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Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images

文献类型：期刊论文

作者Niu, Jianxing1; Zhang, Shuaitong2,3; Ma, Shunchang1; Diao, Jinfu1; Zhou, Wenjianlong1; Tian, Jie2,3,4; Zang, Yali2,3; Jia, Wang1
刊名EUROPEAN RADIOLOGY
出版日期2019-03-01
卷号29期号:3页码:1625-1634
关键词Pituitary adenomas Cavernous sinus Neoplasm invasion Nomogram Support vector machine
ISSN号0938-7994
DOI10.1007/s00330-018-5725-3
通讯作者Zang, Yali(yali.zang@ia.ac.cn) ; Jia, Wang(jwttyy@126.com)
英文摘要ObjectivesTo predict cavernous sinus (CS) invasion by pituitary adenomas (PAs) pre-operatively using a radiomics method based on contrast-enhanced T1 (CE-T1) and T2-weighted magnetic resonance (MR) imaging.MethodsA total of 194 patients with Knosp grade two and three PAs (training set: n = 97; test set: n = 97) were enrolled in this retrospective study. From CE-T1 and T2 MR images, 2553 quantitative imaging features were extracted. To select the most informative features, least absolute shrinkage and selection operator (LASSO) was performed. Subsequently, a linear support vector machine (SVM) was used to fit the predictive model. Furthermore, a nomogram was constructed by incorporating clinico-radiological risk factors and radiomics signature, and the clinical usefulness of the nomogram was validated using decision curve analysis (DCA).ResultsThree imaging features were selected in the training set, based on which the radiomics model yielded area under the curve (AUC) values of 0.852 and 0.826 for the training and test sets. The nomogram based on the radiomics signature and the clinico-radiological risk factors yielded an AUC of 0.899 in the training set and 0.871 in the test set.ConclusionsThe nomogram developed in this study might aid neurosurgeons in the pre-operative prediction of CS invasion by Knosp grade two and three PAs, which might contribute to creating surgical strategies.Key Points center dot Pre-operative diagnosis of CS invasion by PAs might affect creating surgical strategies center dot MRI might help for diagnosis of CS invasion by PAs before surgery center dot Radiomics might improve the CS invasion detection by MR images.
WOS关键词TRANSSPHENOIDAL APPROACH ; TEXTURE ; CLASSIFICATION ; INFORMATION ; RECURRENCE ; SELECTION ; RESECTION ; SURVIVAL ; FEATURES ; SPACE
资助项目National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2017YFC1308700] ; National Key Research and Development Program of China[2106YFC0103702] ; National Key Research and Development Program of China[2016YFA0201401] ; National Key Research and Development Program of China[2017YFC1308701] ; National Key Research and Development Program of China[2017YFC1309100] ; National Key Research and Development Program of China[2016CZYD0001] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81671851] ; Beijing excellent talent funding project[2016000037591G246] ; Beijing Municipal Science & Technology Commission[Z161100002616022] ; Beijing Municipal Science & Technology Commission[Z171100000117023] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; Instrument Developing Project of the Chinese Academy of Sciences[YZ201502]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000457396100060
出版者SPRINGER
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing excellent talent funding project ; Beijing Municipal Science & Technology Commission ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; Instrument Developing Project of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/25299]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Zang, Yali; Jia, Wang
作者单位1.Capital Med Univ, Beijing Tiantan Hosp, Neurosurg, Beijing 100050, Peoples R China
2.Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Niu, Jianxing,Zhang, Shuaitong,Ma, Shunchang,et al. Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images[J]. EUROPEAN RADIOLOGY,2019,29(3):1625-1634.
APA Niu, Jianxing.,Zhang, Shuaitong.,Ma, Shunchang.,Diao, Jinfu.,Zhou, Wenjianlong.,...&Jia, Wang.(2019).Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.EUROPEAN RADIOLOGY,29(3),1625-1634.
MLA Niu, Jianxing,et al."Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images".EUROPEAN RADIOLOGY 29.3(2019):1625-1634.

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来源：自动化研究所

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