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<article article-type="research-article" dtd-version="1.0" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JKNS</journal-id>
<journal-title-group>
<journal-title>Journal of Korean Neurosurgical Society</journal-title><abbrev-journal-title>J Korean Neurosurg Soc</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">2005-3711</issn>
<issn pub-type="epub">1598-7876</issn>
<publisher>
<publisher-name>Korean Neurosurgical Society</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3340/jkns.2021.0064</article-id>
<article-id pub-id-type="publisher-id">jkns-2021-0064</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Clinical Article</subject>
<subj-group subj-group-type="heading">
<subject>Vascular</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Outcomes of Mechanical Thrombectomy in Patients with Large Diffusion-Weighted Imaging Lesions</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-0840-0039</contrib-id>
<name><surname>Cho</surname><given-names>Yong-Hwan</given-names></name>
<xref ref-type="aff" rid="af1-jkns-2021-0064"><sup>1</sup></xref>
<xref ref-type="aff" rid="af2-jkns-2021-0064"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-1173-2787</contrib-id>
<name><surname>Choi</surname><given-names>Jae Hyung</given-names></name>
<xref ref-type="corresp" rid="c1-jkns-2021-0064"/>
<xref ref-type="aff" rid="af1-jkns-2021-0064"><sup>1</sup></xref>
<xref ref-type="aff" rid="af2-jkns-2021-0064"><sup>2</sup></xref>
</contrib>
<aff id="af1-jkns-2021-0064">
<label>1</label>Busan Regional Cerebrovascular Center, Dong-A University Hospital, Busan, <country>Korea</country></aff>
<aff id="af2-jkns-2021-0064">
<label>2</label>Department of Neurosurgery, Dong-A University Hospital, Dong-A University College of Medicine, Busan, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-jkns-2021-0064">Address for reprints : Jae Hyung Choi Department of Neurosurgery, Busan-Ulsan Regional Cardiocerebrovascular Center, Dong-A University Hospital, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan 49202, Korea Tel : +82-51-240-5241, Fax : +82-51-242-6714, E-mail : <email>nschoi1018@dau.ac.kr</email> or <email>nail1018@hanmail.net</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>1</month>
<year>2022</year></pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>11</month>
<year>2021</year></pub-date>
<volume>65</volume>
<issue>1</issue>
<fpage>22</fpage>
<lpage>29</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>3</month>
<year>2021</year></date>
<date date-type="rev-recd">
<day>19</day>
<month>4</month>
<year>2021</year></date>
<date date-type="accepted">
<day>21</day>
<month>4</month>
<year>2021</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 The Korean Neurosurgical Society</copyright-statement>
<copyright-year>2022</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0">http://creativecommons.org/licenses/by-nc/4.0</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec><title>Objective</title>
<p>Despite many advancements in endovascular treatment, the benefits of mechanical thrombectomy (MT) in patients with large infarctions remain uncertain due to hemorrhagic complications. Therefore, we aimed to investigate the efficacy and safety of recanalization via MT within 6 hours after stroke in patients with large cerebral infarction volumes (&#x0003e;70 mL).</p></sec>
<sec><title>Methods</title>
<p>We retrospectively reviewed the medical data of 30 patients with large lesions on initial diffusion-weighted imaging (&#x0003e;70 mL) who underwent MT at our institution within 6 hours after stroke onset. Baseline data, recanalization rate, and 3-month clinical outcomes were analyzed. Successful recanalization was defined as a modified treatment in cerebral ischemia score of 2b or 3.</p></sec>
<sec><title>Results</title>
<p>The recanalization rate was 63.3%, and symptomatic intracerebral hemorrhage occurred in six patients (20%). The proportion of patients with modified Rankin Scale (mRS) scores of 0&#x02013;3 was significantly higher in the recanalization group than in the non-recanalization group (47.4% vs. 9.1%, <italic>p</italic>&#x0003d;0.049). The mortality rate was higher in the non-recanalization group, this difference was not significant (15.8% vs. 36.4%, <italic>p</italic>&#x0003d;0.372). In the analysis of 3-month clinical outcomes, only successful recanalization was significantly associated with mRS scores of 0&#x02013;3 (90% vs. 50%, <italic>p</italic>&#x0003d;0.049). The odds ratio of recanalization for favorable outcomes (mRS 0&#x02013;3) was 9.00 (95% confidence interval, 0.95&#x02013;84.90; <italic>p</italic>&#x0003d;0.055).</p></sec>
<sec><title>Conclusion</title>
<p>Despite the risk of symptomatic intracerebral hemorrhage, successful recanalization via MT 6 hours after stroke may improve clinical outcomes in patients with large vessel occlusion.</p></sec>
</abstract>
<kwd-group>
<kwd>Cerebral infarction</kwd>
<kwd>Ischemia</kwd>
<kwd>Mechanical thrombectomy</kwd>
<kwd>Stroke</kwd>
<kwd>Magnetic resonance imaging, diffusion weighted</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Acute ischemic stroke caused by large vessel occlusion is associated with high mortality and poor neurological outcomes &#x0005b;<xref ref-type="bibr" rid="b18-jkns-2021-0064">18</xref>,<xref ref-type="bibr" rid="b20-jkns-2021-0064">20</xref>&#x0005d;. While intravenously administered tissue plasminogen activator (t-PA) has been shown to improve clinical outcomes among patients experiencing ischemic stroke &#x0005b;<xref ref-type="bibr" rid="b11-jkns-2021-0064">11</xref>&#x0005d;, its impact on large vessel occlusion remains controversial &#x0005b;<xref ref-type="bibr" rid="b17-jkns-2021-0064">17</xref>&#x0005d;. Advancements in mechanical thrombectomy (MT) have increased the recanalization rate and expanded the therapeutic window in patients with large vessel occlusion &#x0005b;<xref ref-type="bibr" rid="b4-jkns-2021-0064">4</xref>,<xref ref-type="bibr" rid="b15-jkns-2021-0064">15</xref>,<xref ref-type="bibr" rid="b19-jkns-2021-0064">19</xref>&#x0005d;. Two recent randomized controlled trials reported that the therapeutic time window for MT can range from 16 to 24 hours in select patients &#x0005b;<xref ref-type="bibr" rid="b1-jkns-2021-0064">1</xref>,<xref ref-type="bibr" rid="b13-jkns-2021-0064">13</xref>&#x0005d;. Despite these developments, the benefit of MT in patients with large infarction volumes remains uncertain. Reperfusion of large lesions on initial diffusion-weighted imaging (DWI) is associated with hemorrhagic transformation, which can result in poor outcomes &#x0005b;<xref ref-type="bibr" rid="b4-jkns-2021-0064">4</xref>-<xref ref-type="bibr" rid="b6-jkns-2021-0064">6</xref>,<xref ref-type="bibr" rid="b9-jkns-2021-0064">9</xref>,<xref ref-type="bibr" rid="b12-jkns-2021-0064">12</xref>&#x0005d;. Indeed, Yoo et al. &#x0005b;<xref ref-type="bibr" rid="b21-jkns-2021-0064">21</xref>&#x0005d; reported that all six patients with DWI lesions larger than 70 mL experienced poor outcomes despite a 50% recanalization rate. However, another registry study reported that favorable outcomes were achieved in every third patient with DWI lesions larger than 70 mL after successful endovascular recanalization &#x0005b;<xref ref-type="bibr" rid="b3-jkns-2021-0064">3</xref>&#x0005d;. Similarly, in a previous study conducted at our institution, recanalization was associated with a modified Rankin Scale (mRS) score of 0&#x02013;3 in patients with DWI lesions &#x02265;60 mL who had received intravenous t-PA &#x0005b;<xref ref-type="bibr" rid="b10-jkns-2021-0064">10</xref>&#x0005d;. These results indicate that recanalization may benefit patients with large DWI lesions.</p>
<p>In the present study, we aimed to investigate the efficacy and safety of large vessel recanalization via MT within 6 hours after stroke among patients with large cerebral infarction volumes on initial DWI (&#x0003e;70 mL).</p>
</sec>
<sec sec-type="materials|methods">
<title>MATERIALS AND METHODS</title>
<p>The study design was approved by the Institutional Review Board of the Dong-A University Hospital (DAUHIRB-21-060) and fulfilled all of the requirements for patient anonymity. Informed consent was waived because of the retrospective nature of the study.</p>
<sec>
<title>Patient population</title>
<p>We retrospectively reviewed the medical data of patients with acute cerebral infarction who visited our stroke center between September 2015 and August 2019 (48 months). Only patients who had undergone femoral artery puncture for MT at our institution within 6 hours after stroke onset and exhibited DWI lesion volumes &#x0003e;70 mL on initial imaging were included. Patients who were unable to undergo magnetic resonance imaging (MRI) prior to MT and those with pre-stroke mRS scores &#x02265;2 were excluded.</p>
</sec>
<sec>
<title>Study variables</title>
<p>Patient demographics and vascular risk factors including hypertension, diabetes mellitus, dyslipidemia, current cigarette smoking, atrial fibrillation, coronary artery disease, and previous cerebrovascular accident were recorded as baseline variables. Time intervals from stroke onset to arrival, stroke onset to groin puncture, and groin puncture to MT completion were recorded as time variables. The National Institutes of Health Stroke Scale (NIHSS) scores were obtained at admission. Occlusion site and Left hemisphere involvement were also recorded as radiologic data. Clinical outcomes were evaluated using the mRS score at 3 months after stroke by reviewing medical records.</p>
<p>DWI lesion volumes were estimated using a semiautomatic method, as previously described for our institution &#x0005b;<xref ref-type="bibr" rid="b10-jkns-2021-0064">10</xref>&#x0005d;. All areas showing hyperintense signals were measured automatically after a line had been manually drawn along the margin of the lesion in each slice using a region-of-interest calculator of the picture archiving and communication system. The volume of the DWI lesion was then calculated as the sum of the product of the measured area in each slice and the slice thickness &#x0005b;<xref ref-type="bibr" rid="b10-jkns-2021-0064">10</xref>&#x0005d;.</p>
<p>MT was performed by two interventionists. Recanalization after MT was graded using the modified Treatment in Cerebral Ischemia (mTICI) scale &#x0005b;<xref ref-type="bibr" rid="b22-jkns-2021-0064">22</xref>&#x0005d;. Successful recanalization was defined as an mTICI score of 2b or 3.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using PASW ver. 18 software (SPSS, Chicago, IL, USA). Categorical data were compared using the Pearson chi-square test or Fisher&#x02019;s exact test. Continuous variables were evaluated using Student&#x02019;s t-test or Mann-Whitney U-test. Logistic regression analyses were used to estimate the contribution of the variables to the outcomes. Statistical significance was defined as <italic>p</italic>&#x0003c;0.05.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<p>Among 2,971 patients who had visited our stroke center between September 2015 and August 2019 due to acute ischemic stroke, 245 underwent MT. Of these patients, only 30 exhibited DWI lesions larger than 70 mL on their initial MRI and were thus enrolled. The mean age of the patients in our study was 69.1&#x000b1;11.0 years (range, 47&#x02013;79), and 18 patients (60%) were male. The median NIHSS score was 17.5 (interquartile range &#x0005b;IQR&#x0005d;, 14&#x02013;20). Risk factors included hypertension in 16 patients (53.3%), diabetes mellitus in six (20%), smoking in 13 (43.3%), dyslipidemia in 10 (33.3%), coronary artery disease in seven (23.3%), atrial fibrillation in 19 (63.3%), and previous cerebrovascular accident in six (20%; ischemic stroke, six patients). Twenty-five patients (83.3%) were treated with intravenous t-PA. The median volume of DWI lesions was 107.55 mL (IQR, 89.7&#x02013;130.5). Symptomatic intracerebral hemorrhage (sICH) occurred in six patients (20%). Total seven patients underwent additional surgery. Six patients underwent decompressive craniectomy due to malignant brain swelling. The other patient underwent neuro navigation assisted aspiration for sICH. The median onset to door time, onset to femoral artery puncture time, and puncture to completion time were 118.5 minutes (IQR, 44.8&#x02013;172.3), 215 minutes (IQR, 128.8&#x02013;275), and 85 minutes (IQR, 60&#x02013;110), respectively. The recanalization rate was 63.3%, and there were no statistically significant risk factors associated with recanalization. The rate of sICH was higher in the non-recanalization group than in the recanalization group, although this difference was not significant (27.3% vs. 15.8%, <italic>p</italic>&#x0003d;0.641). There was no statistical association between additional surgery and recanalization (18.2% vs. 26.3%, <italic>p</italic>&#x0003d;1.000). The total procedure time was also longer in the non-recanalization group than in the recanalization group (105 minutes &#x0005b;IQR, 85&#x02013;120&#x0005d; vs. 65 minutes &#x0005b;IQR, 55&#x02013;100&#x0005d;, <italic>p</italic>&#x0003d;0.018) (<xref rid="t1-jkns-2021-0064" ref-type="table">Table 1</xref> and <xref rid="f1-jkns-2021-0064" ref-type="fig">Fig. 1</xref>).</p>
<p><xref rid="f2-jkns-2021-0064" ref-type="fig">Fig. 2</xref> shows the distribution of 3-month mRS scores for recanalization (mTICI, 2b&#x02013;3) and non-recanalization (mTICI, 0&#x02013;2a) groups. Only four patients (21.2%) in the recanalization group had mRS scores of 0&#x02013;2, whereas no patients had mRS scores of 0&#x02013;2 in the non-recanalization group. The proportion of patients with mRS scores of 0&#x02013;3 was also significantly higher in the recanalization group than in the non-recanalization group (47.4% vs. 9.1%, <italic>p</italic>&#x0003d;0.049). Three patients died in the recanalization group (15.8%). One patient of them died due to progressive malignant brain edema after undergoing decompressive craniectomy. The other two patient died of medical complications due to pneumonia. Four patients died in non-recanalization group (36.4%) and all of them died due to malignant brain edema. Although the mortality rate was higher in the non-recanalization group (15.8% vs. 36.4%, <italic>p</italic>&#x0003d;0.372), this difference was not significant.</p>
<p><xref rid="t2-jkns-2021-0064" ref-type="table">Table 2</xref> shows the results of an additional analysis of the 3-month outcomes. Based on the analysis of the 3-month mRS score distribution, clinical outcomes were analyzed by dividing the patient group into the mRS 0&#x02013;3 and mRS 4&#x02013;6 groups. The mRS 0&#x02013;3 group exhibited a smaller DWI lesion size, less left hemisphere involvement and a lower rate of sICH than the mRS 4&#x02013;6 group. However, this difference was not significant (<italic>p</italic>&#x0003d;0.074, <italic>p</italic>&#x0003d;0.442, and <italic>p</italic>&#x0003d;0.074, respectively). All of the patient who underwent additional surgery were included in the mRS 4&#x02013;6 group. (0% vs. 35%, <italic>p</italic>&#x0003d;0.064). It is assumed that the patient condition such as malignant infarction or sICH that brought the surgery affected the result. Only successful recanalization was significantly associated with better outcomes (90% vs. 50%, <italic>p</italic>&#x0003d;0.049). Simple logistic regression analysis revealed that the odds ratio for the association between recanalization and favorable outcomes was 9.00 (95% confidence interval &#x0005b;CI&#x0005d;, 0.95&#x02013;84.90; <italic>p</italic>&#x0003d;0.055).</p>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>The present single-center study examined the efficacy and safety of large vessel recanalization via MT within 6 hours after stroke in patients with large cerebral infarction volumes. Our analysis indicated that the proportion of patients with mRS scores of 0&#x02013;3 was significantly higher in the recanalization group than in the non-recanalization group. Despite the small sample size of our study, our findings are in accordance with those of previous studies that have highlighted the potential benefits of MT in patients with large lesions on pretreatment DWI &#x0005b;<xref ref-type="bibr" rid="b3-jkns-2021-0064">3</xref>,<xref ref-type="bibr" rid="b7-jkns-2021-0064">7</xref>,<xref ref-type="bibr" rid="b8-jkns-2021-0064">8</xref>,<xref ref-type="bibr" rid="b14-jkns-2021-0064">14</xref>&#x0005d;.</p>
<p>The analysis of 3-month clinical outcomes indicated that the recanalization group included a greater proportion of patients with mRS scores of 0&#x02013;2, which have been conventionally defined as favorable outcomes (20.8% vs. 0%). Although the mortality rate was also lower in the recanalization group (15.8% vs. 36.4%), these differences were not statistically significant (<italic>p</italic>&#x0003d;0.268 and <italic>p</italic>&#x0003d;0.372, respectively). Given that only four patients achieved mRS scores of 0&#x02013;2 at the 3-month follow-up, it is difficult to make comparisons by dividing patients into groups based on mRS scores of 0&#x02013;2 and 3&#x02013;6. However, we observed a significant difference between the mRS 0&#x02013;3 and mRS 4&#x02013;6 subgroups (47.4% vs. 9.1%, <italic>p</italic>&#x0003d;0.049). Therefore, we conducted an additional analysis to identify factors affecting clinical outcomes by dividing the patients into the mRS 0&#x02013;3 and mRS 4&#x02013;6 groups. Although mRS 0&#x02013;3 is not the usual definition of a good outcome, in their study of patients with stroke exhibiting confirmed large vessel occlusion at the onset of intravenous t-PA, Rangaraju et al. &#x0005b;<xref ref-type="bibr" rid="b16-jkns-2021-0064">16</xref>&#x0005d; reported that health-related quality of life was similar in the 3-month mRS 2 and 3 groups despite differences in functional disability. Therefore, they suggested that good outcomes for moderate-to-severe ischemic stroke be defined based on mRS scores of 0&#x02013;3, rather than on scores of 0&#x02013;2 &#x0005b;<xref ref-type="bibr" rid="b16-jkns-2021-0064">16</xref>&#x0005d;. DWI lesions are generally irreversible &#x0005b;<xref ref-type="bibr" rid="b2-jkns-2021-0064">2</xref>&#x0005d;, and large DWI lesions can lead to severe disability and sequelae, making it difficult for patients to perform activities of daily living (mRS, 2). Therefore, we thought that grouping them to mRS 0&#x02013;3 and mRS 4&#x02013;6 could be useful in the comparison of clinical outcomes when conventional definition was inapplicable for analysis. Similarly, other studies regarding large infarction and MT have also divided clinical outcomes based on mRS ranges of 0&#x02013;3 and 4&#x02013;6 &#x0005b;<xref ref-type="bibr" rid="b7-jkns-2021-0064">7</xref>,<xref ref-type="bibr" rid="b8-jkns-2021-0064">8</xref>&#x0005d;.</p>
<p>In the present study, the recanalization rate was 63.3%, while the rate of sICH was 20% (recanalization group, 15.8% vs. non-recanalization group, 27.3%). Our analysis indicated that 47.4% of patients who experienced recanalization achieved a mRS score of 0&#x02013;3 at 3 months, which was not associated with demographic data or vascular risk factors. Although the DWI lesion area and the presence of sICH approached borderline significance (<italic>p</italic>&#x0003d;0.074 and <italic>p</italic>&#x0003d;0.074, respectively), only successful recanalization was significantly related to favorable outcomes. Generally, previous studies of large infarction and endovascular treatment have reported that age, DWI area, and recanalization are associated with clinical outcomes &#x0005b;<xref ref-type="bibr" rid="b3-jkns-2021-0064">3</xref>,<xref ref-type="bibr" rid="b8-jkns-2021-0064">8</xref>,<xref ref-type="bibr" rid="b14-jkns-2021-0064">14</xref>&#x0005d;. This discrepancy is likely explained by the small number of patients included in our study. Given that only successful recanalization fit into the logistic regression model, we conducted a simple logistic regression analysis, which yielded an odds ratio of 9.00 (95% CI, 0.95&#x02013;84.90) and a <italic>p</italic> value approaching statistical significance (<italic>p</italic>&#x0003d;0.055). Consequently, our results suggest that successful recanalization via MT may improve the quality of life of patients with large vessel occlusion when t-PA administration has proven unsuccessful.</p>
<p>Generally, ICH after recanalization treatment was considered as a reperfusion syndrome &#x0005b;<xref ref-type="bibr" rid="b12-jkns-2021-0064">12</xref>&#x0005d;. In the present study, the rate of sICH in the non-recanalization group was higher than that in the recanalization group (27.3% vs. 15.8%, <italic>p</italic>&#x0003d;0.641). This may be explained by a greater number of recanalization attempts in the non-recanalization group, which may have increased the number of procedures and procedure time (105 minutes &#x0005b;IQR, 85&#x02013;120&#x0005d; vs. 65 minutes &#x0005b;IQR, 55&#x02013;100&#x0005d;, <italic>p</italic>&#x0003d;0.018) and resulted in more intimal injuries and subsequent hemorrhagic complications such as sICH. In the clinical outcome analysis, there was no sICH in the mRS 0&#x02013;3 group. All six patients with sICH were included in the mRS 4&#x02013;6 group (<xref rid="t2-jkns-2021-0064" ref-type="table">Table 2</xref>). Taken together, when MT was performed in patients with a large infarction core, it is assumed that recanalization should be achieved with minimal MT attempts to reduce the occurrence of sICH and achieve a good outcome.</p>
<p>Despite a large pre-treatment infarction core, successful recanalization through MT might improve outcomes by inducing changes in the large ischemic penumbra. Kerleroux et al. &#x0005b;<xref ref-type="bibr" rid="b8-jkns-2021-0064">8</xref>&#x0005d; reported no difference in favorable outcomes between the MT and control groups in their entire population, including patients with DWI lesions &#x0003e;70 mL. However, after adjusting for the core perfusion mismatch ratio (CPMR), receiving MT was associated with an increased probability of a favorable outcome (mRS, 0&#x02013;3) as CPMR increased. Significant differences were observed above a CPMR of 1.72 &#x0005b;<xref ref-type="bibr" rid="b8-jkns-2021-0064">8</xref>&#x0005d;. Although we did not quantify the degree of decrease in perfusion area in our study, we believe that MT may have salvaged a portion of the area, resulting in improved outcomes.</p>
<p>The present study has several limitations, including its single-center retrospective design, which may have led to selection bias. Moreover, some results did not achieve statistical significance due to the small number of patients included. While prospective randomized controlled trials are required to verify our findings, these are difficult to implement due to ethical concerns. Additional studies involving larger numbers of patients should aim to determine the efficacy and safety of recanalization via MT in patients with large infarction cores.</p>
</sec>
<sec sec-type="conclusions">
<title>CONCLUSION</title>
<p>Despite the risk of sICH, successful large vessel recanalization could improve clinical outcomes even in high-risk patients with a large infarction core, provided that it is performed within 6-hour of onset of ischemic symptoms.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict"><p><bold>CONFLICTS OF INTEREST</bold></p><p>No potential conflict of interest relevant to this article was reported.</p></fn>
<fn><p><bold>INFORMED CONSENT</bold></p><p>This type of study does not require informed consent.</p></fn>
<fn fn-type="participating-researchers"><p><bold>AUTHOR CONTRIBUTIONS</bold></p>
<p>Conceptualization : JHC</p>
<p>Data curation : YHC, JHC</p>
<p>Formal analysis : YHC</p>
<p>Funding acquisition : JHC</p>
<p>Methodology : YHC</p>
<p>Project administration : JHC</p>
<p>Visualization : YHC, JHC</p>
<p>Writing - original draft : YHC</p>
<p>Writing - review &amp; editing : JHC</p></fn>
</fn-group>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-jkns-2021-0064" position="float">
<label>Fig. 1.</label><caption><p>Study flow chart. DWI : diffusion-weighted imaging, OTP : onset to puncture time, mTICI : modified Treatment in Cerebral Ischemia.</p></caption>
<graphic xlink:href="jkns-2021-0064f1.tif"/>
</fig>
<fig id="f2-jkns-2021-0064" position="float">
<label>Fig. 2.</label><caption><p>Functional outcome at 3 months according to the recanalization status in patients with diffusion-weighted imaging lesions &gt;70 mL. Although the proportion of patients with modified Rankin Scale (mRS) scores of 0&#x02013;2 was higher in the recanalization group than in the non-recanalization group, this difference did not reach statistical significance (21.1% vs. 0%, <italic>p</italic>&#x0003d;0.268). However, the proportion of patients with mRS scores of 0&#x02013;3 was also higher in the recanalization group (47.4% vs. 9.1%), and the difference was statistically significant (<italic>p</italic>&#x0003d;0.049).</p></caption>
<graphic xlink:href="jkns-2021-0064f2.tif"/>
</fig>
<table-wrap id="t1-jkns-2021-0064" position="float">
<label>Table 1.</label>
<caption><p>Characteristics of patients who underwent mechanical thrombectomy</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2" colspan="2"></th>
<th align="center" valign="middle" rowspan="2">Total</th>
<th align="center" valign="middle" colspan="2">Result of mechanical thrombectomy<hr/></th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic>-value</th>
</tr><tr>
<th align="center" valign="middle">mTICI 0&#x02013;2a</th>
<th align="center" valign="middle">mTICI 2b&#x02013;3</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Total</td>
<td valign="top" align="center">30 (100.0)</td>
<td valign="top" align="center">11 (36.7)</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Sex</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x02003;</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">18 (60.0)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">10 (52.6)</td>
<td valign="top" align="center">0.442</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">12 (40.0)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">9 (47.4)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Age (years)</td>
<td valign="top" align="center">69.1&#x000B1;11.0</td>
<td valign="top" align="center">67.1&#x000B1;11.5</td>
<td valign="top" align="center">70.2&#x000B1;10.8</td>
<td valign="top" align="center">0.462</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">NIHSS score</td>
<td valign="top" align="center">17.5 (14&#x02013;20)</td>
<td valign="top" align="center">17 (14&#x02013;20)</td>
<td valign="top" align="center">18 (14&#x02013;20)</td>
<td valign="top" align="center">0.516</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Hypertension</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">14 (46.7)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">11 (57.9)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">16 (53.3)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">8 (42.1)</td>
<td valign="top" align="center">0.105</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Diabetes mellitus</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">24 (80.0)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">16 (84.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">3 (15.8)</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Smoking</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Non-smoker</td>
<td valign="top" align="center">17 (56.7)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">12 (63.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Current or ex-smoker</td>
<td valign="top" align="center">13 (43.3)</td>
<td valign="top" align="center">6 (54.5)</td>
<td valign="top" align="center">7 (36.8)</td>
<td valign="top" align="center">0.454</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Dyslipidemia</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">20 (66.7)</td>
<td valign="top" align="center">6 (54.5)</td>
<td valign="top" align="center">14 (73.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">10 (33.3)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">5 (26.3)</td>
<td valign="top" align="center">0.425</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CAD</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">23 (76.7)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">15 (78.9)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Atrial fibrillation</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">11 (36.7)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">8 (42.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">11 (57.9)</td>
<td valign="top" align="center">0.466</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Previous CVA</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">24 (80.0)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">15 (78.9)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">tPA</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Non-administration</td>
<td valign="top" align="center">5 (16.7)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" align="center">3 (15.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Administration</td>
<td valign="top" align="center">25 (83.3)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">16 (84.2)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">DWI lesion</td>
<td valign="top" align="center">107.55 (89.7&#x02013;130.5)</td>
<td valign="top" align="center">112.4 (91.5&#x02013;131.2)</td>
<td valign="top" align="center">102.7 (82.5&#x02013;130.3)</td>
<td valign="top" align="center">0.672</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Occlusion site</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">ICA</td>
<td valign="top" align="center">12 (40.0)</td>
<td valign="top" align="center">4 (36.4)</td>
<td valign="top" align="center">8 (42.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">MCA</td>
<td valign="top" align="center">18 (60.0)</td>
<td valign="top" align="center">7 (63.6)</td>
<td valign="top" align="center">11 (57.9)</td>
<td valign="top" align="center">0.534</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Symptomatic ICH</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">Absence</td>
<td valign="top" align="center">24 (80.0)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">16 (84.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Presence</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">3 (15.8)</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">OTD (minutes)</td>
<td valign="top" align="center">118.5 (44.8&#x02013;172.3)</td>
<td valign="top" align="center">54 (33&#x02013;173)</td>
<td valign="top" align="center">131 (56&#x02013;168)</td>
<td valign="top" align="center">0.497</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">OTP (minutes)</td>
<td valign="top" align="center">215 (128.8&#x02013;275)</td>
<td valign="top" align="center">140 (101&#x02013;275)</td>
<td valign="top" align="center">230 (155&#x02013;275)</td>
<td valign="top" align="center">0.420</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">PTF (minutes)</td>
<td valign="top" align="center">85 (60&#x02013;110)</td>
<td valign="top" align="center">105 (85&#x02013;120)</td>
<td valign="top" align="center">65 (55&#x02013;100)</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Surgery</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="left">None</td>
<td valign="top" align="center">23 (76.7)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">14 (73.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Underwent</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" align="center">5 (26.3)</td>
<td valign="top" align="center">1.000</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as mean&#x000B1;standard deviation, median (interquartile range), or number (%). mTICI : modified Treatment in Cerebral Ischemia, NIHSS : National Institutes of Health Stroke Scale, CAD : coronary artery disease, CVA : cerebrovascular accident, tPA : tissue plasminogen activator, DWI : diffusion-weighted imaging, ICA : internal carotid artery, MCA : middle cerebral artery, ICH : intracerebral hemorrhage, OTD : onset to door time, OTP : onset to puncture time, PTF : puncture to finish time</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-jkns-2021-0064" position="float">
<label>Table 2.</label>
<caption><p>Patient characteristics according to 3-month outcomes (mRS 0&#x02013;3 vs. 4&#x02013;6)</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2"></th>
<th align="center" valign="middle" colspan="2">3-month mRS score<hr/></th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic>-value</th>
</tr><tr>
<th align="center" valign="middle">0&#x02013;3</th>
<th align="center" valign="middle">4&#x02013;6</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">10 (33.3)</td>
<td valign="top" align="center">20 (66.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">12 (60.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">8 (40.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">67.1&#x000B1;11.5</td>
<td valign="top" align="center">70.2&#x000B1;10.8</td>
<td valign="top" align="center">0.286</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS score</td>
<td valign="top" align="center">16 (13&#x02013;20)</td>
<td valign="top" align="center">17.5 (15.3&#x02013;20)</td>
<td valign="top" align="center">0.516</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">10 (50.0)</td>
<td valign="top" align="center">0.709</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">10 (50.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">9 (90.0)</td>
<td valign="top" align="center">15 (75.0)</td>
<td valign="top" align="center">0.633</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">1 (10.0)</td>
<td valign="top" align="center">5 (25.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Non-smoker</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">11 (55.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Current or ex-smoker</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">9 (45.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">7 (70.0)</td>
<td valign="top" align="center">13 (65.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">3 (30.0)</td>
<td valign="top" align="center">7 (35.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">CAD</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">8 (80.0)</td>
<td valign="top" align="center">15 (75.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="center">5 (25.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">5 (25.0)</td>
<td valign="top" align="center">0.108</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">15 (75.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Previous CVA</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">9 (90.0)</td>
<td valign="top" align="center">15 (75.0)</td>
<td valign="top" align="center">0.633</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">1 (10.0)</td>
<td valign="top" align="center">5 (25.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">tPA</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Non-administration</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="center">3 (15.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Administration</td>
<td valign="top" align="center">8 (80.0)</td>
<td valign="top" align="center">17 (85.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">DWI lesion</td>
<td valign="top" align="center">95.11 (75.8&#x02013;117.6)</td>
<td valign="top" align="center">114.99 (98.3&#x02013;155.8)</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td valign="top" align="left">Affected hemisphere</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Right</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">8 (40.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Left</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">12 (60.0)</td>
<td valign="top" align="center">0.442</td>
</tr>
<tr>
<td valign="top" align="left">Symptomatic ICH</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Absence</td>
<td valign="top" align="center">10 (100.0)</td>
<td valign="top" align="center">14 (70.0)</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Presence</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">6 (30.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Occlusion site</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;ICA</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">8 (40.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;MCA</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">12 (60.0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">OTD (minutes)</td>
<td valign="top" align="center">58.5 (44.8&#x02013;162.3)</td>
<td valign="top" align="center">137 (41.0&#x02013;173.0)</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">OTP (minutes)</td>
<td valign="top" align="center">195 (122.5&#x02013;280.0)</td>
<td valign="top" align="center">217 (132.5&#x02013;275.0)</td>
<td valign="top" align="center">0.713</td>
</tr>
<tr>
<td valign="top" align="left">PTF (minutes)</td>
<td valign="top" align="center">72.5 (60.0&#x02013;107.5)</td>
<td valign="top" align="center">87.5 (61.3&#x02013;110.0)</td>
<td valign="top" align="center">0.619</td>
</tr>
<tr>
<td valign="top" align="left">Recanalization</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;mTICI 0&#x02013;2a</td>
<td valign="top" align="center">1 (10.0)</td>
<td valign="top" align="center">10 (50.0)</td>
<td valign="top" align="center">0.049</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;mTICI 2b, 3</td>
<td valign="top" align="center">9 (90.0)</td>
<td valign="top" align="center">10 (50.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Surgery</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;None</td>
<td valign="top" align="center">10 (100.0)</td>
<td valign="top" align="center">13 (65.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Underwent</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">7 (35.0)</td>
<td valign="top" align="center">0.064</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as mean&#x000B1;standard deviation, median (interquartile range), or number (%). mRS : modified Rankin Scale, NIHSS : National Institutes of Health Stroke Scale, CAD : coronary artery disease, CVA : cerebrovascular accident, tPA : tissue plasminogen activator, DWI : diffusion-weighted imaging, ICH : intracerebral hemorrhage, ICA : internal carotid artery, MCA : middle cerebral artery, OTD : onset to door time, OTP : onset to puncture time, PTF : puncture to finish time, mTICI : modified Treatment in Cerebral Ischemia</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>