PURPOSE: Hypervascular 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. METHODS: A 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. RESULTS: The 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. CONCLUSION: The rTBF calculated from ASL imaging correlates well with tumor vascularity and may be useful for predicting HVSs before surgery.
PURPOSE:Hypervascular 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. METHODS: A 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. RESULTS: The 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. CONCLUSION: The rTBF calculated from ASL imaging correlates well with tumor vascularity and may be useful for predicting HVSs before surgery.
Authors: H Kimura; H Takeuchi; Y Koshimoto; H Arishima; H Uematsu; Y Kawamura; T Kubota; H Itoh Journal: AJNR Am J Neuroradiol Date: 2006-01 Impact factor: 3.825
Authors: Y Kai; J-I Hamada; M Morioka; S Yano; H Nakamura; K Makino; T Mizuno; H Takeshima; J-I Kuratsu Journal: AJNR Am J Neuroradiol Date: 2006-05 Impact factor: 3.825
Authors: B E Pollock; L D Lunsford; D Kondziolka; R Sekula; B R Subach; R L Foote; J C Flickinger Journal: J Neurosurg Date: 1998-12 Impact factor: 5.115
Authors: T Noguchi; T Yoshiura; A Hiwatashi; O Togao; K Yamashita; E Nagao; T Shono; M Mizoguchi; S Nagata; T Sasaki; S O Suzuki; T Iwaki; K Kobayashi; F Mihara; H Honda Journal: AJNR Am J Neuroradiol Date: 2008-01-09 Impact factor: 3.825