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

文献类型：期刊论文

作者Li, Wuchao1,2,3; Zhang, Liwen2,4; Tian, Chong1,3; Song, Hui1,3; Fang, Mengjie2; Hu, Chaoen2; Zang, Yali2; Cao, Ying3,5; Dai, Shiyuan3,6; Wang, Fang3,7
刊名EUROPEAN RADIOLOGY
出版日期2019-06-01
卷号29期号:6页码:3079-3089
关键词Multidetector computed tomography Stomach neoplasms Survival
ISSN号0938-7994
DOI10.1007/s00330-018-5861-9
通讯作者Wang, Rongpin(wangrongpin@126.com) ; Tian, Jie(tian@ieee.org)
英文摘要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.
WOS关键词INTRATUMOR HETEROGENEITY ; RADIOGENOMICS ; INFORMATION ; SELECTION ; SURVIVAL
资助项目National Natural Science Foundation of China[81360565] ; National Natural Science Foundation of China[61661010] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[61231004] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81527805] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; Guizhou Provincial Department of Science and Technology ; Guizhou Provincial People's Hospital Doctoral Foundation[GZSYBS[2015] 02] ; Science and Technology Foundation of Guizhou Province[QKHJC[2016] 1096] ; Technology and Innovation Foundation for the Returned Overseas Chinese Scholars[QRXMZZ(2016) 03] ; Guizhou Science and Technology Department Key Project[QKF[2017] 25] ; Guizhou Provincial People's Hospital United Foundation[QKHLHZ[2015] 7115]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000467646300035
出版者SPRINGER
资助机构National Natural Science Foundation of China ; National Key R&D Program of China ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; Beijing Municipal Science and Technology Commission ; Guizhou Provincial Department of Science and Technology ; Guizhou Provincial People's Hospital Doctoral Foundation ; Science and Technology Foundation of Guizhou Province ; Technology and Innovation Foundation for the Returned Overseas Chinese Scholars ; Guizhou Science and Technology Department Key Project ; Guizhou Provincial People's Hospital United Foundation
源URL[http://ir.ia.ac.cn/handle/173211/24583]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Wang, Rongpin; Tian, Jie
作者单位1.Guizhou Prov Peoples Hosp, Dept Radiol, Guiyang, Guizhou, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
3.Guizhou Prov Peoples Hosp, Guizhou Prov Key Lab Intelligent Med Image Anal &, Guiyang, Guizhou, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
5.Guizhou Prov Peoples Hosp, Dept Pathol, Guiyang, Guizhou, Peoples R China
6.Guizhou Prov Peoples Hosp, Dept Med Records & Stat, Guiyang, Guizhou, Peoples R China
7.Guizhou Prov Peoples Hosp, Dept Gen Surg, Guiyang, Guizhou, Peoples R China
8.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Li, Wuchao,Zhang, Liwen,Tian, Chong,et al. Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection[J]. EUROPEAN RADIOLOGY,2019,29(6):3079-3089.
APA Li, Wuchao.,Zhang, Liwen.,Tian, Chong.,Song, Hui.,Fang, Mengjie.,...&Tian, Jie.(2019).Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection.EUROPEAN RADIOLOGY,29(6),3079-3089.
MLA Li, Wuchao,et al."Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection".EUROPEAN RADIOLOGY 29.6(2019):3079-3089.

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