Why the study?
Internal carotid artery stenosis can potentially decrease perfusion pressure to the brain, but whether hemispheric pressure laterality exists between the contra- and ipsilateral middle cerebral artery and relates to hemispheric flow laterality was unknown.
Does middle cerebral artery pressure laterality calculated by computational fluid dynamics correlate with hemispheric flow laterality in patients with symptomatic ICA stenosis?
Does middle cerebral artery pressure laterality calculated by computational fluid dynamics correlate with hemispheric flow laterality in patients with symptomatic ICA stenosis?
Middle cerebral artery pressure laterality derived from computational fluid dynamics correlates strongly with flow laterality, suggesting its potential as a physiological biomarker for grading hemodynamic disturbance in symptomatic ICA stenosis.
MCA pressure differences may identify hemodynamic biomarkers in ICA stenosis; leaves open prospective validation before clinical adoption.
An internal carotid artery (ICA) stenosis can potentially decrease the perfusion pressure to the brain. In this study, computational fluid dynamics (CFD) was used to study if there was a hemispheric pressure laterality between the contra- and ipsilateral middle cerebral artery (MCA) in patients with a symptomatic ICA stenosis. We further investigated if this MCA pressure laterality (ΔPMCA) was related to the hemispheric flow laterality (ΔQ) in the anterior circulation, i.e., ICA, proximal MCA and the proximal anterior cerebral artery (ACA). Twenty-eight patients (73±6 years, range 59-80 years, 21 men) with symptomatic ICA stenosis were included. Flow rates were measured using 4D flow MRI data (PC-VIPR) and vessel geometries were obtained from computed tomography angiography. The ΔPMCA was calculated from CFD, where patient-specific flow rates were applied at all input- and output boundaries. The ΔPMCA between the contra- and ipsilateral side was 6.4±8.3 mmHg (p<0.001) (median 3.9 mmHg, range -1.3 to 31.9 mmHg). There was a linear correlation between the ΔPMCA and ΔQICA (r = 0.85, p<0.001) and ΔQACA (r = 0.71, p<0.001), respectively. The correlation to ΔQMCA was weaker (r = 0.47, p = 0.011). In conclusion, the MCA pressure laterality obtained with CFD, is a promising physiological biomarker that can grade the hemodynamic disturbance in patients with a symptomatic ICA stenosis.
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Holmgren et al. (2021) studied this question.
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