X Ge1, H Zhao1, Z Zhou1, X Li1, B Sun1, H Wu2, J Wan3, J Xu1, J P Villablanca4, X Liu5. 1. From the Departments of Radiology (X.G., H.Z., Z.Z., X. Li, B.S., J.X., X. Liu). 2. Neurology (H.W.). 3. Neurosurgery (J.W.), Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China. 4. Department of Radiological Sciences and Neurosurgery (J.P.V.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California. 5. From the Departments of Radiology (X.G., H.Z., Z.Z., X. Li, B.S., J.X., X. Liu) miaxiaosheng@gmail.com.
Abstract
BACKGROUND AND PURPOSE: Fractional flow measured on 3D-TOF-MRA was proposed to quantify cerebral hemodynamic changes in patients with artery stenosis. We investigated the association between fractional flow and cerebral perfusion changes in patients with symptomatic MCA stenosis. MATERIALS AND METHODS: This prospective study was approved by the institutional review board, and all participants provided written informed consent. From June 2015 to May 2018, four hundred twenty-nine patients with symptomatic intracranial arterial stenosis were consecutively recruited and underwent conventional brain MR imaging, 3D-TOF-MRA, and brain CTP. A total of 91 patients with unilateral M1 segment stenosis of the MCA and a stenosis degree of 50%∼99% were included in the analysis. Fractional flow was measured by comparing distal and proximal signal intensity changes across the stenosis on 3D-TOF-MRA. The cutoff value for fractional flow for discriminating between normal perfusion and hypoperfusion was obtained from the receiver operating characteristic curve. Associations between fractional flow and hypoperfusion were assessed using univariate and multivariate analyses. RESULTS: The receiver operating characteristic curve showed a significant fractional flow threshold value at 0.90 (sensitivity, 70.1%; 95% CI, 55.9%-81.2%; specificity, 69.6%; 95% CI, 47.6%-84.1%). Participants with a fractional flow of ≤0.90 were independently associated with cerebral hypoperfusion downstream from the stenosis site (adjusted OR, 3.68; 95% CI, 1.63-11.62; P = .027). CONCLUSIONS: Fractional flow measured on 3D-TOF-MRA may serve as a noninvasive and practical tool for determining the cerebral hypoperfusion in patents with symptomatic MCA stenosis.
BACKGROUND AND PURPOSE: Fractional flow measured on 3D-TOF-MRA was proposed to quantify cerebral hemodynamic changes in patients with artery stenosis. We investigated the association between fractional flow and cerebral perfusion changes in patients with symptomatic MCA stenosis. MATERIALS AND METHODS: This prospective study was approved by the institutional review board, and all participants provided written informed consent. From June 2015 to May 2018, four hundred twenty-nine patients with symptomatic intracranial arterial stenosis were consecutively recruited and underwent conventional brain MR imaging, 3D-TOF-MRA, and brain CTP. A total of 91 patients with unilateral M1 segment stenosis of the MCA and a stenosis degree of 50%∼99% were included in the analysis. Fractional flow was measured by comparing distal and proximal signal intensity changes across the stenosis on 3D-TOF-MRA. The cutoff value for fractional flow for discriminating between normal perfusion and hypoperfusion was obtained from the receiver operating characteristic curve. Associations between fractional flow and hypoperfusion were assessed using univariate and multivariate analyses. RESULTS: The receiver operating characteristic curve showed a significant fractional flow threshold value at 0.90 (sensitivity, 70.1%; 95% CI, 55.9%-81.2%; specificity, 69.6%; 95% CI, 47.6%-84.1%). Participants with a fractional flow of ≤0.90 were independently associated with cerebral hypoperfusion downstream from the stenosis site (adjusted OR, 3.68; 95% CI, 1.63-11.62; P = .027). CONCLUSIONS: Fractional flow measured on 3D-TOF-MRA may serve as a noninvasive and practical tool for determining the cerebral hypoperfusion in patents with symptomatic MCA stenosis.
Authors: Bijoy K Menon; Christopher D d'Esterre; Emmad M Qazi; Mohammed Almekhlafi; Leszek Hahn; Andrew M Demchuk; Mayank Goyal Journal: Radiology Date: 2015-01-29 Impact factor: 11.105
Authors: Lisa M Jongen; Jeroen Hendrikse; Frans L Moll; Willem P T M Mali; H Bart van der Worp Journal: Cerebrovasc Dis Date: 2010-04-08 Impact factor: 2.762
Authors: Xinyi Leng; Hing Lung Ip; Yannie Soo; Thomas Leung; Liping Liu; Edward Feldmann; Ka Sing Wong; David S Liebeskind Journal: J Stroke Cerebrovasc Dis Date: 2013-09-25 Impact factor: 2.136
Authors: Linfang Lan; Xinyi Leng; Vincent Ip; Thomas Leung; Yannie Soo; Jill Abrigo; Ka Sing Wong Journal: Curr Neurovasc Res Date: 2017 Impact factor: 1.990