Knowledge Commons of Institute of Automation，CAS
| 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
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| Source Publication | EUROPEAN RADIOLOGY
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| ISSN | 0938-7994 |
| 2019-06-01 | |
| Volume | 29Issue:6Pages:3079-3089 |
| Corresponding Author | Wang, Rongpin(wangrongpin@126.com) ; Tian, Jie(tian@ieee.org) |
| Abstract | 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. |
| Keyword | Multidetector computed tomography Stomach neoplasms Survival |
| DOI | 10.1007/s00330-018-5861-9 |
| WOS Keyword | INTRATUMOR HETEROGENEITY ; RADIOGENOMICS ; INFORMATION ; SELECTION ; SURVIVAL |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[61231004] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[61661010] ; National Natural Science Foundation of China[81360565] ; 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] |
| Funding Organization | 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 |
| WOS Research Area | Radiology, Nuclear Medicine & Medical Imaging |
| WOS Subject | Radiology, Nuclear Medicine & Medical Imaging |
| WOS ID | WOS:000467646300035 |
| Publisher | SPRINGER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/24584 |
| Collection | 中国科学院自动化研究所 |
| Corresponding Author | Wang, Rongpin; Tian, Jie |
| Affiliation | 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 |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute 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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