Sub-region based radiomics analysis for survival prediction in oesophageal tumours treated by definitive concurrent chemoradiotherapyResearch in context
Congying Xie,
Pengfei Yang,
Xuebang Zhang,
Lei Xu,
Xiaoju Wang,
Xiadong Li,
Luhan Zhang,
Ruifei Xie,
Ling Yang,
Zhao Jing,
Hongfang Zhang,
Lingyu Ding,
Yu Kuang,
Tianye Niu,
Shixiu Wu
Affiliations
Congying Xie
Cancer Centre, First Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, PR China
Pengfei Yang
Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, PR China
Xuebang Zhang
Cancer Centre, First Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, PR China
Lei Xu
Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
Xiaoju Wang
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Xiadong Li
Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; Department of Radiation Therapy, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Luhan Zhang
Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
Ruifei Xie
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Ling Yang
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Zhao Jing
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Hongfang Zhang
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Lingyu Ding
Cancer Research Institute, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, PR China
Yu Kuang
Department of Medical Physics, University of Nevada, Las Vegas, Las Vegas, NV, USA
Tianye Niu
Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; Corresponding author.
Shixiu Wu
National Cancer Center/National Clinical Research Center For Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China; Corresponding author at: National Cancer Center/National Clinical Research Center For Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Guangdong, PR China.
Background: Evaluating clinical outcome prior to concurrent chemoradiotherapy remains challenging for oesophageal squamous cell carcinoma (OSCC) as traditional prognostic markers are assessed at the completion of treatment. Herein, we investigated the potential of using sub-region radiomics as a novel tumour biomarker in predicting overall survival of OSCC patients treated by concurrent chemoradiotherapy. Methods: Independent patient cohorts from two hospitals were included for training (n = 87) and validation (n = 46). Radiomics features were extracted from sub-regions clustered from patients' tumour regions using K-means method. The LASSO regression for ‘Cox’ method was used for feature selection. The survival prediction model was constructed based on the sub-region radiomics features using the Cox proportional hazards model. The clinical and biological significance of radiomics features were assessed by correlation analysis of clinical characteristics and copy number alterations(CNAs) in the validation dataset. Findings: The overall survival prediction model combining with seven sub-regional radiomics features was constructed. The C-indexes of the proposed model were 0.729 (0.656–0.801, 95% CI) and 0.705 (0.628–0.782, 95%CI) in the training and validation cohorts, respectively. The 3-year survival receiver operating characteristic (ROC) curve showed an area under the ROC curve of 0.811 (0.670–0.952, 95%CI) in training and 0.805 (0.638–0.973, 95%CI) in validation. The correlation analysis showed a significant correlation between radiomics features and CNAs. Interpretation: The proposed sub-regional radiomics model could predict the overall survival risk for patients with OSCC treated by definitive concurrent chemoradiotherapy. Fund: This work was supported by the Zhejiang Provincial Foundation for Natural Sciences, National Natural Science Foundation of China. Keywords: Oesophageal cancer, Radiomics, Prognostic model, Radiation therapy, Imaging
