CASIA OpenIR  > 中国科学院分子影像重点实验室
The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer
Qu, Jinrong1,2; Shen, Chen2,3; Qin, Jianjun4; Wang, Zhaoqi1; Liu, Zhenyu3; Guo, Jia1; Zhang, Hongkai1; Gao, Pengrui1; Bei, Tianxia1; Wang, Yingshu1; Liu, Hui1; Kamel, Ihab R.5; Tian, Jie2,3; Li, Hailiang1
Source PublicationEUROPEAN RADIOLOGY
ISSN0938-7994
2019-02-01
Volume29Issue:2Pages:906-914
Corresponding AuthorTian, Jie(jie.tian@ia.ac.cn) ; Li, Hailiang(doctorhnchr@126.com)
AbstractPurposeTo assess the role of the MR radiomic signature in preoperative prediction of lymph node (LN) metastasis in patients with esophageal cancer (EC).Patients and methodsA total of 181 EC patients were enrolled in this study between April 2015 and September 2017. Their LN metastases were pathologically confirmed. The first half of this cohort (90 patients) was set as the training cohort, and the second half (91 patients) was set as the validation cohort. A total of 1578 radiomic features were extracted from MR images (T2-TSE-BLADE and contrast-enhanced StarVIBE). The lasso and elastic net regression model was exploited for dimension reduction and selection of the feature space. The multivariable logistic regression analysis was adopted to identify the radiomic signature of pathologically involved LNs. The discriminating performance was assessed with the area under receiver-operating characteristic curve (AUC). The Mann-Whitney U test was adopted for testing the potential correlation of the radiomic signature and the LN status in both training and validation cohorts.ResultsNine radiomic features were selected to create the radiomic signature significantly associated with LN metastasis (p < 0.001). AUC of radiomic signature performance in the training cohort was 0.821 (95% CI: 0.7042-0.9376) and in the validation cohort was 0.762 (95% CI: 0.7127-0.812). This model showed good discrimination between metastatic and non-metastatic lymph nodes.ConclusionThe present study showed MRI radiomic features that could potentially predict metastatic LN involvement in the preoperative evaluation of EC patients.Key Points center dot The role of MRI in preoperative staging of esophageal cancer patients is increasing.center dot MRI radiomic features showed the ability to predict LN metastasis in EC patients.center dot ICCs showed excellent interreader agreement of the extracted MR features.
KeywordMagnetic resonance imaging Esophageal cancer Lymph nodes Metastasis
DOI10.1007/s00330-018-5583-z
WOS KeywordCT TEXTURE ; HETEROGENEITY ; SEQUENCE ; NUMBER
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[81501549] ; National Natural Science Foundation of China[81772012] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Key Research and Development Plan of China[2016YFC0103001] ; Beijing Municipal Science & Technology Commission[Z171100000117023] ; Henan Health Science and Technology Innovation Talent Project[201004057] ; National Natural Science Foundation of China[81501549] ; National Natural Science Foundation of China[81772012] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Key Research and Development Plan of China[2016YFC0103001] ; Beijing Municipal Science & Technology Commission[Z171100000117023] ; Henan Health Science and Technology Innovation Talent Project[201004057]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Plan of China ; Beijing Municipal Science & Technology Commission ; Henan Health Science and Technology Innovation Talent Project
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000454706500045
PublisherSPRINGER
Citation statistics
Cited Times:31[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/25634
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie; Li, Hailiang
Affiliation1.Zhengzhou Univ, Henan Canc Hosp, Dept Radiol, Affiliated Canc Hosp, Zhengzhou 450003, Henan, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, Xian 710126, Shaanxi, Peoples R China
3.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
4.Zhengzhou Univ, Henan Canc Hosp, Dept Thorac Surg, Affiliated Canc Hosp, Zhengzhou 450003, Henan, Peoples R China
5.Johns Hopkins Univ, Sch Med, Dept Radiol, Baltimore, MD 21205 USA
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qu, Jinrong,Shen, Chen,Qin, Jianjun,et al. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer[J]. EUROPEAN RADIOLOGY,2019,29(2):906-914.
APA Qu, Jinrong.,Shen, Chen.,Qin, Jianjun.,Wang, Zhaoqi.,Liu, Zhenyu.,...&Li, Hailiang.(2019).The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.EUROPEAN RADIOLOGY,29(2),906-914.
MLA Qu, Jinrong,et al."The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer".EUROPEAN RADIOLOGY 29.2(2019):906-914.
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