| Literature DB >> 35154622 |
Weijian Fan1,2, Weihao Shi2, Jianjie Rong3, Wencheng Guo2, Shuangshuang Lu4, Jinyun Tan2, Bo Yu1.
Abstract
Normally, ipsilateral hemodynamic compromise of patients with carotid stenosis (CS) is subjectively identified by collateral circulation through cerebral angiography in the clinical process. It is unclear whether collaterals would linearly determine cerebral perfusion in CS patients. This study aimed to investigate the independent role of collateral circulation on cerebral perfusion in CS patients and the underlying interrelations among them. From 2017 to 2020, 124 CS patients who underwent carotid endarterectomy (CEA) with both preoperative CTP and digital substruction angiography (DSA) images were enrolled. Division of subgroups was based on degree of CS (50-70%, 70-90%, and near-occlusion (NO)) and grades of collateral circulation by DSA. Differences in CTP parameters between CS patients with different collateral circulation were analyzed. Among 124 CS patients, grades 2 and 3 were highly associated with carotid NO (n = 22, 32.35% and n = 22, 32.35%) compared with others (P < 0.0001). The collateral circulation was found to have poor relation with cerebral perfusion parameters in all enrolled patients but significantly improved ipsilateral cerebral perfusion in patients with carotid NO (P < 0.05). Linear hemodynamic compromise was barely related to degree of CS in lobes supplied by middle cerebral artery (MCA) except the frontal lobe (P < 0.05). The grades of collateral circulation are positively associated with degree of CS while having nonsignificant effect on cerebral perfusion. Overall, severity of CS is poorly related to hemodynamic status while the perfectibility of compensation defined by grades of collateral circulation effectively alleviates ipsilateral cerebral perfusion deficit in carotid NO.Entities:
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Year: 2022 PMID: 35154622 PMCID: PMC8828319 DOI: 10.1155/2022/8484977
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Figure 1DSA in patients with ipsilateral sided carotid stenosis showing collateral circulation from contralateral carotid artery injection. (a) Grade 1 indicates no or slight collateral distribution, often with dilution; (b) Grade 2 indicates small but definite collateral supply; (c) Grade 3 indicates near complete collateral with cross-filling of the ipsilateral middle cerebral artery after contralateral carotid injection; (d) illustrated the image of carotid NO: as grey arrow points, significant stenosis of ICA bifurcation with poor antegrade blood flow; (E) the grey arrows show the reduced diameter of the ICA without full collapse and delayed cranial arrival of ICA.
Baseline characteristics of the study population (n = 124).
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| Age1, years | 68.26 ± 8.36 |
| Male | 102 (82.25%) |
| Left side | 68 (54.84%) |
| Previous stroke | 18 (14.52%) |
| Aspirin | 107 (86.29%) |
| Clopidogrel | 86 (69.35%) |
| Warfarin | 10 (8.06%) |
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| 50–70% | 21 (16.94%) |
| 70–90% | 35 (28.23%) |
| Near-occlusion | 68 (54.84%) |
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| Ischemic heart disease | 26 (20.97%) |
| Diabetes mellitus | 32 (25.81%) |
| Hyperlipidemia | 44 (35.48%) |
| Hypertension | 91 (73.39%) |
| Tobacco abuse | 49 (39.52%) |
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| Grade 1 | 74 (59.68%) |
| Grade 2 | 27 (21.77%) |
| Grade 3 | 23 (18.55%) |
TIA: transient ischemia attack. Values denote numbers unless specified otherwise. 1Mean ± SD with range in parenthesis.
Correlation between cerebral CTP parameters and collateral circulation in selected ROIs.
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| Frontal lobe | 1.094 ± 0.378 | 1.122 ± 0.429 | 1.133 ± 0.512 | 0.926 |
| Basal ganglia | 1.061 ± 0.360 | 1.057 ± 0.413 | 1.052 ± 0.408 | 0.996 |
| Temporal lobe | 1.158 ± 0.450 | 1.077 ± 0.449 | 1.218 ± 0.528 | 0.533 |
| Occipital lobe | 1.065 ± 0.291 | 1.172 ± 0.520 | 1.047 ± 0.230 | 0.381 |
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| Frontal lobe | 1.000 ± 0.334 | 1.113 ± 0.759 | 1.042 ± 0.241 | 0.621 |
| Basal ganglia | 1.006 ± 0.291 | 0.953 ± 0.291 | 1.038 ± 0.221 | 0.592 |
| Temporal lobe | 0.999 ± 0.295 | 0.839 ± 0.293 | 1.107 ± 0.441 | 0.344 |
| Occipital lobe | 1.033 ± 0.539 | 1.226 ± 0.894 | 1.122 ± 0.323 | 0.419 |
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| Frontal lobe | 1.251 ± 1.005 | 1.299 ± 1.243 | 1.052 ± 0.375 | 0.720 |
| Basal ganglia | 1.114 ± 0.424 | 1.107 ± 0.382 | 1.055 ± 0.486 | 0.865 |
| Temporal lobe | 1.247 ± 0.570 | 1.178 ± 0.341 | 1.099 ± 0.419 | 0.514 |
| Occipital lobe | 1.122 ± 0.393 | 1.049 ± 0.393 | 1.037 ± 0.317 | 0.565 |
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| Frontal lobe | 1.024 ± 0.075 | 1.045 ± 0.095 | 1.039 ± 0.085 | 0.959 |
| Basal ganglia | 1.024 ± 0.106 | 1.068 ± 0.251 | 1.004 ± 0.079 | 0.318 |
| Temporal lobe | 1.119 ± 0.271 | 1.059 ± 0.129 | 1.010 ± 0.085 | 0.058 |
| Occipital lobe | 1.058 ± 0.098 | 1.042 ± 0.076 | 1.018 ± 0.083 | 0.238 |
All data are means ± SE. Note: ROI: region of interest; rCBV: relative cerebral blood volume; rCBF: relative cerebral blood flow; rMTT: relative mean transit time; rTTP: relative time to peak. P < 0.05.
Correlation between degree of carotid stenosis and collateral circulation.
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| Grade 1 | 19 (90.48%) | 25 (71.43%) | 24 (35.29%) | <0.0001 |
| Grade 2 | 1 (4.76%) | 7 (20.00%) | 22 (32.35%) | |
| Grade 3 | 1 (4.76%) | 3 (8.57%) | 22 (32.35%) |
Note: chi-square test. P < 0.05; P < 0.01; P < 0.0001.
Figure 2Relation between the degree of carotid stenosis and the collateral circulation grades. Chi-square test. P < 0.05; P < 0.01; P < 0.0001.
Correlation between cerebral CTP parameters and degree of carotid stenosis in selected ROIs.
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| Frontal lobe | 1.033 ± 0.152 | 1.090 ± 0.292 | 1.235 ± 0.291 | 0.037∗ |
| Basal ganglia | 1.027 ± 0.382 | 1.084 ± 0.342 | 1.144 ± 0.308 | 0.255 |
| Temporal lobe | 1.035 ± 0.422 | 1.374 ± 0.513 | 1.362 ± 0.919 | 0.331 |
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| Frontal lobe | 0.994 ± 0.070 | 1.021 ± 0.076 | 1.054 ± 0.084 | 0.026∗ |
| Basal ganglia | 0.981 ± 0.075 | 1.048 ± 0.137 | 1.034 ± 0.072 | 0.065 |
| Temporal lobe | 0.994 ± 0.099 | 1.018 ± 0.059 | 1.044 ± 0.076 | 0.158 |
All data are means ± SE. Note: ROIs: regions of interest; rMTT: relative mean transit time; rTTP: relative time to peak. P < 0.05.
Comparison between cerebral perfusion and collateral circulation in patients with carotid near-occlusion.
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| rCBF | 1.09 ± 0.34 | 0.95 ± 0.25 | 1.00 ± 0.28 | 0.349 |
| rMTT | 1.07 ± 0.38 | 0.99 ± 0.26 | 1.03 ± 0.29 | 0.729 |
| rTTP | 1.07 ± 0.22 | 1.06 ± 0.13 | 1.05 ± 0.24 | 0.917 |
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| rCBF | 0.90 ± 0.22 | 0.95 ± 0.28 | 1.01 ± 0.25 | 0.322 |
| rMTT | 1.21 ± 0.28 | 1.07 ± 0.29 | 0.96 ± 0.29 | 0.024∗ |
| rTTP | 1.13 ± 0.15 | 1.06 ± 0.13 | 1.02 ± 0.13 | 0.040∗ |
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| rCBF | 1.08 ± 0.25 | 1.02 ± 0.23 | 0.99 ± 0.24 | 0.449 |
| rMTT | 1.08 ± 0.21 | 1.03 ± 0.20 | 1.02 ± 0.16 | 0.525 |
| rTTP | 1.10 ± 0.10 | 1.05 ± 0.09 | 1.03 ± 0.08 | 0.047∗ |
All data are means ± SE. Note: ROIs: regions of interest; rCBF: relative cerebral blood flow; rMTT: relative mean transit time; rTTP: relative time to peak. P < 0.05.