Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique

doi:10.3389/fonc.2020.00534

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique
	Wei, Jingwei 3,4,5; Li, Lianwang 6; Han, Yuqi 3,4,5; Gu, Dongsheng 3,4,5; Chen, Qian 2; Wang, Junmei 7; Li, Runting 6; Zhan, Jiong 2; Tian, Jie 1,3,4,5,8; Zhou, Dabiao 6,9
刊名	FRONTIERS IN ONCOLOGY
	2020-05-19
卷号	10 页码:11
关键词	intracranial hemangiopericytoma meningioma diagnosis magnetic resonance imaging radiomics
ISSN号	2234-943X
DOI	10.3389/fonc.2020.00534
通讯作者	Tian, Jie(tian@ieee.org) ; Zhou, Dabiao(dabiaozhou@163.com)
英文摘要	Background: Intracranial hemangiopericytoma (IHPC) and meningioma are both meningeal neoplasms, but they have extremely different malignancy and outcomes. Because of their similar radiological characteristics, they are difficult to distinguish prior to surgery, leading to a high rate of misdiagnosis. Methods: We enrolled 292 patients (IHPC, 155; meningiomas, 137) with complete clinic-radiological and histopathological data, from a 10-year database established at Tiantan hospital. Radiomics analysis of tumor and peritumoral edema was performed on multisequence magnetic resonance images, and a fusion radiomics signature was generated using a machine-learning strategy. By combining clinic-radiological data with the fusion radiomics signature, we developed an integrated diagnostic approach that we named the IHPC and Meningioma Diagnostic Tool (HMDT). Results: The HMDT displayed remarkable diagnostic ability, with areas under the curve (AUCs) of 0.985 and 0.917 in the training and validation cohorts, respectively. The calibration curve showed excellent agreement between the diagnosis predicted by HMDT and the histological outcome, with p-values of 0.801 and 0.622 for the training and the validation cohorts, respectively. Cross-validation showed no statistical difference across three divisions of the cohort, with average AUCs of 0.980 and 0.941 for the training and validation cohorts, respectively. Stratification analysis showed consistent performance of the HMDT in distinguishing IHPC from highly misdiagnosed subgroups of grade I meningioma and angiomatous meningioma (AM) with AUCs of 0.913 and 0.914 in the validation cohorts for the two subgroups. Conclusions: By integrating clinic-radiological information with radiomics signature, the proposed HMDT could assist in preoperative diagnosis to distinguish IHPC from meningioma, providing the basis for strategic decisions regarding surgery.
资助项目	Ministry of Science and Technology of China[2017YFA0205200] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Beijing Municipal Science & Technology Commission[Z161100002616022] ; Beijing Municipal Science & Technology Commission[Z171100000117023] ; Key International Cooperation Projects of the Chinese Academy of Sciences[173211KYSB20160053] ; Capital Health Development Research Project[PXM2020_026280_000007]
WOS关键词	CENTRAL-NERVOUS-SYSTEM ; MENINGEAL HEMANGIOPERICYTOMA ; MR ; FEATURES ; TUMORS ; BRAIN ; CT
WOS研究方向	Oncology
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000538410800001
资助机构	Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Beijing Municipal Science & Technology Commission ; Key International Cooperation Projects of the Chinese Academy of Sciences ; Capital Health Development Research Project
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/39620]
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	Tian, Jie; Zhou, Dabiao
作者单位	1.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China 2.Beijing Neurosurg Inst, Dept Radiol, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing, Peoples R China 4.Beijing Key Lab Mol Imaging, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Key Lab Mol Imaging, Beijing, Peoples R China 6.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China 7.Beijing Neurosurg Inst, Dept Neuropathol, Beijing, Peoples R China 8.Beihang Univ, Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China 9.China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wei, Jingwei,Li, Lianwang,Han, Yuqi,et al. Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique[J]. FRONTIERS IN ONCOLOGY,2020,10:11.
APA	Wei, Jingwei.,Li, Lianwang.,Han, Yuqi.,Gu, Dongsheng.,Chen, Qian.,...&Zhou, Dabiao.(2020).Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique.FRONTIERS IN ONCOLOGY,10,11.
MLA	Wei, Jingwei,et al."Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique".FRONTIERS IN ONCOLOGY 10(2020):11.