Frequency, Determinants, and Outcomes of Emboli to Distal and New Territories Related to Mechanical Thrombectomy for Acute Ischemic Stroke
Graphical Abstract
Abstract
Background and Purpose:
Clot fragmentation and distal embolization during endovascular thrombectomy for acute ischemic stroke may produce emboli downstream of the target occlusion or in previously uninvolved territories. Susceptibility-weighted magnetic resonance imaging can identify both emboli to distal territories (EDT) and new territories (ENT) as new susceptibility vessel signs (SVS). Diffusion-weighted imaging (DWI) can identify infarcts in new territories (INT).
Methods:
We studied consecutive acute ischemic stroke patients undergoing magnetic resonance imaging before and after thrombectomy. Frequency, predictors, and outcomes of EDT and ENT detected on gradient-recalled echo imaging (EDT-SVS and ENT-SVS) and INT detected on DWI (INT-DWI) were analyzed.
Results:
Among 50 thrombectomy-treated acute ischemic stroke patients meeting study criteria, mean age was 70 (±16) years, 44% were women, and presenting National Institutes of Health Stroke Scale score 15 (interquartile range, 8–19). Overall, 21 of 50 (42%) patients showed periprocedural embolic events, including 10 of 50 (20%) with new EDT-SVS, 10 of 50 (20%) with INT-DWI, and 1 of 50 (2%) with both. No patient showed ENT-SVS. On multivariate analysis, model-selected predictors of EDT-SVS were lower initial diastolic blood pressure (odds ratio, 1.09 [95% CI, 1.02–1.16]), alteplase pretreatment (odds ratio, 5.54 [95% CI, 0.94–32.49]), and atrial fibrillation (odds ratio, 7.38 [95% CI, 1.02–53.32]). Classification tree analysis identified pretreatment target occlusion SVS as an additional predictor. On univariate analysis, INT-DWI was less common with internal carotid artery (5%), intermediate with middle cerebral artery (25%), and highest with vertebrobasilar (57%) target occlusions (P=0.02). EDT-SVS was not associated with imaging/functional outcomes, but INT-DWI was associated with reduced radiological hemorrhagic transformation (0% versus 54%; P<0.01).
Conclusions:
Among acute ischemic stroke patients treated with thrombectomy, imaging evidence of distal emboli, including EDT-SVS beyond the target occlusion and INT-DWI in novel territories, occur in about 2 in every 5 cases. Predictors of EDT-SVS are pretreatment intravenous fibrinolysis, potentially disrupting thrombus structural integrity; atrial fibrillation, possibly reflecting larger target thrombus burden; lower diastolic blood pressure, suggestive of impaired embolic washout; and pretreatment target occlusion SVS sign, indicating erythrocyte-rich, friable target thrombus.
Introduction
Endovascular thrombectomy (EVT) is now a well-established therapy of proven benefit for acute ischemic stroke (AIS) due to large vessel occlusion.1 However, despite high rates of recanalization of target occlusions with EVT, excellent, nondisabled outcomes are achieved in only a minority of patients.2 Clot fragmentation and distal embolization during extraction is a known complication of EVT that may unfavorably influence clinical outcome. However, the frequency, determinants, and outcomes of distal embolization during EVT is poorly characterized.
Distal embolization of fragmented target thrombi was categorized into 2 broad classes in a recent international consensus statement: (1) emboli to new territory (ENT) and (2) emboli to distal territory (EDT).3 With ENT, emboli typically escape after having been pulled below the initial target occlusion vessel and enter a new arterial territory not previously exposed to ischemia. A common example is new anterior cerebral artery embolic occlusion after EVT for a target middle cerebral artery occlusion. With EDT, emboli escape typically during device engagement with the clot in the initial target vessel and travel to more distant branch vessels. EDTs cause persisting or intensified ischemia in brain regions already exposed to ischemia from the initial occlusion.
To date, studies of embolization during EVT have predominantly used digital subtraction angiography (DSA) and magnetic resonance (MR) diffusion-weighted imaging (DWI) to detect distal emboli, but these techniques have important limitations. For ENT, catheter angiography may not always reliably distinguish when a vessel cutoff reflects distal embolus versus competitive hemodynamic flow patterns or vasospasm, and DWI only identifies emboli that produce cerebral infarction, rather than the full spectrum of emboli that may also cause subinfarctive ischemia. For EDT, DSA and DWI are even less informative. DSA generally cannot distinguish whether a distal vessel occlusion (DVO) in the target territory is a preexisting thrombus that was present at that site before the procedure versus a new embolic thrombus to that site that occurred during the procedure. Also, strict immobilization is needed to recognize distal emboli that are more difficult to discern than proximal emboli. Similarly, DWI cannot distinguish when ischemic injury occurred in a distal branch territory as a result of ischemia caused by the initial target occlusion or a later EVT-related embolus.
Susceptibility-weighted MR imaging (MRI) techniques have several advantages as a method to visualize distal emboli after EVT, especially EDT not well characterized by other techniques. Gradient-recalled echo (GRE) MR sequences directly visual distal emboli, evident as blooming artifacts within distal vessels, permitting differentiation from vasospasm and hemodynamic flow cutoffs and recognition of DVOs not leading to infarction. In addition, comparison of pre- and postprocedural images enables distinction of distal emboli present before the procedure from emboli occurring during the procedure. We, therefore, used serial GRE-MRI to investigate the frequency, determinants, and outcomes of patients with EVT-related emboli.
Methods
Data, Materials, and Code Disclosure Statement
Data that support the findings of this study are available from the corresponding author upon reasonable request.
Patients
We analyzed consecutive patients in a prospectively collected registry of AIS patients treated with EVT at an academic comprehensive stroke center. Study entry criteria were (1) AIS due to intracranial large vessel occlusion, (2) treatment with EVT, and (3) MR imaging both pre- and post-intervention, with postintervention study performed within 48 hours of procedure end. Demographic, medical history, presenting features, and clinical outcome data were abstracted uniformly for each patient. The study was approved by the UCLA Institutional Review Board with waiver of informed consent due to analysis of routinely collected clinical information.
Image Acquisition and Analysis
Throughout the study period, at the thrombectomy center, MRI was the preferred initial imaging modality for AIS patients without MR contraindications, if immediately available. In addition, among patients undergoing EVT, clinical protocol was to obtain follow-up MRI scans at 3 and 24 hours post-treatment to evaluate infarct and penumbra evolution and hemorrhagic transformation. At all 3 time points, the default acquisition protocol included DWI, GRE, T2 fluid-attenuated inversion recovery, contrast-enhanced or time-of-flight MR angiogram, and perfusion-weighted imaging sequences. For scanner and acquisition settings, see Methods in the Data Supplement.4
New post-treatment emboli were identified in a direct manner on follow-up GRE as focal tubular or dot-like hypointensities within a cerebral artery, not evident on baseline GRE (Figure 1), and categorized as appearing in a previously involved vascular tree (emboli to distal territory – susceptibility vessel sign [EDT-SVS]) or uninvolved vascular tree (emboli to new territory – susceptibility vessel sign (ENT-SVS). Additional new post-treatment emboli were identified in an indirect manner, via the ischemic injury they produced, as post-treatment DWI-evident infarcts in a new territory (INT), defined as novel ischemic lesions in an arterial field outside the territory of the initial target occlusion. Follow-up MR scans were also analyzed for any hemorrhagic transformation and for blood-brain barrier disruption, evidenced by the hyperacute injury marker sign.5
Preintervention DSA images were used to assess target occlusion location and grade collateral robustness using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology collateral score.6
Reperfusion was assessed using the modified Thrombolysis in Cerebral Infarction scale.7 In exploratory analysis, end-of-intervention DSA images were analyzed to assess the presence or potential presence of angiographically evident DVOs in the target artery. DVO (DVO-DSA) was defined as ≥1 abrupt vessel cutoffs in fields beyond the initial target occlusion.
Outcomes
Infarct volumes in patients with anterior circulation involvement were assessed using the Alberta Stroke Program Early CT Score.8 The primary clinical efficacy end point was the modified Rankin Scale of global disability at discharge. Primary safety outcomes were symptomatic intracranial hemorrhage and mortality. Modified Rankin Scale and mortality at 90 days were also assessed but in exploratory fashion due to expected higher missingness rates in a registry dataset.
Statistical Analysis
The association of emboli with binary variables was assessed with Fisher exact test and with categorical variables with the χ2 test. Associations with continuous and ordinal variables were assessed using the Student t or Mann-Whitney U tests, respectively. Two models were developed to identify independent contributors to distal emboli: a multiple logistic regression model and a classification and regression tree. Given the overall sample size, candidate variables for the models were restricted to 5, selected based on the strength of association in univariate analysis and clinical relevance per expert judgement. In the multivariate regression model, these variables were entered into a backward logistic regression analysis. A stepwise method was used to avoid collinearity because redundant variables were omitted. The classification and regression tree analysis used the same 5 candidate variables, using the binary recursive partition model.9 For both models, accuracy statistics were computed to assess model performance, including the area under the receiver operating characteristic curve, sensitivity, specificity, and overall accuracy at the Youden index cut point. Significance level was set at P=0.05. For C statistic scores, scale performance was considered: excellent, 0.80 to 1.00; good, 0.70 to 0.79; fair, 0.60 to 0.69; and poor, 0.50 to 0.59.
Results
Among the 50 patients meeting study entry criteria, mean age was 70 (±16) years, 44% were women, and median National Institutes of Health Stroke Scale score 15 (interquartile range [IQR], 8–19). Time from last known well to arterial puncture was median 6 hours 41 minutes (IQR, 4 hours 4 minutes to 10 hours 38 minutes). All patients were treated with stent retrievers, aspiration thrombectomy, or both, including stent retrievers alone in 70%, aspiration alone in 8%, and stent retriever and aspiration in 22%. In 20% of patients, additional endovascular recanalization techniques were also used, including intracranial angioplasty without stenting in 2%, cervical angioplasty/stenting in 14%, and wire maceration in 4%. Substantial reperfusion (modified Thrombolysis in Cerebral Infarction score 2b-3) was achieved in 84%.
Pretreatment MRIs were performed a median 58.5 minutes (IQR, 45–73) before arterial puncture. Post-treatment MRIs were obtained at 2 time points in 84% of patients and 1 time point in 16%. Puncture-to-first-post-treatment-MRI time was median 6 hours 2 minutes (IQR, 4 hours 51 minutes to 8 hours 32 minutes). Puncture-to-second-post-treatment-MRI time was median 25 hours 41 minutes (IQR, 23 hours 45 minutes to 27 hours 14 minutes).
New emboli evident on postprocedure GRE were present in 22% (11 of 50) patients. All of the GRE-evident emboli were in the field of the initial target occlusion (EDT) and none in a new arterial territory (ENT; example in Figure 1). Among patients with EDT-SVS, the emboli were single in 91% and multiple in 9%. Among the 12 total EDT-SVS, 33% were associated with new diffusion abnormalities in fields supplied by the compromised distal artery, 25% were in distal arteries supplying tissues that already evidenced ischemic diffusion abnormalities before the thrombectomy procedure, and 42% were not associated with diffusion abnormalities. Patients with GRE-MRI EDT-SVS nominally but nonsignificantly more often had DVOs evident on end-of-procedure catheter angiography, 82% (9 of 11) versus 56% (22 of 39; P=0.13).
Diffusion abnormalities in new territories were found in 11 (22%) patients, including 7 patients with 1 INT-DWI, 2 with 2, 1 with 4, and 1 with 5 (example in Figure 2). Detailed anatomic locations of the INT-DWIs are shown in Table I in the Data Supplement. Among the 7 anterior circulation patients with INT-DWI, INT were ipsilateral to the target occlusion in 3, contralateral in 3, and bilateral in 1. Among 4 posterior circulation patients with INT-DWI, INTs were located in vascular territories proximal to the target occlusion in 3 and in the anterior circulation in 1.
Patient Characteristics Associated With EDT
Demographic, clinical, and procedural characteristics of patients with and without EDT-SVS are shown in Table 1. In univariate analysis, features associated with EDT-SVS were (1) lower diastolic blood pressure (DBP), (2) internal carotid artery target occlusion, and (3) treatment with intravenous tPA (tissue-type plasminogen activator). EVT with both stent retrievers and aspiration, rather than single device type, showed a nonsignificant trend toward association with EDT-SVS.
No EDT-SVS | EDT-SVS | P value | No INT-DWI | INT-DWI | P value | |
---|---|---|---|---|---|---|
n | 39 | 11 | 39 | 11 | ||
Age, y; mean±SD | 70±14 | 72±21 | 0.71 | 71±17 | 69±15 | 0.17 |
Male sex, n (%) | 23 (59%) | 5 (45%) | 0.50 | 21 (55%) | 7 (58%) | 0.73 |
Baseline NIHSS | ||||||
Mean±SD | 13.8±6.2 | 12.7±8.6 | 0.64 | 14.3±6.4 | 11.2±7.6 | 0.18 |
Median (IQR) | 15 (9.5–18.5) | 16 (4.5–19) | 15.0 (10.0–18.5) | 11.0 (5.5–17.5) | 0.23 | |
ED BP (mean±SD) | ||||||
Systolic | 153.3±27.8 | 136.4±33.3 | 0.09 | 148.4±28.5 | 153.7±34.2 | 0.60 |
Diastolic | 87.3±17.6 | 67.1±16.2 | <0.01 | 81.7±20.4 | 86.9±13.5 | 0.43 |
ED blood glucose, mg/dL; mean±SD | 147.6±55.4 | 140.7±40.4 | 0.70 | 151.0±54.7 | 128.7±39.3 | 0.21 |
Medical history, n (%) | ||||||
Hypertension | 27 (69%) | 7 (64%) | 0.73 | 25 (64%) | 9 (82%) | 0.47 |
Diabetes | 12 (31%) | 3 (27%) | 1.0 | 12 (31%) | 3 (27%) | 1.0 |
Dyslipidemia | 13 (33%) | 5 (45%) | 0.50 | 13 (33%) | 5 (45%) | 0.49 |
Atrial fibrillation | 6 (15%) | 4 (36%) | 0.20 | 7 (18%) | 3 (27%) | 0.67 |
Coronary artery disease | 8 (21%) | 0 (0%) | 0.17 | 4 (10%) | 4 (36%) | 0.06 |
Prior ischemic stroke | 5 (13%) | 3 (27%) | 0.35 | 8 (21%) | 0 (0%) | 0.17 |
Prior smoking | 6 (15%) | 2 (18%) | 1.0 | 8 (21%) | 0 (0%) | 0.17 |
Premorbid medication usage, n (%) | ||||||
Aspirin | 15 (38%) | 4 (36%) | 1.0 | 15 (38%) | 4 (36%) | 1.0 |
Clopidogrel | 4 (10%) | 2 (18%) | 0.60 | 4 (10%) | 2 (18%) | 0.60 |
Warfarin | 4 (10%) | 1 (9%) | 1.0 | 4 (10%) | 1 (9%) | 1.0 |
Statins | 16 (41%) | 4 (36%) | 1.0 | 14 (36%) | 6 (55%) | 0.31 |
Antihypertensive medications | 18 (46%) | 5 (45%) | 0.97 | 17 (44%) | 6 (55%) | 0.52 |
Diabetes medications | 10 (26%) | 2 (18%) | 1.0 | 10 (26%) | 2 (18%) | 1.0 |
Target occlusion location, n (%) | ||||||
Internal carotid artery | 12 (31%) | 7 (64%) | <0.05 | 18 (46%) | 1 (9%) | 0.05 |
Middle cerebral artery M1 | 13 (33%) | 2 (18%) | 0.47 | 11 (28%) | 4 (36%) | 0.71 |
Middle cerebral artery M2 | 9 (23%) | 0 (0%) | 0.18 | 7 (18%) | 2 (18%) | 1.0 |
Anterior cerebral artery A1 | 0 (0%) | 0 (0%) | 1.0 | 0 (0%) | 0 (0%) | 1.0 |
Posterior cerebral artery P1 | 0 (0%) | 0 (0%) | 1.0 | 0 (0%) | 0 (0%) | 1.0 |
Vertebrobasilar artery | 5 (13%) | 2 (18%) | 0.64 | 3 (8%) | 4 (36%) | 0.03 |
Arrival MRI | ||||||
ASPECTS score, median (IQR) | 7 (6–9) | 7 (5–9) | 0.58 | 7 (5.5–9) | 7 (7–8.5) | 0.58 |
Target lesions SVS present, n (%) | 27 (69%) | 10 (91%) | 0.25 | 33 (85%) | 6 (55%) | 0.04 |
Treatment characteristics, n (%) | ||||||
IV tPA administration | 10 (26%) | 7 (64%) | 0.03 | 15 (38%) | 2 (18%) | 0.29 |
Anesthesia | 0.56 | 0.56 | ||||
General | 4 (10%) | 0 (0%) | 4 (10%) | 0 (0%) | ||
Conscious sedation | 35 (90%) | 11 (100%) | 35 (90%) | 11 (100%) | ||
Balloon guide catheter used | 21 (54%) | 5 (45%) | 0.74 | 19 (49%) | 7 (64%) | 0.50 |
No. of passes, mean±SD | 2.2±1.7 | 1.6±1.0 | 0.27 | 2.1±1.6 | 1.8±1.2 | 0.57 |
SR alone | 25 (64%) | 10 (91%) | 0.14 | 27 (69%) | 8 (73%) | 1.0 |
Aspiration alone | 3 (8%) | 1 (9%) | 1.0 | 3 (8%) | 1 (9%) | 1.0 |
SR+aspiration | 11 (28%) | 0 (0%) | 0.09 | 9 (23%) | 2 (18%) | 1.0 |
Extra- or intracranial stenting | 5 (13%) | 3 (27%) | 0.35 | 7 (18%) | 1 (9%) | 0.67 |
mTICI | 0.38 | 0.67 | ||||
0 | 1 (3%) | 0 (0%) | 0 (0%) | 1 (9%) | ||
1 | 2 (5%) | 0 (0%) | 1 (3%) | 1 (9%) | ||
2a | 2 (5%) | 3 (27%) | 4 (10%) | 1 (9%) | ||
2b | 16 (41%) | 4 (36%) | 17 (44%) | 3 (27%) | ||
2c | 10 (26%) | 3 (27%) | 10 (26%) | 3 (27%) | ||
3 | 8 (21%) | 1 (9%) | 7 (18%) | 2 (18%) | ||
Substantial reperfusiona (mTICI 2b-3) | 34 (87%) | 8 (73%) | 0.35 | 34 (87%) | 8 (73%) | 0.35 |
Excellent reperfusion (mTICI 2c-3) | 18 (46%) | 4 (36%) | 0.73 | 17 (44%) | 5 (45%) | 1.0 |
Poor reperfusion (mTICI 0-2a) | 5 (13%) | 3 (27%) | 0.35 | 5 (13%) | 3 (27%) | 0.35 |
DO at the end of procedure | 22 (56%) | 9 (82%) | 0.13 | 24 (62%) | 7 (64%) | 0.90 |
ASPECTS indicates Alberta Stroke Program Early CT Score; BP, blood pressure; DO, distal occlusion; DWI, diffusion-weighted imaging; ED, emergency department; EDT, emboli to distal territories; INT, infarct in new territory; IQR, interquartile range; IV tPA, intravenous tissue-type plasminogen activator; MRI, magnetic resonance imaging; mTICI, modified Thrombolysis in Cerebral Infarction; NIHSS, National Institutes of Health Stroke Scale; SR, stent retriever; and SVS, susceptibility vessel sign.
Among the 5 candidate baseline variables (DBP, intravenous tPA, internal carotid artery (ICA) target location, atrial fibrillation, and target occlusion evidencing SVS on pre-EVT imaging), the multivariate logistic model identified 3 variables as independently predictive of EDT-SVS: DBP, intravenous thrombolysis, and atrial fibrillation (Table 2). Model performance was excellent, with C statistic 0.90 and Akaike Information Criteria 40.6. Specificity was 82%, sensitivity 91%, and overall accuracy 87%.
Characteristic | log OR | SE | OR | 95% CI | P value |
---|---|---|---|---|---|
Diastolic BP* | 0.08 | 0.03 | 1.09 | 1.02–1.15 | 0.007 |
IV tPA | 1.71 | 0.90 | 5.54 | 0.94–32.49 | 0.058 |
Atrial fibrillation | 2.00 | 1.01 | 7.38 | 1.02–53.32 | 0.048 |
BP indicates blood pressure; IV tPA, intravenous tissue-type plasminogen activator; and OR, odds ratio.
*
Per every 1 mm/Hg.
The classification tree analysis also identified 3 predictive variables: DBP, intravenous thrombolysis, and SVS in the initial target occlusion thrombus (Figure I in the Data Supplement). Classification and regression tree model performance was also excellent, with C statistic 0.89. Specificity was 91%, sensitivity 81%, and overall accuracy 89%.
Patient Characteristics Associated With INT
Considering demographic, clinical, and procedural characteristics of patients with and without INT-DWI (Table 1), in univariate analysis, a feature positively associated with INT-DWI was vertebrobasilar artery target occlusion (odds ratio, 6.86 [95% CI, 1.25–37.61]), while features negatively associated with INT-DWI were SVS on pre-EVT imaging (odds ratio, 0.22 [95% CI, 0.05–0.95]) and ICA target occlusion (odds ratio, 0.12 [95% CI, 0.01–1.00]).
Relation of EDT-SVS to Reperfusion and DOs on Catheter Angiography
New DOs on catheter angiography (DO-DSA) were evident on final post-thrombectomy catheter angiography in 62% (31 of 50) patients (Table II in the Data Supplement). The association of modified Thrombolysis in Cerebral Infarction reperfusion grade with distal vessel findings is shown in Table III in the Data Supplement. Partial (compared with total and no) reperfusion was nonsignificantly associated with more EDT-SVS and significantly associated with more DVO-DSA and more combined EDT-SVS and DVO-DSA.
Outcomes of Patients With/Without EDT-SVS or INT-DWI
The presence of EDT was not associated with hemorrhagic transformation, hyperacute injury marker sign, infarct extent at 16 to 48 hours, or disability level at discharge or 3 months (Table 3). The presence of INT-DWI was associated with reduced postprocedural intracranial hemorrhage (odds ratio, 0.05 [95% CI, 0.003–0.98]).
Outcomes | No EDT-SVS (n=39) | EDT-SVS (n=11) | P value | No INT-DWI (n=39) | INT-DWI (n=11) | P value |
---|---|---|---|---|---|---|
Imaging | ||||||
Intracranial hemorrhage | ||||||
HI1 | 18% | 27% | 0.67 | 26% | 0% | 0.09 |
HI2 | 5% | 18% | 0.21 | 10% | 0% | 0.56 |
PH1 | 3% | 9% | 0.40 | 5% | 0% | 1.0 |
PH2 | 5% | 0% | 1.0 | 5% | 0% | 1.0 |
SAH | 13% | 0% | 0.57 | 13% | 0% | 0.57 |
Any | 38% | 55% | 0.34 | 54% | 0% | <0.01 |
HARM | ||||||
Early | 59% (22/37) | 36% (4/11) | 0.30 | 54% (20/37) | 55% (6/11) | 0.98 |
Late | 50% (16/32) | 27% (3/11) | 0.29 | 49% (17/35) | 25% (2/8) | 0.27 |
Any | 61% (23/38) | 36% (4/11) | 0.19 | 55% (21/38) | 55% (6/11) | 0.97 |
ASPECTS, median (IQR) at 16–48 h (n=43) | 7 (4–8) | 6 (6–9) | 0.89 | 7 (4–9) | 7 (6–7) | 0.85 |
Clinical | ||||||
At discharge | ||||||
Nondisabled (mRS score, 0–1) | 36% | 5 (45%) | 0.73 | 13 (33%) | 6 (55%) | 0.29 |
Independent (mRS score, 0–2) | 46% | 5 (45%) | 0.97 | 17 (44%) | 6 (55%) | 0.52 |
Extremely disabled/dead (mRS score, 5–6) | 18% | 4 (36%) | 0.23 | 9 (23%) | 2 (18%) | 1.0 |
At day 90 | ||||||
Nondisabled (mRS score, 0–1) | 34% (10/29) | 33% (3/9) | 1.0 | 37% (11/30) | 25% (2/8) | 0.69 |
Independent (mRS score, 0–2) | 48% (14/29) | 44% (4/9) | 1.0 | 47% (14/30) | 50% (4/8) | 1.0 |
Extremely disabled/dead (mRS score, 5–6) | 24% (7/29) | 44% (4/9) | 0.40 | 30% (9/30) | 25% (2/8) | 1.0 |
ASPECTS indicates Alberta Stroke Program Early CT Score; DWI, diffusion-weighted imaging; EDT, emboli to distal territories; HARM, hyperacute injury marker; HI, hemorrhagic infarction; INT, infarct in new territory; IQR, interquartile range; mRS, modified Rankin Scale; PH, parenchymal hematoma; SAH, subarachnoid hemorrhage; and SVS, susceptibility vessel sign.
Discussion
In this study of consecutive large vessel occlusion AIS patients undergoing EVT, MRI-delineated new embolic events associated with the EVT were common, occurring in about 2 in every 5 patients. New EDT beyond the target occlusion occurred in about 1 in every 5 patients; and new infarcts in previously uninvolved territories occurred in about 1 in every 5 patients, with only 1 in 50 patients having both types. Patient features consistently associated with new EDT, on both multivariate and classification and regression tree analysis, were intravenous tPA pretreatment (odds increased 5-fold) and lower pretreatment DBP (odds increased 10% per every 1 lower mm Hg). Higher rates of INT were associated with vertebrobasilar target occlusion location (odds increased 7-fold), while lower rates were associated with SVS on preinterventional imaging (odds reduced 5-fold) and internal carotid artery target occlusion location (odds reduced 8-fold). INTs were associated with reduced hemorrhagic transformation; EDTs were not. Neither INT nor EDT was associated with outcomes of hyperacute injury marker sign, infarct extent at 16 to 48 hours, or disability level at discharge or 3 months.
The rate of distal embolization in this series is comparable to a recent series of susceptibility-weighted imaging–based detection of DE.10 The association of EDT-SVS with bridging thrombolysis is unsurprising, as prior studies have reported increased rates of periprocedural thrombus fragmentation after lytics, as detected on DSA.11,12 The association of ICA target occlusion with EDT-SVS suggests retrieval of thrombi from the proximal intracranial vasculature may require additional caution, as the larger target thrombi pose greater embolic risk. The inverse association of ICA target occlusion with INT-DWI likely reflects that, when control over a thrombus is lost during retrieval from the ICA target, the likely result is embolization into the original territory, as there rarely are branch points into other territories proximal to the ICA target. The association of vertebrobasilar target occlusions with INT-DWI, in part, likely reflects larger target thrombi with greater fragmentation risk. Treatment technique aspects likely also contribute to the higher embolism frequency with vertebrobasilar target occlusions, as balloon guide catheters are used less and aspiration alone more commonly than in anterior circulation occlusions. The predictive value of DBP <66 mm Hg in multivariate models highlights the importance of hemodynamic factors in the clearance of distal emboli, so called washout.13 DBP decreases reduce intravascular pressure that clears residual clots from the arterial tree. In addition, reduced blood pressure lowers collateral flow, which may decrease effective circulation of lytic plasma-based factors to downstream emboli.14 The association of atrial fibrillation and target occlusion SVS with EDT-SVS suggests a possible role for clot composition in the likelihood of clot fragmentation during procedural manipulation. Clot composition has been demonstrated to vary by stroke etiology15 and SVS-positive thrombi shown to be erythrocyte rich.16 Overall, the relationships demonstrated here suggest that several parameters, including clot characteristics, hemodynamics, collaterals, clot size, and location, may affect periprocedural embolization.
The rate of INT in the current study was generally higher than in prior series and is likely to be more accurate, as the current study uniquely employed more sensitive DWI in all patients for follow-up imaging.17–19 The association of INT-DWI with reduced hemorrhagic transformation was unexpected but likely has several sources. In part, it reflects the association of INT-DWI with posterior circulation target occlusions, which less often have post-thrombolytic hemorrhagic transformation, and the inverse association of INT-DWI with ICA target occlusions, which more often have post-thrombolytic hemorrhagic transformation.20–23 Additionally, INT-DWI patients had a nominal decrease in the rate of substantial reperfusion, which may have played a protective role against hemorrhagic transformation.24 In contrast to prior studies, INT in the current study was not associated with changes in disability level at 3 months.17,19 Likely the DWI surveillance in the current study detected smaller infarcts than prior investigations, which are associated with less impact upon functional outcome.
It is noteworthy that EDT-SVS was observed less often than DVO-DSA at procedure end, 22% versus 62%. This lower frequency likely has 3 sources. First, some of the DVOs at procedure end seen on DSA were unretrieved portions of the initial target occlusion, rather than new EDT; in contrast, GRE-MR imaging enabled disambiguation of residual original thrombus from new distal emboli. Second, among those that were distal emboli, a substantial proportion are likely to have lysed and resolved by the time of follow-up MRI imaging 3 to 28 hours after procedure completion. Third, some distal emboli will be fibrin-rich, erythrocyte-poor thrombi that do not generate SVS.
This study has several limitations. First, GRE is known to be a less sensitive method of detecting DE as compared with susceptibility-weighted imaging, which offers phase-sensitive information and 3-dimensional rendering that increase its power to detect small distal emboli, and SVS does not show fibrin-rich emboli. In addition, some initial distal emboli may have spontaneously lysed between the end of procedure and the time of the follow-up GRE-MRI. As result, the 22% rate of new DE represents a conservative value but provides a useful minimum rate at which DEs are occurring. It is also important to note that proper evaluation of any susceptibility-weighted sequence for the presence of distal emboli requires detailed knowledge of cerebrovascular anatomy and careful consideration of radiological differential diagnoses including cerebral microbleeds, normal arterial flow voids, and deoxygenated blood within cerebral veins. In addition, susceptibility artifacts due to hemorrhagic transformation may further complicate the identification of EDT-SVS in close anatomic proximity. Importantly, radiological suspicion of EDT-SVS may be supported with additional MRI findings including fluid-attenuated inversion recovery hyperintense vessels (indicative of slow flow) and perfusion delay (Figure 1). Additionally, at our center, images were typically acquired at a slice thickness of 5 mm, which may miss EDT-SVS due to partial volume averaging. Despite these technical limitations, GRE-based detection of EDT-SVS may offer superior clinical applicability, as susceptibility-weighted imaging is not yet recommended per national guidelines regarding acute stroke imaging and management.25,26 Our study is also limited by its retrospective nature and relatively small sample size.
Conclusions
Among AIS patients treated with modern EVT technology, embolization distal to the target occlusion and INT each occur in about 1 in every 5 cases. Strong predictors of distal embolization are ICA target occlusion, indicating larger thrombus to be manipulated; pretreatment intravenous fibrinolysis, potentially disrupting thrombus structural integrity; and lower DBP, suggestive of impaired embolic washout.
Footnote
Nonstandard Abbreviations and Acronyms
- AIS
- acute ischemic stroke
- DBP
- diastolic blood pressure
- DSA
- digital subtraction angiography
- DVO
- distal vessel occlusion
- DWI
- diffusion-weighted imaging
- EDT
- embolus to distal territory
- ENT
- embolus to new territory
- EVT
- endovascular thrombectomy
- GRE
- gradient-recalled echo
- INT
- infarct in new territory
- IQR
- interquartile range
- MR
- magnetic resonance
- MRI
- magnetic resonance imaging
- SVS
- susceptibility vessel sign
- tPA
- tissue-type plasminogen activator
Supplemental Material
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Appendix
List of UCLA Thrombectomy Investigators: Rodel Alfonso, RN; Allison Arch, MD; Gilda Avila, BS; Mersedeh Bahr Hosseini, MD; Fionna Chatfield, RN; Arun S. Chhabra, MD; Bruce Dobkin, MD; Gary Duckwiler, MD; Lindsey K. Frischmann, DO; Ileana Grunberg, RN; Judy Guzy, RN; Jason Hinman, MD, PhD; Josephine F. Huang, MD; Doojin Kim, MD; David S. Liebeskind, MD; Konark Malhotra, MD; Michael McManus, MD; May Nour, MD, PhD; Neal Rao, MD; Lucas Restrepo, MD; Jeffrey L. Saver, MD; Latisha K. Sharma, MD; Sidney Starkman, MD; Parampreet Singh, MD; Xiannan (Xander) Tang, MD; Jason W. Tarpley, MD; Anita Tipirneni, MD.
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© 2021 American Heart Association, Inc.
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History
Received: 1 November 2020
Revision received: 4 January 2021
Accepted: 19 March 2021
Published online: 20 May 2021
Published in print: July 2021
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Disclosures
Disclosures Dr Wong reports grants from the American Academy of Neurology and the Washington University School of Medicine during the conduct of the study. Dr Liebeskind reports other from Cerenovus/Genentech/Medtronic/Stryker/Rapid Medical outside the submitted work. Dr Jahan: UC Regents receive funding for Dr Jahan’s services as a scientific consultant on trial design/conduct to Medtronic/Covidien. Dr Duckwiler reports personal fees from Medtronic during the conduct of and outside submitted work. Dr Tateshima reports consultant fees from Medtronic/Stryker/Cerenovus outside submitted work. Dr Colby reports consulting and proctoring fee from Stryker/Microvention and proctoring fee from Medtronic. Dr Saver: unpaid site investigator in multicenter trials sponsored by Boehringer Ingelheim/Hoffman LaRoche/Medtronic/Stryker/Neuravia, for which UC Regents received payments on the basis of clinical trial contracts for the number of subjects enrolled; funding for services as a scientific consultant regarding rigorous trial design/conduct to Medtronic/Stryker/Cerenovus/Boehringer Ingelheim (prevention only); and stock options for services as a scientific consultant regarding rigorous trial design/conduct to Rapid Medical. The University of California has intellectual property rights in retriever technology for stroke. The other authors report no conflicts.
Sources of Funding
This study was supported by the American Academy of Neurology (AAN) Medical Student Summer Research Scholarship, Washington University School of Medicine Dean’s Scholarship, and National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS) University of California, Los Angeles (UCLA) Clinical and Translational Sciences Institute (CTSI) grant number UL1TR001881.
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