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

• Published in: European radiology Vol. 29; no. 6; pp. 3079 - 3089
• Main Authors: Li, Wuchao, Zhang, Liwen, Tian, Chong, Song, Hui, Fang, Mengjie, Hu, Chaoen, Zang, Yali, Cao, Ying, Dai, Shiyuan, Wang, Fang, Dong, Di, Wang, Rongpin, Tian, Jie
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019; Springer Nature B.V
• Subjects: Adult; Calibration; Cancer; Clinical decision making; Computed tomography; Decision analysis; Decision making; Diagnostic Radiology; Female; Gastrectomy; Gastric cancer; Gastrointestinal; Humans; Imaging; Internal Medicine; Interventional Radiology; Kaplan-Meier Estimate; Male; Medicine; Medicine & Public Health; Middle Aged; Model accuracy; Neoplasm Staging; Neuroradiology; Nomograms; Patients; Prediction models; Prognosis; Radiology; Radiomics; Retrospective Studies; Risk analysis; Risk Factors; Risk groups; Stomach Neoplasms - diagnostic imaging; Stomach Neoplasms - pathology; Stomach Neoplasms - surgery; Survival; Tomography, X-Ray Computed - methods; Ultrasound; Survival; Stomach neoplasms; Multidetector computed tomography
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-018-5861-9

Objectives 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. Methods 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. Results 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. Conclusions 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. Key Points • 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.