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

A solid hemangioblastoma (SH) is a benign and highly vascularized tumor. Microsurgical treatment of SH is still challenging due to excessive intraoperative bleeding. Sixty-six consecutive patients with SH were retrospectively analyzed. The volume of intraoperative blood loss (IBL) and the features d...

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Published inQuantitative imaging in medicine and surgery Vol. 9; no. 11; pp. 1781 - 1791
Main Authors Gao, Qiang, Zhang, Lan, Wang, Guoqing, Xu, Dingkang, Feng, Mengzhao, Wang, Fang, Wei, Qingjie, Liu, Xianzhi, Guo, Fuyou
Format Journal Article
LanguageEnglish
Published China AME Publishing Company 01.11.2019
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Summary:A solid hemangioblastoma (SH) is a benign and highly vascularized tumor. Microsurgical treatment of SH is still challenging due to excessive intraoperative bleeding. Sixty-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. Four 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. This 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.
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ISSN:2223-4292
2223-4306
DOI:10.21037/qims.2019.09.05