Evidence map›Paper›PMID 39698705›Full record

ArticleQuantitative imaging in medicine and surgery2024

Peritumoral vessel characteristics on magnetic resonance venography reflect the sinus invasion status of para-sinus meningioma.

Jin Cui, Xuanxuan Li, Ding Xia, Xiaoyu Gu, Yajing Zhao, Nan Mei, Dongdong Wang, Shihai Luan, Puye Wu, Yiping Lu and 1 more

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Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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11 authors.

Jin Cui *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Xuanxuan Li *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Ding Xia *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Xiaoyu Gu *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Yajing ZhaoDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Nan MeiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Dongdong WangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Shihai LuanDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Puye WuTongji South Road, Daxing District, Beijing, China.
Yiping Lu *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Bo Yin *Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early recognition of sinus invasion for meningiomas matters the clinical intervention. Therefore, we retrospectively investigated the relationship between peritumoral vessel features on magnetic resonance venography (MRV) and sinus invasion status. Methods: Images of phase contrast MRV (PC-MRV, n=46) and contrast-enhanced MRV (CE-MRV, n=39) were independently assessed by four experienced neuroradiologists, including the adjacent sinus status, the peritumoral vessel count and diameter-associated parameters. The sinus invasion status confirmed based on Sindou's criteria during surgery was taken as the gold standard. The relationship between these MRV-based vessel characteristics and sinus invasion status was further analyzed. Results: The judgment of sinus invasion based on PC-MRV (n=46) and CE-MRV (n=39) revealed a total accuracy of 63% and 74.4%, respectively. The MRV-based vessel count and associated diameter parameters demonstrated statistical differences between the non-invasion and the invasion group (P<0.05). Under the cutoff value of 3 vessels on PC-MRV and 5.5 vessels on CE-MRV, the prediction of sinus invasion status finally achieved the accuracy of 69.6% and 84.6%, respectively. Furthermore, the vessel count, the sum vascular diameter and the max vascular diameter remained significantly different in further subgroup analyses. A comprehensive generalized linear models (GLM) model based on MRV-related vascular features showed the best diagnostic performance on sinus invasion, with the area under the receiver operating characteristic curve of 0.859 for PC-MRV and 0.913 for CE-MRV. Conclusions: For para-sinus meningioma, peritumoral vessel characteristics on MRV, especially the vessel count, exhibited close relationships with sinus status, and thus could be a novel tool to predict sinus invasion.

Indexed as

magnetic resonance venography (MRV)Meningiomaperitumoralsinus invasionvessel features

Identifiers

PMID39698705
PMCPMC11652032

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