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

文献类型：期刊论文

作者Wei, Jingwei7,8,9; Li, Lianwang1; Han, Yuqi7,8,9; Gu, Dongsheng7,8,9; Chen, Qian2; Wang, Junmei3; Li, Runting1; Zhan, Jiong2; Tian, Jie4,5,7,8,9; Zhou, Dabiao1,6
刊名FRONTIERS IN ONCOLOGY
出版日期2020-05-19
卷号10页码:11
关键词intracranial hemangiopericytoma meningioma diagnosis magnetic resonance imaging radiomics
ISSN号2234-943X
DOI10.3389/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.
WOS关键词CENTRAL-NERVOUS-SYSTEM ; MENINGEAL HEMANGIOPERICYTOMA ; MR ; FEATURES ; TUMORS ; BRAIN ; CT
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研究方向Oncology
语种英语
WOS记录号WOS:000538410800001
出版者FRONTIERS MEDIA SA
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
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.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China
2.Beijing Neurosurg Inst, Dept Radiol, Beijing, Peoples R China
3.Beijing Neurosurg Inst, Dept Neuropathol, Beijing, Peoples R China
4.Beihang Univ, Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
5.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China
6.China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China
7.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing, Peoples R China
8.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
9.Univ Chinese Acad Sci, Key Lab Mol Imaging, 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.

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来源：自动化研究所

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