4.7 Article

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

期刊

EUROPEAN RADIOLOGY
卷 29, 期 6, 页码 3079-3089

出版社

SPRINGER
DOI: 10.1007/s00330-018-5861-9

关键词

Multidetector computed tomography; Stomach neoplasms; Survival

资金

  1. National Natural Science Foundation of China [81360565, 61661010, 81227901, 81771924, 81501616, 61231004, 81671851, 81527805]
  2. National Key R&D Program of China [2017YFA0205200, 2017YFC1308700, 2017YFC1309100]
  3. Science and Technology Service Network Initiative of the Chinese Academy of Sciences [KFJ-SW-STS-160]
  4. Beijing Municipal Science and Technology Commission [Z161100002616022]
  5. Guizhou Provincial Department of Science and Technology
  6. Guizhou Provincial People's Hospital Doctoral Foundation [GZSYBS[2015] 02]
  7. Science and Technology Foundation of Guizhou Province [QKHJC[2016] 1096]
  8. Technology and Innovation Foundation for the Returned Overseas Chinese Scholars [QRXMZZ(2016) 03]
  9. Guizhou Science and Technology Department Key Project [QKF[2017] 25]
  10. Guizhou Provincial People's Hospital United Foundation [QKHLHZ[2015] 7115]

向作者/读者索取更多资源

ObjectivesThe present study aimed to investigate the clinical prognostic significance of radiomics signature (R-signature) in patients with gastric cancer who had undergone radical resection.MethodsA 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.ResultsThe 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.ConclusionsThe 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 center dot Radiomics can stratify the gastric cancer patients following radical resection into high- and low-risk groups.center dot Radiomics can improve the prognostic value of TNM staging system.center dot Radiomics may facilitate personalized treatment of gastric cancer patients.

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