CASIA OpenIR  > 中国科学院分子影像重点实验室
Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection
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; Dong, Di2,4; Wang, Rongpin1,3; Tian, Jie2,4,8
发表期刊EUROPEAN RADIOLOGY
ISSN0938-7994
2019-06-01
卷号29期号:6页码:3079-3089
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.

关键词Multidetector computed tomography Stomach neoplasms Survival
DOI10.1007/s00330-018-5861-9
关键词[WOS]INTRATUMOR HETEROGENEITY ; RADIOGENOMICS ; INFORMATION ; SELECTION ; SURVIVAL
收录类别SCI
语种英语
资助项目Guizhou Provincial People's Hospital United Foundation[QKHLHZ[2015] 7115] ; Guizhou Science and Technology Department Key Project[QKF[2017] 25] ; Technology and Innovation Foundation for the Returned Overseas Chinese Scholars[QRXMZZ(2016) 03] ; Science and Technology Foundation of Guizhou Province[QKHJC[2016] 1096] ; Guizhou Provincial People's Hospital Doctoral Foundation[GZSYBS[2015] 02] ; Guizhou Provincial Department of Science and Technology ; National Natural Science Foundation of China[61661010] ; National Natural Science Foundation of China[81360565] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81771924] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[61231004] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[61231004] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81671851] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; National Natural Science Foundation of China[81360565] ; National Natural Science Foundation of China[61661010] ; 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
WOS类目Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000467646300035
出版者SPRINGER
七大方向——子方向分类医学影像处理与分析
引用统计
被引频次:58[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/24584
专题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
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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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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