预测同步多发性原发性肺癌（SMPLC）的预后没有一种简单而明确的方法。在本研究中，我们开发了临床预后评分用于预测患有SMPLC的患者的生存率。本研究包括2011年至2020年在三家医院接受治疗的206例SMPLC患者。使用Kaplan-Meier分析确定定量胸部计算机断层扫描（CT）参数的最佳分界值。进行多变量Cox比例风险回归来鉴定预测总生存期（OS）和无病生存期（DFS）的独立预后因素。分析时间相关的接受者操作特征曲线以评估预后表现。开发了包含六个胸部CT参数的基于CT的预后评分（CTPS）。与T分期相比，CTPS在预测OS和DFS方面具有更高的预测准确度。模型的所有C指数在开发和验证队列中均达到令人满意的水平。当患者被分为不同风险组时，OS和DFS曲线存在显著差异。高风险组（CTPS 5-6）的生存率低于低风险组（CTPS 0-4）。开发的CTPS及其相应的风险分层系统对于预测SMPLC患者的生存率是有效的。© 2023年。外科肿瘤学会。

There is no simple and definitive way to predict the prognosis of synchronous multiple primary lung cancer (SMPLC). In this study, we developed a clinical prognostic score for predicting the survival of patients with SMPLC.This study included 206 patients with SMPLC between 2011 and 2020 at three hospitals. Kaplan-Meier analysis was used to determine the optimal cutoff values for the quantitative chest computed tomography (CT) parameters. Multivariable Cox proportional hazards regression was carried out to identify independent prognostic factors for predicting overall survival (OS) and disease-free survival (DFS). The time-dependent receiver operating characteristic curve was analyzed to evaluate the prognostic performance.A CT-based prognostic score (CTPS) comprising six chest CT parameters was developed. Compared with T stage, CTPS had a higher prediction accuracy for OS and DFS. All C-indices of the model reached a satisfactory level in both the development and validation cohorts. Significant differences in the OS and DFS curves were observed when the patients were stratified into different risk groups. The high-risk group (CTPS of 5-6) had poorer survival than the low-risk group (CTPS of 0-4).The developed CTPS and the corresponding risk stratification system are valid for predicting the survival of patients with SMPLC.© 2023. Society of Surgical Oncology.