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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
Dong, Di1,2; Fang, Mengjie1,2; Tang, Lei3; Shan, Xiuhong4; Gao, Jianbo5; Giganti, Francesco6,7,8; Wang, Rongpin9; Chen, Xin10,11; Wang, Xiaoxiao4; Palumbo, Diego8,12; Fu, Jia3; Li, Wuchao9; Li, Jing5; Zhong, Lianzhen1,2; De Cobelli, Francesco8,12; Ji, Jiafu13; Liu, Zaiyi10; Tian, Jie1,14,15
Source PublicationANNALS OF ONCOLOGY
ISSN0923-7534
2020-07-01
Volume31Issue:7Pages:912-920
Abstract

Background: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of individual treatment of locally advanced gastric cancer (LAGC). However, the routinely used preoperative determination method is not accurate enough. Patients and methods: We enrolled 730 LAGC patients from five centers in China and one center in Italy, and divided them into one primary cohort, three external validation cohorts, and one international validation cohort. A deep learning radiomic nomogram (DLRN) was built based on the images from multiphase computed tomography (CT) for preoperatively determining the number of LNM in LAGC. We comprehensively tested the DLRN and compared it with three state-of-the-art methods. Moreover, we investigated the value of the DLRN in survival analysis. Results: The DLRN showed good discrimination of the number of LNM on all cohorts [overall C-indexes (95% confidence interval): 0.821 (0.785e0.858) in the primary cohort, 0.797 (0.771e0.823) in the external validation cohorts, and 0.822 (0.756e0.887) in the international validation cohort]. The nomogram performed significantly better than the routinely used clinical N stages, tumor size, and clinical model (P < 0.05). Besides, DLRN was significantly associated with the overall survival of LAGC patients (n ¼ 271). Conclusion: A deep learning-based radiomic nomogram had good predictive value for LNM in LAGC. In staging-oriented treatment of gastric cancer, this preoperative nomogram could provide baseline information for individual treatment of LAGC. 

Keyworddeep learning locally advanced gastric cancer lymph node metastasis radiomic nomogram
DOI10.1016/j.annonc.2020.04.003
WOS KeywordDIAGNOSIS ; SURVIVAL
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[91959130] ; National Natural Science Foundation of China[81971776] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81771912] ; National Natural Science Foundation of China[81671682] ; National Natural Science Foundation of China[91959205] ; National Natural Science Foundation of China[81601469] ; National Natural Science Foundation of China[81701687] ; National Natural Science Foundation of China[81227901] ; National Science Fund for Distinguished Young Scholars[81925023] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1309101] ; National Key R&D Program of China[2017YFC1309104] ; Beijing Natural Science Foundation[L182061] ; Beijing Natural Science Foundation[Z180001] ; Youth Innovation Promotion Association CAS[2017175] ; UCL Graduate Research Scholarship ; Brahm PhD scholarship in memory of Chris Adams
Funding OrganizationNational Natural Science Foundation of China ; National Science Fund for Distinguished Young Scholars ; National Key R&D Program of China ; Beijing Natural Science Foundation ; Youth Innovation Promotion Association CAS ; UCL Graduate Research Scholarship ; Brahm PhD scholarship in memory of Chris Adams
WOS Research AreaOncology
WOS SubjectOncology
WOS IDWOS:000540695500014
PublisherELSEVIER
Citation statistics
Cited Times:21[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39813
Collection中国科学院分子影像重点实验室
Corresponding AuthorJi, Jiafu; Liu, Zaiyi; Tian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
3.Peking Univ Canc Hosp & Inst, Key Lab Carcinogenesis & Translat Res, Radiol Dept, Minist Educ Beijing, Beijing, Peoples R China
4.Jiangsu Univ, Dept Radiol, Affiliated Peoples Hosp, Zhenjiang, Jiangsu, Peoples R China
5.Zhengzhou Univ, Dept Radiol, Affiliated Hosp 1, Zhengzhou, Henan, Peoples R China
6.Univ Coll London Hosp NHS Fdn Trust, Dept Radiol, London, England
7.UCL, Div Surg & Intervent Sci, Fac Med Sci, London, England
8.Ist Sci San Raffaele, Dept Radiol, Expt Imaging Ctr, Milan, Italy
9.Guizhou Prov Peoples Hosp, Dept Radiol, Guiyang, Guizhou, Peoples R China
10.Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Radiol, Guangzhou, Guangdong, Peoples R China
11.Guangzhou First Peoples Hosp, Dept Radiol, Guangzhou, Guangdong, Peoples R China
12.Univ Vita Salute San Raffaele, Milan, Italy
13.Peking Univ Canc Hosp & Inst, Key Lab Carcinogenesis & Translat Res, Gastrointestinal Canc Ctr, Minist Educ Beijing, 52 Fu Cheng Rd, Beijing 100142, Peoples R China
14.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
15.Xidian Univ, Sch Life Sci & Technol, Engn Res Ctr Mol & Neuro Imaging, Minist Educ, Xian, Shaanxi, 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
Dong, Di,Fang, Mengjie,Tang, Lei,et al. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study[J]. ANNALS OF ONCOLOGY,2020,31(7):912-920.
APA Dong, Di.,Fang, Mengjie.,Tang, Lei.,Shan, Xiuhong.,Gao, Jianbo.,...&Tian, Jie.(2020).Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.ANNALS OF ONCOLOGY,31(7),912-920.
MLA Dong, Di,et al."Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study".ANNALS OF ONCOLOGY 31.7(2020):912-920.
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