic and receiver operating characteristic in both the training and validation cohorts.
A total of 234 patients (training cohort: = 176; validation cohort: = 58) and 271 tumors with a median OS of 17.0 ± 12.2 months were included. The predictors selected into the nomogram included tumor diameter (hazard ratio [HR], 2.12; 95% confidence interval [CI], 1.37-3.30; < 0.001), extrapulmonary metastases (HR, 1.77; 95% CI, 1.06-2.95; = 0.030), tumor stage (HR, 1.38; 95% CI, 1.07-1.79; = 0.013), tumor type (HR, 2.00; 95% CI, 1.48-2.72; < 0.001) and post-MWA TKIs (HR, 0.55; 95% CI, 0.34-0.89; < 0.001), based on the results of univariate and multivariate analyses. The -statistic showed good predictive performance, with a -statistic of 0.838 (95% CI, 0.779-0.897) internally and 0.808 (95% CI, 0.695-0.920) externally (training cohort and validation cohort, respectively).
The nomogram was effective in predicting the OS in NSCLC patients treated with MWA, and could be applied to identify patients who may benefit most from MWA and be helpful for clinical decision making.
探讨 CT 引导下经皮微波消融(MWA)治疗非小细胞肺癌(NSCLC)的疗效,并建立有效的列线图预测患者的生存情况。
将接受 MWA 治疗的 NSCLC 患者随机分配至训练队列或验证队列(3:1)。主要观察终点为总生存期(OS),采用单因素和多因素分析确定其预测因素。然后,建立预测 OS 的列线图,并通过训练队列和验证队列的 -统计量和受试者工作特征曲线来评估其预测准确性。
共纳入 234 例患者(训练队列:n=176;验证队列:n=58)和 271 个肿瘤,中位 OS 为 17.0±12.2 个月。纳入列线图的预测因素包括肿瘤直径(HR,2.12;95%CI,1.37-3.30; < 0.001)、肺外转移(HR,1.77;95%CI,1.06-2.95; = 0.030)、肿瘤分期(HR,1.38;95%CI,1.07-1.79; = 0.013)、肿瘤类型(HR,2.00;95%CI,1.48-2.72; < 0.001)和 MWA 后 TKI(HR,0.55;95%CI,0.34-0.89; < 0.001)。基于单因素和多因素分析结果。-统计量显示具有良好的预测性能,内部 -统计量为 0.838(95%CI,0.779-0.897),外部 -统计量为 0.808(95%CI,0.695-0.920)(训练队列和验证队列)。
该列线图可有效预测接受 MWA 治疗的 NSCLC 患者的 OS,可用于识别最可能从 MWA 中获益的患者,有助于临床决策。