Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleNEUROVASCULAR/STROKE IMAGING

Stroke Thrombectomy for Large Infarcts with Limited Penumbra: Systematic Review and Meta-Analysis of Randomized Trials

Huanwen Chen, Seemant Chaturvedi, Dheeraj Gandhi and Marco Colasurdo
American Journal of Neuroradiology April 2025, DOI: https://doi.org/10.3174/ajnr.A8553
Huanwen Chen
aFrom the National Institute of Neurological Disorders and Stroke (H.C.), National Institutes of Health, Bethesda, Maryland
bDepartment of Neurology (H.C.), MedStar Georgetown University Hospital, Washington DC
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seemant Chaturvedi
cDepartment of Neurology (S.C.), University of Maryland Medical Center, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Seemant Chaturvedi
Dheeraj Gandhi
dDepartment of Radiology (D.G.), University of Maryland Medical Center, Baltimore, Maryland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dheeraj Gandhi
Marco Colasurdo
eDepartment of Interventional Radiology (M.C.), Oregon Health & Science University, Portland, Oregon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marco Colasurdo
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND: Recent randomized trials have suggested that endovascular thrombectomy (EVT) is superior to medical management (MM) for stroke patients with large infarcts. However, whether or how perfusion metrics should be used to guide optimal patient selection for treatment is unknown.

PURPOSE: To synthesize trial results to provide more definitive guidance on the role of EVT for stroke patients with large infarcts based on perfusion metrics.

DATA SOURCES: MEDLINE database from inception up to July 8, 2024. Randomized controlled trials that report the efficacy and safety of EVT for patients with large infarcts (defined by either infarct core volume greater than 50cc or Alberta Stroke Program Early CT Score [ASPECTS] less than 6) stratified by mismatch profile were included.

STUDY SELECTION: Five trials were identified – SELECT2 and ANGEL-ASPECT.

DATA ANALYSIS: The primary outcome was odds of acceptable outcomes (90-day modified Rankin scale [mRS] 0 to 3). Secondary outcome was 90-day mRS 5 or 6. Patients where then subdivided into those with mismatch ratio 1.2–1.8 or penumbra volume 10–15cc (intermediate mismatch) and those with mismatch ratio <1.2 or volume <10cc (low mismatch).

DATA SYNTHESIS: A total of 140 intermediate mismatch (75 EVT and 65 MM) and 60 low mismatch patients (23 EVT and 37 MM) were identified. EVT was significantly associated with higher odds of mRS 0–3 for intermediate mismatch (OR 2.77 [95% CI 1.11–6.89], P = .028), but not low mismatch (OR 1.47 [95% CI 0.44–4.94], P = .54). Similarly, in terms of 90-day poor outcomes (mRS 5–6), EVT for intermediate mismatch patients was significantly associated with lower odds (OR 0.49 [95% CI 0.24 to 0.99], P = .046), while EVT for the low mismatch cohort was not (OR 0.66 [95% CI 0.22 to 1.96], P = .45). There was no significant inter-study heterogeneity observed across study estimates.

CONCLUSIONS: For stroke patients with large infarcts, EVT was beneficial for patients with perfusion mismatch ratio and volume of at least 1.2 and 10cc, but not for those with mismatch ratio <1.2 or volume <10cc.

ABBREVIATIONS:

EVT
endovascular thrombectomy
MM
medical management
RCT
randomized controlled trial

SUMMARY

PREVIOUS LITERATURE:

Recent randomized trials have demonstrated that endovascular thrombectomy may be beneficial for patients with large territories of established infarct. However, whether this effectiveness is driven by facilitating the reperfusion of seemingly infarcted tissue or by salvaging areas of at-risk but not-yet-infarcted tissue is unclear. Current guidelines recommend the use of perfusion imaging to select patients for stroke thrombectomy beyond 6 hours of last-known-well neurologic findings. The role of perfusion imaging in selecting patients with stroke with large infarcts for thrombectomy is unknown.

KEY FINDINGS:

In this meta-analysis of randomized trial data, we show that the effectiveness of thrombectomy may not be the same for all patients with large infarcts, and there remain uncertainties regarding the safety and efficacy of thrombectomy for patients with limited areas of at-risk tissue.

KNOWLEDGE ADVANCEMENT:

Our findings generally support the continued use of perfusion imaging to select patients with large infarcts for EVT if it is available at the treating institution. Future studies and trials are needed to confirm the efficacy and safety of thrombectomy for patients with large infarcts and low mismatch profiles.

A series of recently published randomized controlled trials (RCTs) have demonstrated that endovascular thrombectomy (EVT) is effective for select patients with large infarcts.1 However, whether infarct size as a stand-alone imaging marker is sufficient for EVT selection remains an area of active debate.2⇓–4 On one hand, results from A Randomized Controlled Trial to Optimize Patient’s Selection for Endovascular Treatment in Acute Ischemic Stroke (SELECT2) have suggested that EVT may be beneficial for patients regardless of perfusion imaging profiles;5,6 on the other hand, the Large Stroke Therapy Evaluation (LASTE) trial showed that EVT-treated patients may experience significantly reduced infarct growth after treatment,7 suggesting that penumbra salvage may still play a central role in the efficacy of EVT.8 Most important, while EVT for patients with a large core may be beneficial in the early time window (<6 hours from time of stroke onset), whether the procedure is safe and effective for patients in later time windows is less clear.1 None of the large-infarct EVT trials used specific patient selection criteria based on the identification or quantification of the ischemic penumbra.5,9 Thus, whether or how perfusion metrics should be used to guide EVT selection for patients with large infarcts is largely unknown,3 especially for those presenting beyond 6 hours of stroke onset.

In this systematic review and meta-analysis, we sought to synthesize currently available RCT data on EVT versus medical management (MM) for patients with large ischemic territories and limited penumbra.

MATERIALS AND METHODS

This systematic review and meta-analysis is compliant with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.10 RCTs that report the efficacy and safety of EVT for patients with large infarcts (defined by either infarct core volume of >50 mL or ASPECTS11 <6) stratified by mismatch profile were included. The MEDLINE database was searched from inception to July 8, 2024, using the key words “stroke” OR “infarct,” “thrombectomy” OR “endovascular,” and “perfusion” OR “mismatch” OR “penumbra.” This was a meta-analysis of previously published data and was exempt from institutional review board ??????. All data used for analyses are publicly available.

Titles and abstracts of search results were screened independently by 2 investigators for eligibility, and non-English, nonhuman, and irrelevant or nonoriginal research works were excluded. Subsequently, full-text screening was conducted to identify randomized trials of EVT versus MM that reported outcomes stratified by perfusion profile. Each included study was assessed for bias using the RoB 2 tool (https://www.riskofbias.info/welcome/rob-2-0-tool)12 by 2 independent reviewers; disagreements were resolved by consensus.

Patients from the included studies were divided into the 2 groups:

  • 1) Intermediate mismatch: those who met the Extending the Time for Thrombolysis in Emergency Neurological Deficits-Intra-Arterial (EXTEND) criteria13 (ratio ≥1.2 and volume ≥10 mL) but not the Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke 3 (DEFUSE-3) criteria14 (ratio <1.8 or volume <15 mL).

  • 2) Low mismatch: those who met neither the EXTEND nor DEFUSE-3 criteria13,14 (ratio <1.2 or volume <10 mL).

The primary outcome was odds of acceptable outcomes (90-day mRS15 0–3). Secondary outcome was 90-day mRS 5 or 6. The number of patients in each treatment and perfusion profile group achieving each study end point was recorded.

Statistical Methods

The number of patients achieving each end point stratified by penumbra profiles was used to calculate effect sizes in each trial and was pooled using Mantel-Haenszel fixed effects models. The decision to use fixed-effects models was due to the low expected number of included studies in which case fixed-effects models are generally recommended over random effects models.16,17 Effect estimates were reported as ORs with corresponding 95% confidence intervals, and interstudy heterogeneity was assessed with the I2 and Cochran Q statistics. I2 values of ≥50% heterogeneity were considered substantial, and outcome measures with I2 ≥ 50% were deemed unsuitable for data synthesis. Publication bias was assessed using funnel plots and the Egger test as appropriate. Interaction effects between the penumbra profile and EVT effectiveness for each outcome measure were also assessed using binary logistic regression models after tabulating all patients and events across included studies. As a sensitivity analysis, random effects models were also used to confirm study findings. Statistical analyses were performed with SPSS Version 29.0 (IBM).

RESULTS

Study and Patient Inclusion

We screened 3711 studies and included 2 studies : SELECT26 and Study of Endovascular Therapy in Acute Anterior Circulation Large Vessel Occlusive Patients With a Large Infarct Core (ANGEL-ASPECT) (Fig 1).18 Details regarding the study and overall patient characteristics are presented in Tables 1 and 2. Both studies were deemed to have low risks of bias based on the RoB 2 tool for the randomization process, missing outcome data, and selection of reported results; however, given that both trials were open-label, both studies had some concerns of risk of bias in terms of deviations from intended interventions and outcome measurements. Overall, both trials had low risks of bias. Three hundred thirty-six of 352 (95.5%) and 426 of 456 (93.4%) patients randomized in SELECT2 and ANGEL-ASPECT, respectively, had adequate perfusion imaging. For both studies, the definition of ischemic core based on perfusion imaging was a relative CBF of <30%; the mismatch ratio was calculated as the volume of hypoperfused tissue (time-to-maximum of 6 seconds) divided by the core volume, and the mismatch volume was calculated as the hypoperfused volume subtracted from the core volume. In total, 140 (18.4%) patients had intermediate mismatch profiles, of whom 75 received EVT and 65 received MM. Sixty patients (7.9%) had low mismatch profiles, of whom 23 received EVT and 37 received MM.

FIG 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 1.

PRISMA flow chart.

View this table:
  • View inline
  • View popup
Table 1:

Study characteristics

View this table:
  • View inline
  • View popup
Table 2:

Patient characteristicsa

Outcomes

After data synthesis, EVT for patients with intermediate mismatch was significantly associated with higher odds of mRS 0–3 (OR, 2.77 [95% CI, 1.11–6.89]; P = .028; Fig 2), while EVT for the low mismatch cohort was not (OR, 1.47 [95% CI, 0.44–4.94]; P = .54; Fig 2). In terms of 90-day poor outcomes (mRS 5 or 6), EVT for patients with an intermediate mismatch was significantly associated with lower odds (OR, 0.49 [95% CI, 0.24–0.99]; P = .046; Fig 3), while EVT for the low-mismatch cohort was not (OR, 0.66 [95% CI, 0.22–1.96]; P = .45; Fig 3). There was no significant interstudy heterogeneity observed across study estimates (Figs 2 and 3), and funnel plots did not reveal significant publication bias (Supplemental Data). The Egger test was not performed due to the inclusion of only 2 studies. In interaction analysis, there were no significant interaction effects between the penumbra profile and EVT in terms of mRS 0–3 (P = .32) or mRS 5–6 (P = .68); however, statistical power is likely insufficient for detecting significant interaction effects.

FIG 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 2.

Individual and pooled estimates for the odds of good outcomes (mRS 0–3).

FIG 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 3.

Individual and pooled estimates for the odds of poor outcomes (mRS 5–6).

For sensitivity analysis, random effects models were used to confirm findings from fixed effects models. Here, we found that EVT for patients with intermediate mismatch remained numerically associated with higher odds of mRS 0–3, with a similar effect size compared with the estimate from the fixed effects model (OR, 2.72 [95% CI, 0.75–9.91]; P = .13). EVT for the low-mismatch cohort remained not significantly associated with different odds of mRS 0–3 (OR, 1.47 [95% CI, 0.44–4.94]; P = .54). In terms of 90-day poor outcomes (mRS 5 or 6), random effects estimates were similar, where EVT for patients with intermediate mismatch was significantly associated with lower odds (OR, 0.49 [95% CI, 0.24–0.99]; P = .047), while EVT for the low-mismatch cohort was not (OR, 0.64 [95% CI, 0.17–2.48]; P = .52). The I2 values for each estimate were 0.43, 0.00, 0.00, and 0.32, respectively, and tests for interstudy heterogeneity were not statistically significant for all 4 estimates (P > .10 for all).

DISCUSSION

In this meta-analysis of SELECT2 and ANGEL-ASPECT, we found that EVT may be associated with superior outcomes compared with MM for those with intermediate perfusion mismatch (ratio 1.2–1.8 or volume 10–15 mL), but not for those with low perfusion mismatch (ratio <1.2 or volume <10  mL).

Perfusion imaging–based patient selection for EVT has played a major role in expanding treatment indications,14 and current guidelines recommend a mismatch ratio ≥1.8 and volume ≥15 mL per DEFUSE-3 criteria for patients presenting in the extended time window.14,19⇓–21 However, despite the proved utility of perfusion imaging, recently published trials investigating the safety and efficacy of EVT for patients with large infarcts up to 24 hours of last known well did not use perfusion metrics as part of inclusion/exclusion criteria. Thus, the role of perfusion imaging metrics in selecting patients with large infarcts for EVT is largely unclear, especially in the late time window. In this meta-analysis of SELECT2 and ANGEL-ASPECT–the only 2 studies that mandated baseline perfusion imaging per protocol of the 6 recent large-infarct trials5,7,9,22⇓–24– our results revealed that EVT may be beneficial for patients with an intermediate perfusion mismatch profiles that meet the EXTEND-IA criteria13 (ratio ≥1.2 and volume ≥10 mL) but not the DEFUSE-3 criteria14 (ratio ≥1.8 and volume ≥15 mL). These findings may reflect the fact that a modest mismatch ratio in patients with large ischemic cores may still reflect large volumes of tissue ripe for salvage, and the currently available RCT data seem to overall support the expansion of EVT use to include patients with large infarcts and mismatch ratio of ≥1.2 and volume of ≥10 mL.

While patients with large infarcts and intermediate mismatch profiles seemed to benefit from EVT, our meta-analysis did not identify a treatment benefit of EVT for patients with low-mismatch profiles (ratio <1.2 or volume <10 mL). This finding may be due, in part, to the limited sample size. Prior observational studies have investigated the safety and efficacy of EVT for patients with a low mismatch; however, results have been mixed.25,26 Most important, the wide confidence intervals of pooled effect sizes seen in our analyses not only suggest a lack of clear efficacy for EVT but also raise concern for potential harm. Reperfusion of infarcts with no radiologically demonstrable viable tissue could increase the rate of hemorrhage and brain edema. Thus, the results of our study establish the clinical equipoise of EVT for patients with large infarcts and low mismatch, and randomized controlled trials are now needed to further assess the safety and efficacy of EVT in this population.

Overall, we believe our synthesis of currently available RCT data generally supports the use of perfusion imaging to select patients with large infarcts for EVT if it is available at the treating institution. Before the availability of more definitive data from dedicated randomized trials demonstrating the superiority or noninferiority of EVT for patients with large infarcts and low mismatch profiles (ratio <1.2 or volume <10 mL), we do not believe providers should forgo perfusion imaging altogether during acute stroke triage, particularly in the extended time window.

Our study has several limitations. While included studies reported patient outcomes stratified by the mismatch profile, the details regarding patient characteristics were not uniformly reported, and we do not have individualized or summary data describing the infarct size, time window, or demographic information of patients with intermediate and low mismatch. Furthermore, the sample size in our study is limited, particularly for the low-mismatch subgroup; thus, our study is likely underpowered to detect significant differences. Also, given that there are only 2 studies that met the inclusion criteria for our meta-analysis, we could not adequately assess interstudy heterogeneity. While the low number of patients and trials impact the generalizability of our estimates, we believe our findings are still important, given that they are based on the only available RCT data and that the overall dearth of available clinical data strengthens our call for dedicated trials of EVT in the low-mismatch population. Individual patient data meta-analysis may also be informative. Finally, our ability to statistically assess publication bias was also limited; however, to our knowledge, ANGEL-ASPECT and SELECT2 are the only 2 prospectively registered RCTs for large-infarct EVT that required CTP imaging per protocol; thus, we believe the risk of publication bias is low.

CONCLUSIONS

In this meta-analysis of currently available RCT data, EVT appeared likely beneficial for patients with large infarcts and a perfusion mismatch ratio ≥1.2 and penumbra volume ≥10 mL. The efficacy and safety of EVT for patients with large infarcts and low mismatch (ratio <1.2 or volume <10 mL) remain uncertain and require further investigation.

Footnotes

  • Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org

References

  1. 1.↵
    1. Chen H,
    2. Colasurdo M
    . Endovascular thrombectomy for large ischemic strokes: meta-analysis of six multicenter randomized controlled trials. J Neurointerv Surg 2024 Jan 31. [Epub ahead of print] doi:10.1136/jnis-2023-021366 pmid:38296610
    Abstract/FREE Full Text
  2. 2.↵
    1. Colasurdo M,
    2. Chen H,
    3. Gandhi D
    . Imaging large ischemic strokes: time for new insight. AJNR Am J Neuroradiol 2024;45:363–64 doi:10.3174/ajnr.A8157 pmid:38360786
    FREE Full Text
  3. 3.↵
    1. Albers GW,
    2. Heit JJ,
    3. Lansberg MG, et al
    . Exploring the limits of endovascular therapy for large core patients: where do we need more data? Stroke 2024;55:1956–60 doi:10.1161/STROKEAHA.124.047228 pmid:38836345
    CrossRefPubMed
  4. 4.↵
    1. Chen H,
    2. Lee JS,
    3. Michel P, et al
    . Endovascular stroke thrombectomy for patients with large ischemic core. JAMA Neurol 2024;81:1085–93 doi:10.1001/jamaneurol.2024.2500 pmid:39133467
    CrossRefPubMed
  5. 5.↵
    1. Sarraj A,
    2. Hassan AE,
    3. Abraham MG, et al
    ; SELECT2 Investigators. Trial of endovascular thrombectomy for large ischemic strokes. N Engl J Med 2023;388:1259–71 doi:10.1056/NEJMoa2214403 pmid:36762865
    CrossRefPubMed
  6. 6.↵
    1. Sarraj A,
    2. Hassan AE,
    3. Abraham MG, et al
    ; SELECT2 Investigators. Endovascular thrombectomy for large ischemic stroke across ischemic injury and penumbra profiles. JAMA 2024;331:750–63 doi:10.1001/jama.2024.0572 pmid:38324414
    CrossRefPubMed
  7. 7.↵
    1. Costalat V,
    2. Jovin TG,
    3. Albucher JF, et al
    ; LASTE Trial Investigators. Trial of thrombectomy for stroke with a large infarct of unrestricted size. N Engl J Med 2024;390:1677–89 doi:10.1056/NEJMoa2314063 pmid:38718358
    CrossRefPubMed
  8. 8.↵
    1. Chen H,
    2. Malhotra A,
    3. Gandhi D
    . Thrombectomy for large strokes. N Engl J Med 2024;391:378–79 doi:10.1056/NEJMc2406965 pmid:39047249
    CrossRefPubMed
  9. 9.↵
    1. Huo X,
    2. Ma G,
    3. Tong X, et al
    ; ANGEL-ASPECT Investigators. Trial of endovascular therapy for acute ischemic stroke with large infarct. N Engl J Med 2023;388:1272–83 doi:10.1056/NEJMoa2213379 pmid:36762852
    CrossRefPubMed
  10. 10.↵
    1. Page MJ,
    2. McKenzie JE,
    3. Bossuyt PM, et al
    . The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71 doi:10.1136/bmj.n71 pmid:33782057
    FREE Full Text
  11. 11.↵
    1. Barber PA,
    2. Demchuk AM,
    3. Zhang J, et al
    . Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta Stroke Programme Early CT Score. Lancet 2000;355:1670–74 doi:10.1016/s0140-6736(00)02237-6 pmid:10905241
    CrossRefPubMed
  12. 12.↵
    1. Sterne JAC,
    2. Savović J,
    3. Page MJ, et al
    . RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366:l4898 doi:10.1136/bmj.l4898 pmid:31462531
    FREE Full Text
  13. 13.↵
    1. Campbell BV,
    2. Mitchell PJ,
    3. Kleinig TJ
    . et al; EXTEND-IA Investigators. Endovascular therapy for ischemic stroke with perfusion-imaging selection. N Engl J Med 2015;372:1009–18 doi:10.1056/NEJMoa1414792 pmid:25671797
    CrossRefPubMed
  14. 14.↵
    1. Albers GW,
    2. Marks MP,
    3. Kemp S, et al
    ; DEFUSE 3 Investigators, Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med 2018;378:708–18 doi:10.1056/NEJMoa1713973 pmid:29364767
    CrossRefPubMed
  15. 15.↵
    1. van Swieten JC,
    2. Koudstaal PJ,
    3. Visser MC, et al
    . Interobserver agreement for the assessment of handicap in patients with stroke. Stroke 1988;19:604–07 doi:10.1161/01.str.19.5.604 pmid:3363593
    Abstract/FREE Full Text
  16. 16.↵
    1. Dettori JR,
    2. Norvell DC,
    3. Chapman JR
    . Fixed-effect vs random-effects models for meta-analysis: 3 points to consider. Global Spine J 2022;12:1624–26 doi:10.1177/21925682221110527 pmid:35723546
    CrossRefPubMed
  17. 17.↵
    1. Tufanaru C,
    2. Munn Z,
    3. Stephenson M, et al
    . Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness. Int J Evid Based Healthc 2015;13:196–207 doi:10.1097/XEB.0000000000000065 pmid:26355603
    CrossRefPubMed
  18. 18.↵
    1. Huo X,
    2. Nguyen TN,
    3. Sun D, et al
    . Association of mismatch profiles and clinical outcome from endovascular therapy in large infarct: a post‐hoc analysis of the ANGEL-ASPECT trial. Ann Neurol 2024;96:729–38 doi:10.1002/ana.27017 pmid:38953673
    CrossRefPubMed
  19. 19.↵
    1. Powers WJ,
    2. Rabinstein AA,
    3. 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:e344–418 doi:10.1161/STR.0000000000000211 pmid:31662037
    CrossRefPubMed
  20. 20.↵
    1. Turc G,
    2. Bhogal P,
    3. Fischer U, et al
    . European Stroke Organisation (ESO): European Society for Minimally Invasive Neurological Therapy (ESMINT)—Guidelines on Mechanical Thrombectomy in Acute Ischemic Stroke. J Neurointerv Surg 2023;15:e8 doi:10.1136/neurintsurg-2018-014569 pmid:30808653
    Abstract/FREE Full Text
  21. 21.↵
    1. Colasurdo M,
    2. Chen H,
    3. Gandhi D
    . MR imaging techniques for acute ischemic stroke and delayed cerebral ischemia following subarachnoid hemorrhage. Neuroimaging Clin N Am 2024;34:203–14 doi:10.1016/j.nic.2023.12.002 pmid:38604705
    CrossRefPubMed
  22. 22.↵
    1. Yoo AJ,
    2. Zaidat OO,
    3. Sheth SA
    ; The Writing Committee for the TESLA Investigators. Thrombectomy for stroke with large infarct on noncontrast CT. JAMA 2024;332:1355 doi:10.1001/jama.2024.13933
    CrossRefPubMed
  23. 23.↵
    1. Yoshimura S,
    2. Sakai N,
    3. Yamagami H, et al
    . Endovascular therapy for acute stroke with a large ischemic region. N Engl J Med 2022;386:1303–13 doi:10.1056/NEJMoa2118191 pmid:35138767
    CrossRefPubMed
  24. 24.↵
    1. Bendszus M,
    2. Fiehler J,
    3. Subtil F, et al
    ; TENSION Investigators. Endovascular thrombectomy for acute ischaemic stroke with established large infarct: multicentre, open-label, randomised trial. Lancet 2023;402:1753–63 doi:10.1016/S0140-6736(23)02032-9 pmid:37837989
    CrossRefPubMed
  25. 25.↵
    1. Broocks G,
    2. McDonough RV,
    3. Bechstein M, et al
    . Thrombectomy in patients with ischemic stroke without salvageable tissue on CT perfusion. Stroke 2024;55:1317–25 doi:10.1161/STROKEAHA.123.044916 pmid:38572635
    CrossRefPubMed
  26. 26.↵
    1. Lansberg MG,
    2. Straka M,
    3. Kemp S, et al
    ; DEFUSE 2 study investigators. MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study. Lancet Neurol 2012;11:860–67 doi:10.1016/S1474-4422(12)70203-X pmid:22954705
    CrossRefPubMed
  • Received September 2, 2024.
  • Accepted after revision October 21, 2024.
  • © 2025 by American Journal of Neuroradiology
PreviousNext
Back to top
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Stroke Thrombectomy for Large Infarcts with Limited Penumbra: Systematic Review and Meta-Analysis of Randomized Trials
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
Huanwen Chen, Seemant Chaturvedi, Dheeraj Gandhi, Marco Colasurdo
Stroke Thrombectomy for Large Infarcts with Limited Penumbra: Systematic Review and Meta-Analysis of Randomized Trials
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8553

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Thrombectomy for Large Infarcts: A Meta-Analysis
Huanwen Chen, Seemant Chaturvedi, Dheeraj Gandhi, Marco Colasurdo
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8553
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • 90-day Outcome Prediction in VBAO after EVT
  • Circle of Willis Variants and Stroke Outcomes
  • IVIM MRI in the Ischemic Penumbra
Show more NEUROVASCULAR/STROKE IMAGING

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire