Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection

列线图 医学 无线电技术 回顾性队列研究 放射科 阶段(地层学) 癌症 神经组阅片室 队列 一致性 肿瘤科 内科学 神经学 生物 精神科 古生物学
作者
Wuchao Li,Liwen Zhang,Chong Tian,Hui Song,Mengjie Fang,C. Y. Hu,Yali Zang,Ying Cao,Shiyuan Dai,Fang Wang,Di Dong,Rongpin Wang,Jie Tian
出处
期刊:European Radiology [Springer Science+Business Media]
卷期号:29 (6): 3079-3089 被引量:91
标识
DOI:10.1007/s00330-018-5861-9
摘要

The present study aimed to investigate the clinical prognostic significance of radiomics signature (R-signature) in patients with gastric cancer who had undergone radical resection. A total of 181 patients with gastric cancer who had undergone radical resection were enrolled in this retrospective study. The association between the R-signature and overall survival (OS) was assessed in the primary cohort and verified in the validation cohort. Furthermore, the performance of a radiomics nomogram integrating the R-signature and significant clinicopathological risk factors was evaluated. The R-signature, which consisted of six imaging features, stratified patients with gastric cancer who had undergone radical resection into two prognostic risk groups in both cohorts. The radiomics nomogram incorporating R-signature and significant clinicopathological risk factors (T stage, N stage, and differentiation) exhibited significant prognostic superiority over clinical nomogram and R-signature alone (Harrell concordance index, 0.82 vs 0.71 and 0.82 vs 0.74, respectively, p < 0.001 in both analyses). All calibration curves showed remarkable consistency between predicted and actual survival, and decision curve analysis verified the usefulness of the radiomics nomogram for clinical practice. The R-signature could be used to stratify patients with gastric cancer following radical resection into high- and low-risk groups. Furthermore, the radiomics nomogram provided better predictive accuracy than other predictive models and might aid clinicians with therapeutic decision-making and patient counseling. • Radiomics can stratify the gastric cancer patients following radical resection into high- and low-risk groups. • Radiomics can improve the prognostic value of TNM staging system. • Radiomics may facilitate personalized treatment of gastric cancer patients.
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