CASIA OpenIR
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
Source PublicationEUROPEAN RADIOLOGY
ISSN0938-7994
2019-06-01
Volume29Issue:6Pages:3079-3089
Corresponding AuthorWang, Rongpin(wangrongpin@126.com) ; Tian, Jie(tian@ieee.org)
AbstractObjectivesThe 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.
KeywordMultidetector computed tomography Stomach neoplasms Survival
DOI10.1007/s00330-018-5861-9
WOS KeywordINTRATUMOR HETEROGENEITY ; RADIOGENOMICS ; INFORMATION ; SELECTION ; SURVIVAL
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000467646300035
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24584
Collection中国科学院自动化研究所
Corresponding AuthorWang, Rongpin; Tian, Jie
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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