Evidence map›Paper›PMID 31867232›Full record

ArticleQuantitative imaging in medicine and surgery2019

A novel neuroimaging assessment of predictive risk factors associated with intraoperative massive hemorrhage in intracranial solid hemangioblastoma.

Qiang Gao, Lan Zhang, Guoqing Wang, Dingkang Xu, Mengzhao Feng, Fang Wang, Qingjie Wei, Xianzhi Liu, Fuyou Guo

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% of its field
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Qiang GaoDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Lan ZhangDepartment of MRI, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450003, China.
Guoqing WangDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Dingkang XuDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Mengzhao FengDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Fang WangDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Qingjie WeiDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Xianzhi LiuDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Fuyou GuoDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
First Affiliated Hospital of Zhengzhou University · CNFirst Affiliated Hospital of Henan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA solid hemangioblastoma (SH) is a benign and highly vascularized tumor. Microsurgical treatment of SH is still challenging due to excessive intraoperative bleeding.

methodsSixty-six consecutive patients with SH were retrospectively analyzed. The volume of intraoperative blood loss (IBL) and the features detected by magnetic resonance imaging (MRI) were evaluated by a neurosurgeon and multiple neuroradiologists.

resultsFour striking MRI features-peritumoral edema, the flow-void effect, large draining veins, and a visible feeding artery-were related to excessive IBL. Regarding the weighted values of these risk factors, the flow-void effect was the factor most significantly correlated with IBL (P<0.01, R=0.418). The feeding artery also contributed substantially to excessive IBL (P<0.05, R=0.412). The next most influential factor was the presence of large draining veins (P<0.05, R=0.350), followed by peritumoral edema (P<0.05, R=0.308). The four major risk factors-the flow-void effect, feeding arteries, large draining veins, and peritumoral edema-were assigned point values of 3, 3, 2, and 1, respectively, for a maximum total score of 9 points. A higher total score indicates that a higher volume of bleeding is more likely to occur during surgery.

conclusionsThis study reports the potential neuroimaging-based risk factors leading to abundant IBL in SH by neuroimaging assessment. The study proposes a novel scoring system to predict IBL, potentially decreasing the risk involved in the surgical treatment of SH.

Indexed as

intraoperative blood loss (IBL)neuroimaging assessmentneurosurgerySolid hemangioblastomas (SHs)surgical risk prediction

Identifiers

PMID31867232
PMCPMC6902149
OpenAlexW2980521352

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.