An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study
An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study
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基于 MRI 的放射组学临床列线图用于预测下咽鳞状细胞癌患者的总生存期：一项多队列研究
DOI：
10.1007/s00330-021-08292-z
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发表时间：
2021-10-19
影响因子：
5.9
通讯作者：
Liu, Yong
中科院分区：
文献类型：
--
作者：
Chen, Juan;Lu, Shanhong;Liu, Yong
目的探讨下咽鳞癌患者治疗前磁共振成像（MRI）放射组学特征对预后的预测价值。方法选择两个研究机构收治的下咽鳞癌患者190例，均为非手术病例。放射组学特征提取自增强轴位T1加权（CE-T1 WI）序列。采用最小绝对收缩选择算子（LASSO）算法建立与OS相关的放射组学评分，采用多变量Logistic回归分析确定独立危险因素，结合放射组学评分构建放射组学诺模图。结果构建并验证了具有6个CE-T1 WI特征的放射组学评分用于OS预测;其与特定临床病理因素（N分期）的整合在训练、内部验证和外部验证队列中显示出更好的预测性能（C指数0.78、0.75和0.75）。校准曲线确定了预测和实际总生存期之间的良好一致性。结论放射组学-临床列线图和放射组学评分是下咽鳞癌危险分层的无创、可靠的方法。
Objective To explore whether radiomics features extracted from pre-treatment magnetic resonance imaging (MRI) can predict the overall survival (OS) in patients with hypopharyngeal squamous cell carcinoma. Methods A total of 190 patients with hypopharyngeal squamous cell carcinoma were eligibly enrolled from two institutions. Radiomics features were extracted from contrast-enhanced axial T1-weighted (CE-T1WI) sequence. The least absolute shrinkage selection operator (LASSO) algorithm was applied to establish a radiomics score correlated with OS. Multivariate logistic regression analysis was applied to determine the independent risk factors, which was combined with radiomics score to build the final radiomics nomogram. Results A radiomics score with 6 CE-T1WI features for OS prediction was constructed and validated; its integration with specific clinicopathologic factors (N stage) showed a better prediction performance in the training, internal validation, and external validation cohorts (C-index 0.78, 0.75, and 0.75). Calibration curves determined a good agreement between the predicted and actual overall survival. Conclusions The radiomics-clinical nomogram and radiomics score might be non-invasive and reliable methods for the risk stratification in patients with hypopharyngeal squamous cell carcinoma.