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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Hypoperfusion Intensity Ratio Correlates with Angiographic Collaterals and Infarct Growth in Acute Stroke with Thrombectomy

Author(s): Zhongping Ai, Liang Jiang, Boxiang Zhao, Haobo Su, Xindao Yin* and Yu-Chen Chen*

Volume 19, Issue 13, 2023

Published on: 14 February, 2023

Article ID: e230123213032 Pages: 9

DOI: 10.2174/1573405619666230123142657

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Abstract

Background: The assessment of collaterals before endovascular thrombectomy (EVT) therapy play a pivotal role in clinical decision-making for acute stroke patients.

Objective: To investigate the correlation between hypoperfusion intensity ratio (HIR), collaterals on digital subtraction angiography (DSA), and infarct growth in acute stroke patients who underwent EVT therapy.

Methods: Patients with acute ischemic stroke (AIS) who underwent EVT therapy were enrolled retrospectively. HIR was assessed through magnetic resonance imaging (MRI) and was defined as the Tmax > 10 s lesion volume divided by the Tmax > 6 s lesion volume. Collaterals were assessed on DSA using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) scale. Good collaterals were defined as ASITN/SIR score 3–4 and poor collaterals were defined as ASITN/SIR score 0–2. Spearman’s rank correlation analysis was used to evaluate the correlation between HIR, collaterals, infarct growth, and functional outcome.

Results: A total of 115 patients were included. Patients with good collateral (n = 59) had smaller HIR (0.29 ± 0.07 vs. 0.52 ± 0.14; t = 10.769, P < 0.001) and infarct growth (8.47 ± 2.40 vs. 14.37 ± 5.28; t = 7.652, P < 0.001) than those with poor collateral (n = 56).

Discussion: The ROC analyses showed that the optimal cut-off value of HIR was 0.40, and the sensitivity and specificity for predicting good collateral were 85.70% and 96.61%, respectively. With the optimal cut-off value, patients with HIR < 0.4 (n = 67) had smaller infarct growth (8.86 ± 2.59 vs. 14.81 ± 5.52; t = 6.944, P < 0.001) than those with HIR ≥ 0.4 (n = 48). Spearman’s rank correlation analysis showed that HIR had a correlation with ASITN/SIR score (r = -0.761, P < 0.001), infarct growth (r = 0.567, P < 0.001), and mRS at 3 months (r = -0.627, P < 0.001).

Conclusion: HIR < 0.4 is significantly correlated with good collateral status and small infarct growth. Evaluating HIR before treatment may be useful for guiding EVT and predicting the functional outcome of AIS patients.

Graphical Abstract

[1]
Wang A, Abramowicz AE. Endovascular thrombectomy in acute ischemic stroke. Curr Opin Anaesthesiol 2018; 31(4): 473-80.
[http://dx.doi.org/10.1097/ACO.0000000000000621] [PMID: 29794853]
[2]
Papanagiotou P, Ntaios G. Endovascular Thrombectomy in Acute Ischemic Stroke. Circ Cardiovasc Interv 2018; 11(1): e005362.
[http://dx.doi.org/10.1161/CIRCINTERVENTIONS.117.005362] [PMID: 29311286]
[3]
Berkhemer OA, Jansen IGH, Beumer D, et al. Collateral status on baseline computed tomographic angiography and intra-arterial treatment effect in patients with proximal anterior circulation stroke. Stroke 2016; 47(3): 768-76.
[http://dx.doi.org/10.1161/STROKEAHA.115.011788] [PMID: 26903582]
[4]
Menon BK, Qazi E, Nambiar V, et al. Differential effect of baseline computed tomographic angiography collaterals on clinical outcome in patients enrolled in the interventional management of stroke III Trial. Stroke 2015; 46(5): 1239-44.
[http://dx.doi.org/10.1161/STROKEAHA.115.009009] [PMID: 25791716]
[5]
Shiroto H, Tomita H, Hagii J, et al. Corrigendum for “Impact of Atrial Natriuretic Peptide Value for Predicting Paroxysmal Atrial Fibrillation in Ischemic Stroke Patients” [J Stroke Cerebrovasc Dis. 2017;26:772-778]. J Stroke Cerebrovasc Dis 2018; 27(1): 276.
[http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2017.10.004] [PMID: 29103859]
[6]
Bang OY, Saver JL, Kim SJ, et al. Collateral flow averts hemorrhagic transformation after endovascular therapy for acute ischemic stroke. Stroke 2011; 42(8): 2235-9.
[http://dx.doi.org/10.1161/STROKEAHA.110.604603] [PMID: 21737798]
[7]
Semerano A, Laredo C, Zhao Y, et al. Leukocytes, collateral circulation, and reperfusion in ischemic stroke patients treated with mechanical thrombectomy. Stroke 2019; 50(12): 3456-64.
[http://dx.doi.org/10.1161/STROKEAHA.119.026743] [PMID: 31619153]
[8]
Leng X, Fang H, Leung TWH, et al. Impact of collaterals on the efficacy and safety of endovascular treatment in acute ischaemic stroke: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2016; 87(5): 537-44.
[http://dx.doi.org/10.1136/jnnp-2015-310965] [PMID: 26063928]
[9]
Jansen IGH, Mulder MJHL, Goldhoorn RJB, et al. Impact of single phase CT angiography collateral status on functional outcome over time: Results from the MR CLEAN Registry. J Neurointerv Surg 2019; 11(9): 866-73.
[http://dx.doi.org/10.1136/neurintsurg-2018-014619] [PMID: 30777890]
[10]
Longo M, Bernava G, Calamuneri A, et al. MRI patient selection for endovascular thrombectomy in acute ischemic stroke: correlation between pretreatment diffusion weighted imaging and outcome scores. Radiol Med (Torino) 2018; 123(8): 609-17.
[http://dx.doi.org/10.1007/s11547-018-0887-2] [PMID: 29663187]
[11]
Ryu CW, Kim BM, Kim HG, et al. Optimizing outcome prediction scores in patients undergoing endovascular thrombectomy for large vessel occlusions using collateral grade on computed tomography angiography. Neurosurgery 2019; 85(3): 350-8.
[http://dx.doi.org/10.1093/neuros/nyy316] [PMID: 30010973]
[12]
Grunwald IQ, Kulikovski J, Reith W, et al. Collateral automation for triage in stroke: Evaluating automated scoring of collaterals in acute stroke on computed tomography scans. Cerebrovasc Dis 2019; 47(5-6): 217-22.
[http://dx.doi.org/10.1159/000500076] [PMID: 31216543]
[13]
Heit JJ, Zaharchuk G, Wintermark M. Advanced neuroimaging of acute ischemic stroke. Neuroimaging Clin N Am 2018; 28(4): 585-97.
[http://dx.doi.org/10.1016/j.nic.2018.06.004] [PMID: 30322595]
[14]
Jansen IGH, Berkhemer OA, Yoo AJ, et al. Comparison of CTA- and DSA-based collateral flow assessment in patients with anterior circulation stroke. AJNR Am J Neuroradiol 2016; 37(11): 2037-42.
[http://dx.doi.org/10.3174/ajnr.A4878] [PMID: 27418474]
[15]
Ben Hassen W, Malley C, Boulouis G, et al. Inter- and intraobserver reliability for angiographic leptomeningeal collateral flow assessment by the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) scale. J Neurointerv Surg 2019; 11(4): 338-41.
[http://dx.doi.org/10.1136/neurintsurg-2018-014185] [PMID: 30131382]
[16]
Olivot JM, Mlynash M, Inoue M, et al. Hypoperfusion intensity ratio predicts infarct progression and functional outcome in the DEFUSE 2 Cohort. Stroke 2014; 45(4): 1018-23.
[http://dx.doi.org/10.1161/STROKEAHA.113.003857] [PMID: 24595591]
[17]
Bang OY, Saver JL, Alger JR, Starkman S, Ovbiagele B, Liebeskind DS. Determinants of the distribution and severity of hypoperfusion in patients with ischemic stroke. Neurology 2008; 71(22): 1804-11.
[http://dx.doi.org/10.1212/01.wnl.0000335929.06390.d3] [PMID: 19029520]
[18]
Guenego A, Fahed R, Albers GW, et al. Hypoperfusion intensity ratio correlates with angiographic collaterals in acute ischaemic stroke with M1 occlusion. Eur J Neurol 2020; 27(5): 864-70.
[http://dx.doi.org/10.1111/ene.14181] [PMID: 32068938]
[19]
Guenego A, Mlynash M, Christensen S, et al. Hypoperfusion ratio predicts infarct growth during transfer for thrombectomy. Ann Neurol 2018; 84(4): 616-20.
[http://dx.doi.org/10.1002/ana.25320] [PMID: 30168180]
[20]
Powers WJ, Rabinstein AA, Ackerson T, et al. Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2019; 50(12): e344-418.
[http://dx.doi.org/10.1161/STR.0000000000000211] [PMID: 31662037]
[21]
Al Khathaami AM, Al Bdah B, Alnosair A, et al. Predictors of poor outcome in embolic stroke of undetermined source. Neurosciences 2019; 24(3): 164-7.
[http://dx.doi.org/10.17712/nsj.2019.3.20190005] [PMID: 31380814]
[22]
Higashida RT, Furlan AJ, Roberts H, et al. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke. Stroke 2003; 34(8): e109-37.
[http://dx.doi.org/10.1161/01.STR.0000082721.62796.09] [PMID: 12869717]
[23]
Singer OC, Berkefeld J, Nolte CH, et al. Collateral vessels in proximal middle cerebral artery occlusion: the ENDOSTROKE study. Radiology 2015; 274(3): 851-8.
[http://dx.doi.org/10.1148/radiol.14140951] [PMID: 25559232]
[24]
Arenillas JF, Cortijo E, García-Bermejo P, et al. Relative cerebral blood volume is associated with collateral status and infarct growth in stroke patients in SWIFT PRIME. J Cereb Blood Flow Metab 2018; 38(10): 1839-47.
[http://dx.doi.org/10.1177/0271678X17740293] [PMID: 29135347]
[25]
Liebeskind DS, Woolf GW, Shuaib A. Collaterals 2016: Translating the collaterome around the globe. Int J Stroke 2017; 12(4): 338-42.
[http://dx.doi.org/10.1177/1747493017701942] [PMID: 28345431]
[26]
Guenego A, Marcellus DG, Martin BW, et al. Hypoperfusion intensity ratio is correlated with patient eligibility for thrombectomy. Stroke 2019; 50(4): 917-22.
[http://dx.doi.org/10.1161/STROKEAHA.118.024134] [PMID: 30841821]
[27]
Campbell BCV, Majoie CBLM, Albers GW, et al. Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: A meta-analysis of individual patient-level data. Lancet Neurol 2019; 18(1): 46-55.
[http://dx.doi.org/10.1016/S1474-4422(18)30314-4] [PMID: 30413385]
[28]
Demeestere J, Scheldeman L, Cornelissen SA, et al. Alberta stroke program early CT score versus computed tomographic perfusion to predict functional outcome after successful reperfusion in acute ischemic stroke. Stroke 2018; 49(10): 2361-7.
[http://dx.doi.org/10.1161/STROKEAHA.118.021961] [PMID: 30355098]

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