ArticleNeuroradiology2020
Arterial spin labeling imaging correlates with the angiographic and clinical vascularity of vestibular schwannomas.
Article in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 9 citations in OpenAlex.
- Influence of tumor vascularization in surgical outcomes of patients with Grade IV Vestibular Schwannomas: Role of CD34, Perfusion rates, and VEGF.Neurosurgical review · 2025Article
- Cerebral flow estimated from 3D pCASL for prediction of intraoperative blood loss in non-embolized meningiomas: a feasibility study.Quantitative imaging in medicine and surgery · 2025Article
- Trigeminal Schwannoma Surgery: Challenges in Preserving Facial Sensation.Advances and technical standards in neurosurgery · 2023Article
- Long-term volumetric analysis of vestibular schwannomas following stereotactic radiotherapy: Practical implications for follow-up.Clinical and translational radiation oncology · 2022Article
- Hypervascular vestibular schwannoma: A case report and review of the literature.Radiology case reports · 2021Article
- Perfusion-weighted imaging in vestibular schwannoma: the influence that cystic status and tumor size have on perfusion profiles.Radiologia brasileiraArticle
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9 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeHypervascular vestibular schwannomas (HVSs) are a type of the vestibular schwannomas (VSs) that are extremely difficult to remove. We examined whether HVSs can be predicted by using arterial spin labeling (ASL) imaging.
methodsA total of 103 patients with VSs underwent ASL imaging and digital subtraction angiography (DSA) before surgery. Regional cerebral blood flow (CBF) of gray matter and regional tumor blood flow (TBF) were calculated from ASL imaging, and we defined the ratio of TBF to CBF as the relative TBF (rTBF = TBF/CBF). Angiographic vascularity was evaluated by DSA, and clinical vascularity was evaluated by the degree of intraoperative tumor bleeding. Based on the angiographic and clinical vascularity, the VSs were divided into two categories: HVS and non-HVS. We compared rTBF with angiographic and clinical vascularities, retrospectively.
resultsThe mean rTBFs of angiographic non-HVSs and HVSs were 1.29 and 2.58, respectively (p < 0.0001). At a cutoff value of 1.55, the sensitivity and specificity were 93.9% and 72.9%, respectively. The mean rTBFs of clinical non-HVS and HVSs were 1.45 and 2.22, respectively (p = 0.0002). At a cutoff value of 1.55, the sensitivity and specificity were 79.4% and 66.7%, respectively.
conclusionThe rTBF calculated from ASL imaging correlates well with tumor vascularity and may be useful for predicting HVSs before surgery.
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