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Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery
Zhang, Shuaitong1,2; Song, Guidong3; Zang, Yali1,2; Jia, Jian3; Wang, Chao1,4; Li, Chuzhong3,5; Tian, Jie1,2,6; Dong, Di1,2; Zhang, Yazhuo3,5
Source PublicationEUROPEAN RADIOLOGY
2018-09-01
Volume28Issue:9Pages:3692-3701
SubtypeArticle
AbstractTo make individualised preoperative prediction of non-functioning pituitary adenoma (NFPAs) subtypes between null cell adenomas (NCAs) and other subtypes using a radiomics approach.
KeywordNon-functioning Pituitary Adenomas Null Cell Adenomas Radiomics Support Vector Machine Nomograms
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s00330-017-5180-6
WOS KeywordCELL LUNG-CANCER ; TEXTURE ANALYSIS ; TUMORS ; RADIOTHERAPY ; PATHOGENESIS ; INFORMATION ; PREVALENCE
Indexed BySCI
Language英语
Funding OrganizationNational Key Research and Development Program of China(2017YFA0205200 ; National Natural Science Foundation of China(81227901 ; Beijing Municipal Science & Technology Commission(Z161100002616022 ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences(KFJ-SW-STS-160) ; International Innovation Team of CAS(20140491524) ; Instrument Developing Project of the Chinese Academy of Sciences(YZ201502) ; National High Technology Research and Development Program of China(2015AA020504) ; 2017YFC1308700 ; 81527805 ; Z171100000117023) ; 2106YFC0103702 ; 61231004 ; 2016YFA0201401 ; 81501616 ; 2017YFC1308701 ; 81671851) ; 2017YFC1309100 ; 2016CZYD0001)
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000440984300014
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21836
Collection中国科学院分子影像重点实验室
Affiliation1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
3.Capital Med Univ, Beijing Neurosurg Inst, Beijing 100050, Peoples R China
4.Harbin Univ Sci & Technol, Sch Elect Engn, Harbin 150040, Heilongjiang, Peoples R China
5.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing 100050, Peoples R China
6.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Shuaitong,Song, Guidong,Zang, Yali,et al. Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery[J]. EUROPEAN RADIOLOGY,2018,28(9):3692-3701.
APA Zhang, Shuaitong.,Song, Guidong.,Zang, Yali.,Jia, Jian.,Wang, Chao.,...&Zhang, Yazhuo.(2018).Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery.EUROPEAN RADIOLOGY,28(9),3692-3701.
MLA Zhang, Shuaitong,et al."Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery".EUROPEAN RADIOLOGY 28.9(2018):3692-3701.
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