Imaging biomarkers of contrast-enhanced computed tomography predict survival in oesophageal cancer after definitive concurrent chemoradiotherapy

• DOI: 10.1186/s13014-020-01699-w
• Publication Date: 2021-01-12T20:47:24Z
• Authors: Chengbing Zeng; Tiantian Zhai; Jianzhou Chen; Longjia Guo; Baotian Huang; Hong Guo; Guozhi Liu; Tingting Zhuang; Weitong Liu; Ting Luo; Yanxuan Wu; Guobo Peng; Derui Li; Chuangzhen Chen
• Keywords: Nomogram; Chemoradiotherapy

Abstract Background This study aimed to evaluate the predictive potential of contrast-enhanced computed tomography (CT)-based imaging biomarkers (IBMs) for treatment outcomes patients with oesophageal squamous cell carcinoma (OSCC) after definitive concurrent chemoradiotherapy (CCRT). Methods Altogether, 154 OSCC who underwent CCRT were included in this retrospective study. All randomised training cohort (n = 99) or validation 55). Pre-treatment CT scans obtained all and used extraction IBMs. An IBM score, was constructed by using least absolute shrinkage selection operator Cox regression analysis, which equal log-partial hazard model tested cohort. nomograms built based on scores individualised survival estimation. Finally, a decision curve analysis performed estimate clinical usefulness nomograms. Results 96 IBMs extracted from each scan. 11 CT-based overall (OS) 8 progression-free (PFS), LASSO-Cox method Multivariate revealed that score an independent prognostic factor correlated OS PFS. In cohort, C-indices 0.734 (95% CI 0.664–0.804) 0.658 0.587–0.729) PFS, respectively. 0.672 0.578–0.766) 0.666 0.574–0.758) Kaplan–Meier showed significant difference between risk subgroups cohorts. Decision confirmed score. Conclusions The pre-treatment could predict PFS CCRT. Further multicentre studies larger sample sizes are warranted.