| Literature DB >> 35774553 |
Kun Zhang1,2, Wei Ren2, Yu-Xue Sun2, Xin-Jun Wang1, Chao-Yue Li2, Zi-Liang Wang2, Tian-Xiao Li2, Bu-Lang Gao2.
Abstract
Purpose: To investigate the characteristics of cerebral perfusion and hemodynamics of bypass grafting in the treatment of moyamoya disease (MMD) using the iFlow color-coded flow map in comparison with magnetic resonance imaging-perfusion-weighted imaging (MRI-PWI) and computational fluid dynamic (CFD) analysis. Materials andEntities:
Keywords: bypass grafting; computational fluid dynamics; digital subtraction angiography; hemodynamic stresses; moyamoya disease
Year: 2022 PMID: 35774553 PMCID: PMC9239480 DOI: 10.3389/fnins.2022.922482
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 5.152
FIGURE 1After right superficial temporal artery-middle cerebral artery (STA-MCA) bypass grafting in one patient, no recurrence of stroke and transient ischemic attack was found at 4-month follow-up, and cerebral angiography showed that the bypass supplied blood to the brain. (A,B) Cerebral angiography before the bypass surgery was shown. (C,D) Mean transit time (C) and TTP (D) were shown before surgery in MRI-PWI. (E,F) Cerebral angiography after surgery. (G,H) Four months after surgery, the MTT (G) and TTP (H) were significantly improved.
The MRI–PWI perfusion parameters in MCA distribution area before and after vascular bypass grafting.
| Variables | Pre-surgery | Post-surgery | Statistical value |
|
| CBF (ml⋅100 g–1⋅min–1) | 38 (32.43–43.50) | 96.4 (77.50–101.51) | –4.35 | 0.000 |
| CBV (ml⋅100 g–1) | 4.28 ± 2.04 | 5.11 ± 2.51 | –1.28 | 0.194 |
| MTT | 5.85 ± 2.16 | 4.06 ± 2.05 | 3.01 | 0.005 |
| TTP | 18.59 ± 3.07 | 13.91 ± 3.65 | 4.91 | 0.000 |
| TTP difference | 14.40 ± 2.32 | 8.40 ± 3.75 | 6.80 | 0.000 |
MRI, magnetic resonance imaging; PWI, perfusion-weighted imaging; MCA, middle cerebral artery; CBF, cerebral blood flow; CBV, cerebral blood volume; MTT, mean transit time; TTP, time to peak; TTP difference, between proximal bifurcation of common carotid artery to sinus confluence.
FIGURE 2Pearson correlation in TTP between MRIPWI and iFlow outcome in patients with moyamoya.
FIGURE 3The iFlow color-coded blood flow map was constructed on DSA postoperative cerebral angiographic images. (A–D) Angiography through the external carotid artery showed warm color changes on the diseased side (A,B), similar to those on the contralateral side (C,D). (E,F) The time–density curve at the anastomosis and region of interest around the upper and lower trunk of the MCA showed that the contrast agent apparently disappeared at the anastomosis while the contrast agent peak value was significantly increased at the upper and lower trunk of the MCA. The interval from the upper or lower MCA trunk to the upper middle sagittal sinus was roughly the same.
FIGURE 4Distribution of hemodynamic stresses in and around the surgical bypass vessel after bypass surgery. (A–C) Distribution of wall shear stress (WSS) in and around the bypass vessel was shown. No abnormal increase was demonstrated in WSS in the bypass or the anastomosis, and the middle cerebral artery supply blood reversely without producing abnormal WSS. (D) The distribution of dynamic pressure was shown, with increased dynamic pressure around the anastomosis to promote blood flow distally, but the dynamic pressure was stable in the whole vessels. (E) The distribution of total pressure was shown in and around the bypass vessel. Proximal to the anastomosis, the total pressure was high to promote blood flow distally. A low total pressure was shown in the distal branches of the middle cerebral artery, beneficial to blood entering distal branches. The color scale represents the size of the value.