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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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 is seeking candidates for the AJNR Podcast Editor. Read the position description.

Research ArticleADULT BRAIN
Open Access

CT Angiography ASPECTS Predicts Outcome Much Better Than Noncontrast CT in Patients with Stroke Treated Endovascularly

F. Sallustio, C. Motta, S. Pizzuto, M. Diomedi, B. Rizzato, M. Panella, F. Alemseged, M. Stefanini, S. Fabiano, R. Gandini, R. Floris, P. Stanzione and G. Koch
American Journal of Neuroradiology August 2017, 38 (8) 1569-1573; DOI: https://doi.org/10.3174/ajnr.A5264
F. Sallustio
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for F. Sallustio
C. Motta
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
cSanta Lucia Foundation (C.M., G.K.), Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Motta
S. Pizzuto
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Pizzuto
M. Diomedi
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Diomedi
B. Rizzato
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B. Rizzato
M. Panella
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Panella
F. Alemseged
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
dDepartment of Medicine and Neurology (F.A.), Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for F. Alemseged
M. Stefanini
bInterventional Radiology and Neuroradiology (M.S., S.F., R.G., R.F.), Department of Diagnostic Imaging, University Hospital of Tor Vergata, Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Stefanini
S. Fabiano
bInterventional Radiology and Neuroradiology (M.S., S.F., R.G., R.F.), Department of Diagnostic Imaging, University Hospital of Tor Vergata, Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Fabiano
R. Gandini
bInterventional Radiology and Neuroradiology (M.S., S.F., R.G., R.F.), Department of Diagnostic Imaging, University Hospital of Tor Vergata, Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Gandini
R. Floris
bInterventional Radiology and Neuroradiology (M.S., S.F., R.G., R.F.), Department of Diagnostic Imaging, University Hospital of Tor Vergata, Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Floris
P. Stanzione
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P. Stanzione
G. Koch
aFrom the Department of Neuroscience (F.S., C.M., S.P., M.D., B.R., M.P., F.A., P.S., G.K.), Comprehensive Stroke Center
cSanta Lucia Foundation (C.M., G.K.), Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G. Koch
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: Noncontrast CT ASPECTS has been investigated as a predictor of outcome in patients with acute ischemic stroke. Our purpose was to investigate whether CTA source images are a better predictor of clinical and radiologic outcomes than NCCT ASPECTS in candidates for endovascular stroke therapy.

MATERIALS AND METHODS: CT scans of patients (n = 124) were independently evaluated by 2 readers for baseline NCCT and CTA source image ASPECTS and for follow-up ASPECTS. An mRS of ≤2 at 3 months was considered a favorable outcome. Receiver operating characteristic curve analysis was used to assess the ability of NCCT and CTA source image ASPECTS to identify patients with favorable outcomes. A stepwise multiple regression analysis was performed to find independent predictors of outcome.

RESULTS: Baseline CTA source image ASPECTS correlated better than NCCT ASPECTS with follow-up ASPECTS (r = 0.76 versus r = 0.51; P for comparison of the 2 coefficients < .001). Receiver operating characteristic curve analysis showed that baseline CTA source image ASPECTS compared with NCCT ASPECTS can better identify patients with favorable outcome (CTA source image area under the curve = 0.83; 95% CI, 0.76–0.91; NCCT area under the curve = 0.67; 95% CI, 0.58–0.77; P < .001). Finally, the stepwise regression analysis showed that lower age, good recanalization, lower time to recanalization, and good baseline CTA source image ASPECTS, not NCCT ASPECTS, were independent predictors of favorable outcome.

CONCLUSIONS: CTA source image ASPECTS predicts outcome better than NCCT ASPECTS; this finding suggests CTA rather than NCCT as a main step in the decision-making process for patients with acute ischemic stroke.

ABBREVIATIONS:

CTA-SI
CTA source images
ET
endovascular stroke therapy

The Alberta Stroke Program Early CT Score merges the ability of quantifying and describing the topography of brain tissue damage produced by acute ischemic stroke in a semiquantitative way.1 ASPECTS on noncontrast CT is widely used for the assessment of early ischemic changes, and its prognostic value has already been established,2 though with poor NCCT sensitivity.3 Recent randomized controlled trials on endovascular stroke therapy (ET) have been based on strict inclusion criteria, leading to treatment of only those patients with high CT ASPECTS indicating smaller infarct burden.4⇓–6

Many attempts have been made to understand which patients are likely to undergo futile reperfusion.7 For instance, it has been recently demonstrated that patients with poor collaterals and longer time to reperfusion do not achieve good outcomes after ET.8 Thus, a careful patient selection for ET should be desirable and should be based on a multimodal neuroimaging approach in addition to onset time and stroke severity. Although not as commonly available as NCCT in the acute ischemic stroke setting, CT angiography is useful for confirmation of vessel occlusion in candidates for ET, and hypodensity on CTA source images (CTA-SI) has been shown to reliably correlate with ischemic lesion volume on diffusion-weighted imaging9 and final infarct size.10 The superiority of CTA-SI on NCCT in the detection of infarcted areas has been demonstrated for readers of all levels of experience.11 Few data exist on the value of CTA-SI ASPECTS in patients undergoing ET for acute ischemic stroke,12,13 and this lack of data may explain why only ASPECTS NCCT is currently considered in the guidelines for eligibility for ET. Our purpose was to investigate whether CTA-SI ASPECTS correlate better than NCCT ASPECTS with clinical and radiologic outcome measures in patients with acute ischemic stroke undergoing ET.

Materials and Methods

A retrospective analysis of patients identified from a prospective registry at a comprehensive stroke center (University Hospital of Tor Vergata, Rome, Italy) was performed. Patients with anterior circulation acute ischemic stroke secondary to intracranial proximal arterial occlusion (M1 MCA, M2 MCA, distal internal carotid artery, and proximal ICA plus intracranial proximal arterial occlusion) admitted within 6 hours of symptom onset were included. Due to the study period (between 2009 and 2015) before the publication of recent endovascular stroke trials,4⇓–6 no exclusion criteria other than the time from symptom onset were adopted. Patients presenting within 4.5 hours of symptom onset were treated with intravenous thrombolysis, which was continued in the angiographic suite during the endovascular procedure. Patients presenting beyond the time window for intravenous thrombolysis or with major contraindications to intravenous thrombolysis (ie, warfarin therapy with an international normalized ratio of 1.7, recent major surgery, or a history of hemorrhage/hematoma) underwent stand-alone thrombectomy. Demographics, vascular risk factors, and baseline and 24-hour NIHSS scores were reported. The modified Rankin Scale was adopted for outcome analysis, and an mRS of ≤2 at 3 months was considered a favorable outcome. The study was approved by the Tor Vergata Policlinic Ethical Committee, and informed consent was obtained from all patients or their relatives.

Image Acquisition

The NCCT and CTA were acquired with a standardized protocol. Axial CT was performed on a multisection scanner (Light Speed VCT; GE Healthcare, Milwaukee, Wisconsin) by using 120 kV and 170 mAs with a 5-mm section thickness. Continuous axial sections parallel to the orbitomeatal line were obtained from the skull base to the vertex. CTA was performed with a 64–detector row scanner. Acquisitions were obtained after single-bolus intravenous contrast injection of 90–120 mL of nonionic contrast media into an antecubital vein at 3–5 mL/s. Imaging was autotriggered by the appearance of contrast media in the ascending aorta. Standard coverage included the area from the arch to the vertex. Source images were reconstructed at a 1.25-mm thickness in the axial planes at half-thickness intervals. NCCT or DWI was performed between 1 and 7 days after stroke onset and used for follow-up ASPECTS.

Image Processing

NCCT, CTA-SI, and MR imaging (DWI sequences and apparent diffusion coefficient map) scans were independently screened for ASPECTS by 1 neuroradiologist (M.S.) and 1 stroke neurologist (G.K.) who were blinded to the patients' symptoms but aware of acute nonlacunar stroke. The readers performed their evaluation at different time periods to make their assessment blinded as much as possible. Adequate window and optimal level settings were adopted to maximize the contrast produced by attenuation differences between normal and ischemic tissue. Our ASPECTS reading includes evaluation of all axial sections (www.aspectsinstroke.com), and as in previous studies, we excluded isolated cortical swelling from the score.14 In case of a discrepancy between readers, a third neuroradiologist (R.G.) was involved to achieve a consensus. The interrater reliability was 0.71 for NCCT and 0.75 for CTA-SI, indicating a good interrater agreement for both methods.

Statistical Analysis

The analysis was performed by using STATA/IC, Version 13 (StataCorp, College Station, Texas) and GraphPad Prism software, Version 6.00 (GraphPad Software, San Diego, California). Continuous variables are summarized as mean ± SD or median with interquartile range. Categoric variables are expressed as percentages. To determine differences between the 2 groups, we used a Student t test or Mann-Whitney U test for continuous variables. Interrater agreement was estimated with the κ statistic. Comparison of frequencies among ASPECTS groups was performed with the Fisher exact test after dichotomization into poor and good ASPECTS. Univariate associations between baseline and follow-up ASPECTS were investigated with the Spearman ρ analysis, with confidence limits calculated by means of the Fisher z-transformation. Bubble plots were used to graphically display correlation analyses, and the area of the bubble has to be read as proportional to the number of observations at each point. A nonparametric receiver operating characteristic curve analysis and the area under the curve were used to assess the ability of NCCT and CTA-SI ASPECTS to identify patients with favorable outcomes (mRS ≤ 2).

We then calculated the statistical significance of the difference between the area under the curves using the method of DeLong.15 For both NCCT and CTA-SI ASPECTS, a receiver operating characteristic curve was used to identify the best cutoff point with which to maximize the sensitivity and specificity for discriminating patients with favorable outcomes. A backward and forward stepwise logistic regression analysis was finally performed to determine the independent predictors of good outcome (mRS ≤ 2), including NCCT and CTA-SI ASPECTS as well as all other variables with a significant association in univariate analysis, to weigh for potentially confounding factors. Odds ratios with standard errors and 95% confidence intervals were provided. A P value < .05 was considered statistically significant.

Results

Of 167 patients with anterior circulation stroke, 124 had complete CT, CTA, and clinical data and were included in the analysis. Baseline characteristics are summarized in Table 1. Single-artery occlusion (ICA, anterior cerebral artery, and middle cerebral artery) was diagnosed in 55.6%, whereas tandem lesions occurred in 44.3% of patients. Correlation analysis showed that baseline CTA-SI ASPECTS correlated better with follow-up ASPECTS (r = 0.76; 95% CI, 0.67–0.83; P < .001) than baseline NCCT ASPECTS (r = 0.51; 95% CI, 0.36–63; P < .001; P for comparison of the 2 coefficients < .001) (Fig 1). Furthermore, the ability to identify patients with good outcome (mRS ≤ 2), revealed by receiver operating characteristic curve analysis, was significantly higher for CTA-SI ASPECTS with respect to NCCT ASPECTS (CTA-SI area under the curve, 0.83; 95% CI, 0.76–0.91; NCCT area under the curve, 0.67; 95% CI, 0.58–0.77; P < .001). According to each receiver operating characteristic curve, we determined cutoff values (Table 2), on the basis of which we defined a good CTA-SI ASPECTS as ≥5 and a good NCCT ASPECTS as ≥8. Most interesting, a median baseline NCCT ASPECTS of 9 resulted from a recent meta-analysis of 5 endovascular stroke trials.16 No statistical difference was found in onset-to-imaging acquisition time between good and poor ASPECTS groups (good CTA-SI, 135 ± 56 minutes versus poor CTA-SI, 137 ± 52 minutes; P > .05; good NCCT, 129 ± 54 minutes versus poor NCCT, 131 ± 54 minutes; P > .05).

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

Patient characteristics

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

ROC curve analysis—CTA-SI ASPECTS and NCCT ASPECTS cutoff values indicating patients with good clinical outcomes

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

Correlation of ASPECTS on NCCT (A) and CTA-SI (B) with follow-up ASPECTS. The area of the bubble is proportional to the number of patient observations at that data point.

Factors predicting favorable outcome (mRS ≤ 2, n = 48) in univariate analysis were both good NCCT ASPECTS and good CTA-SI ASPECTS, as well as age, baseline NIHSS, time to recanalization, and good recanalization (TICI ≥ 2b) (Table 3). To find the best outcome predictors, we finally constructed backward and forward stepwise regression analyses, including all variables significantly associated with favorable outcome in the univariate analysis. Both the backward and forward procedures showed that good CTA-SI ASPECTS, age, good recanalization, and time to recanalization remained independent predictors of good clinical outcome, indicating CTA-SI ASPECTS as a better predictor of functional outcome than NCCT ASPECTS (Table 4).

View this table:
  • View inline
  • View popup
Table 3:

Univariate analysis—variables associated with good clinical outcome

View this table:
  • View inline
  • View popup
Table 4:

Multivariable regression model—best predictors of good clinical outcome

Discussion

ET seems a safe and effective adjuvant treatment strategy for patients with acute ischemic stroke secondary to large intracranial vessel occlusion in the anterior circulation,4,17 and many attempts have been made in the recent past to better select those patients who can reliably benefit from ET.7 One such effort has been in recent randomized endovascular stroke trials that included only patients with small infarct size as defined by an ASPECTS of >6–7 on NCCT.5,6 Among these trials, the Multicenter Randomized Clinical trial of Endovascular treatment for Acute ischemic stroke in the Netherlands (MR CLEAN) was the only one to include patients on the basis of time from symptom onset and confirmation of occlusion on neuroimaging.4 Nevertheless, a recent meta-analysis of these trials showed a median baseline CT ASPECTS of 9. Consequently, from all these trials, we have learned that ET works, but we do not know yet whether this kind of reperfusion therapy would be safe and effective in patients with lower ASPECTS.

Regarding these findings, a recent subgroup analysis from the MR CLEAN data showed that patients with NCCT ASPECTS of 5–7, not only those with NCCT ASPECTS of 8–10, may also benefit from ET. This study could not provide further information on patients with NCCT ASPECTS of 0–4 because of a paucity of data.18 Therefore, there are not thorough data concerning the effects of ET in patients with larger infarct burdens, and we only know that those with lower ASPECTS could be unsuitable for ET19 but cannot be excluded from treatment. A recent study of 249 patients showed a rate of good outcome of 5% in the CT ASPECTS group of 0–4 and of 38.5% in the CT ASPECTS group of 5–8,7 suggesting a chance for ET in patients with larger infarct burden. Further scientific effort is warranted to identify any markers that could better predict outcome and give useful information for the decision-making process.

Thus, CTA can depict the area of ischemia (though not necessarily infarcted) much better than NCCT, especially when analyzing parenchymal CTA-SI.12 Hypodensity on CTA-SI provides greater demarcation between normal and abnormal tissue, and this finding could be explained by the ability of CTA to detect alterations in cerebral blood volume, as opposed to cytotoxic edema on NCCT, with a threshold insufficient to produce NCCT changes.11 In a small previous study, CTA-SI was shown to be more sensitive in the early detection of irreversible ischemia and more accurate in the prediction of final infarct size.13 Our results confirm those from Bhatia et al,20 suggesting CTA-SI ASPECTS prior to ET as a better predictor of final infarction. In our study, we also compared CTA-SI ASPECTS and NCCT ASPECTS to evaluate whether the former can improve prediction of clinical outcome. We used receiver operating characteristic curve analysis and found that baseline CTA-SI ASPECTS compared with NCCT ASPECTS can better identify patients with functional independence at 3 months.

Moreover, our study, different from the study of Bhatia et al,20 also analyzed reperfusion data. In particular, we found that good reperfusion was a predictor of good outcome in univariate analysis and remains a significant and independent predictor of good outcome in a multivariable regression model together with age, time to reperfusion, and CTA-SI ASPECTS, but not NCCT ASPECTS. In line with this finding, good reperfusion has been recently demonstrated to improve the rate of good outcome irrespective of ASPECTS.21

Limitations

Our study has several limitations primarily due to the retrospective methodology of analysis. Moreover, the sample size was relatively small and may limit the reliability of results. Larger multicenter studies are needed to conclusively demonstrate the utility of CTA-SI in clinical decision-making.

Conclusions

Our study shows that CTA-SI ASPECTS can predict final infarct size and outcome better than NCCT ASPECTS. This finding suggests that CTA-SI, rather than NCCT, should be considered a main step of the decision-making process in patients with acute ischemic stroke.

Acknowledgments

We thank all stroke neurologists of the Comprehensive Stroke Center at the University of Tor Vergata (Angela Giordano, MD, Vittoria Carla D'Agostino, PhD, Barbara Rizzato, PhD, Simone Napolitano, MD, Domenico Samà, PhD) and interventional radiologists of the Department of Diagnostic Imaging at the University of Tor Vergata (Daniel Konda, MD, Enrico Pampana, MD) for data collection.

Footnotes

  • Disclosures: Fabrizio Sallustio—RELATED: Grant: Italian Ministry of Health (RF-2013-02358679)*. Caterina Motta—RELATED: Grant: Italian Ministry of Health (RF-2013-02358679)*. Marina Diomedi—UNRELATED: Payment for Lectures Including Service on Speakers Bureaus: Italian Society of Neurology (Symposium of Bristol Myers–Squibb and Pfizer), Comments: €1000 for a lecture. Paolo Stanzione—UNRELATED: Board Membership: Union Chimique Belge (UCB), Sandoz, Comments: Advisory Board; Grants/Grants Pending: UCB, Boehringer, Comments: unrestricted grants for sleep disturbances in Parkinson disease, unrestricted grant for a Masters Degree in Neurovascular Disease*; Payment for Lectures Including Service on Speakers Bureaus: UCB, Chiesi, Comments: Continuous Education in Medicine in Italy. *Money paid to the institution.

  • This work was supported by a grant from the Italian Ministry of Health (RF-2013-02358679).

  • Ethics approval for this study was obtained from the Tor Vergata Policlinic ethics committee.

Indicates open access to non-subscribers at www.ajnr.org

REFERENCES

  1. 1.↵
    1. Barber PA,
    2. Demchuk AM,
    3. Zhang J, et al
    ; ASPECTS Study Group. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. Lancet 2000;355:1670–74 doi:10.1016/S0140-6736(00)02237-6 pmid:10905241
    CrossRefPubMed
  2. 2.↵
    1. Dzialowski I,
    2. Hill MD,
    3. Coutts SB, et al
    . Extent of early ischemic changes on computed tomography (CT) before thrombolysis: prognostic value of the Alberta Stroke Program Early CT Score in ECASS II. Stroke 2006;37:973–78 doi:10.1161/01.STR.0000206215.62441.56 pmid:16497977
    Abstract/FREE Full Text
  3. 3.↵
    1. Menon BK,
    2. Puetz V,
    3. Kochar P, et al
    . ASPECTS and other neuroimaging scores in the triage and prediction of outcome in acute stroke patients. Neuroimaging Clin North Am 2011;21:407–23 doi:10.1016/j.nic.2011.01.007 pmid:21640307
    CrossRefPubMed
  4. 4.↵
    1. Berkhemer OA,
    2. Fransen PS,
    3. Beumer D, et al
    . A randomized trial of intraarterial treatment for acute ischemic stroke. N Engl J Med 2015;372:11–20 doi:10.1056/NEJMoa1411587 pmid:25517348
    CrossRefPubMed
  5. 5.↵
    1. Goyal M,
    2. Demchuk AM,
    3. Menon BK, et al
    . Randomized assessment of rapid endovascular treatment of ischemic stroke. N Engl J Med 2015;372:1019–30 doi:10.1056/NEJMoa1414905 pmid:25671798
    CrossRefPubMed
  6. 6.↵
    1. Jovin TG,
    2. Chamorro A,
    3. Cobo E, et al
    . Thrombectomy within 8 hours after symptom onset in ischemic stroke. N Engl J Med 2015;372:2296–306 doi:10.1056/NEJMoa1503780 pmid:25882510
    CrossRefPubMed
  7. 7.↵
    1. Yoo AJ,
    2. Zaidat OO,
    3. Chaudhry ZA, et al
    . Impact of pretreatment noncontrast CT Alberta Stroke Program Early CT score on clinical outcome after intra-arterial stroke therapy. Stroke 2014;45:746–51 doi:10.1161/STROKEAHA.113.004260 pmid:24503670
    Abstract/FREE Full Text
  8. 8.↵
    1. Sallustio F,
    2. Motta C,
    3. Pizzuto S, et al
    . CT angiography-based collateral flow and time to reperfusion are strong predictors of outcome in endovascular treatment of patients with stroke. J Neurointerv Surg 2016 Sep 23. [Epub ahead of print] doi:10.1136/neurintsurg-2016-012628 pmid:27663559
    Abstract/FREE Full Text
  9. 9.↵
    1. Schramm P,
    2. Schellinger PD,
    3. Fiebach JB, et al
    . Comparison of CT and CT angiography source images with diffusion-weighted imaging in patients with acute stroke within 6 hours after onset. Stroke 2002;33:2426–32 doi:10.1161/01.STR.0000032244.03134.37 pmid:12364733
    Abstract/FREE Full Text
  10. 10.↵
    1. Lev MH,
    2. Segal AZ,
    3. Farkas J, et al
    . Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke 2001;32:2021–28 doi:10.1161/hs0901.095680 pmid:11546891
    Abstract/FREE Full Text
  11. 11.↵
    1. Aviv RI,
    2. Shelef I,
    3. Malam S, et al
    . Early stroke detection and extent: impact of experience and the role of computed tomography angiography source images. Clin Radiol 2007;62:447–52 doi:10.1016/j.crad.2006.11.019 pmid:17398270
    CrossRefPubMed
  12. 12.↵
    1. Nabavi DG,
    2. Kloska SP,
    3. Nam EM, et al
    . MOSAIC: Multimodal Stroke Assessment Using Computed Tomography—novel diagnostic approach for the prediction of infarction size and clinical outcome. Stroke 2002;33:2819–26 doi:10.1161/01.STR.0000043074.39077.60 pmid:12468776
    Abstract/FREE Full Text
  13. 13.↵
    1. Camargo EC,
    2. Furie KL,
    3. Singhal AB, et al
    . Acute brain infarct: detection and delineation with CT angiographic source images versus nonenhanced CT scans. Radiology 2007;244:541–48 doi:10.1148/radiol.2442061028 pmid:17581888
    CrossRefPubMed
  14. 14.↵
    1. Puetz V,
    2. Dzialowski I,
    3. Hill MD, et al
    . The Alberta Stroke Program Early CT Score in clinical practice: what have we learned? Int J Stroke 2009;4:354–64 doi:10.1111/j.1747-4949.2009.00337.x pmid:19765124
    CrossRefPubMed
  15. 15.
    1. DeLong ER,
    2. DeLong DM,
    3. Clarke-Pearson DL
    . Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837–45
    CrossRefPubMed
  16. 16.↵
    1. Goyal M,
    2. Menon BK,
    3. van Zwam WH, et al
    ; HERMES collaborators. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet 2016;387:1723–31 doi:10.1016/S0140-6736(16)00163-X pmid:26898852
    CrossRefPubMed
  17. 17.↵
    1. Sallustio F,
    2. Koch G,
    3. Di Legge S, et al
    . Intra-arterial thrombectomy versus standard intravenous thrombolysis in patients with anterior circulation stroke caused by intracranial occlusions: a single-center experience. J Stroke Cerebrovasc Dis 2013;22:e323–31 doi:10.1016/j.jstrokecerebrovasdis.2013.01.001 pmid:23379980
    CrossRefPubMed
  18. 18.↵
    1. Yoo AJ,
    2. Berkhemer OA,
    3. Fransen PS, et al
    ; MR CLEAN investigators. Effect of baseline Alberta Stroke Program Early CT Score on safety and efficacy of intra-arterial treatment: a subgroup analysis of a randomised phase 3 trial (MR CLEAN). Lancet Neurol 2016;15:685–94 doi:10.1016/S1474-4422(16)00124-1 pmid:27302238
    CrossRefPubMed
  19. 19.↵
    1. Wahlgren N,
    2. Moreira T,
    3. Michel P, et al
    ; ESO-KSU, ESO, ESMINT, ESNR and EAN. Mechanical thrombectomy in acute ischemic stroke: consensus statement by ESO-Karolinska Stroke Update 2014/2015, supported by ESO, ESMINT, ESNR and EAN. Int J Stroke 2016;11:134–47 doi:10.1177/1747493015609778 pmid:26763029
    CrossRefPubMed
  20. 20.↵
    1. Bhatia R,
    2. Bal SS,
    3. Shobha N, et al
    ; Calgary CTA Group. CT angiographic source images predict outcome and final infarct volume better than noncontrast CT in proximal vascular occlusions. Stroke 2011;42:1575–80 doi:10.1161/STROKEAHA.110.603936 pmid:21566239
    Abstract/FREE Full Text
  21. 21.↵
    1. Noorian AR,
    2. Rangaraju S,
    3. Sun CH, et al
    . Endovascular therapy in strokes with ASPECTS 5–7 may result in smaller infarcts and better outcomes as compared to medical treatment alone. Interv Neurol 2015;4:30–37 doi:10.1159/000438775 pmid:26600794
    CrossRefPubMed
  • Received October 14, 2016.
  • Accepted after revision March 24, 2017.
  • © 2017 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (8)
American Journal of Neuroradiology
Vol. 38, Issue 8
1 Aug 2017
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
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.
CT Angiography ASPECTS Predicts Outcome Much Better Than Noncontrast CT in Patients with Stroke Treated Endovascularly
(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
F. Sallustio, C. Motta, S. Pizzuto, M. Diomedi, B. Rizzato, M. Panella, F. Alemseged, M. Stefanini, S. Fabiano, R. Gandini, R. Floris, P. Stanzione, G. Koch
CT Angiography ASPECTS Predicts Outcome Much Better Than Noncontrast CT in Patients with Stroke Treated Endovascularly
American Journal of Neuroradiology Aug 2017, 38 (8) 1569-1573; DOI: 10.3174/ajnr.A5264

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
CT Angiography ASPECTS Predicts Outcome Much Better Than Noncontrast CT in Patients with Stroke Treated Endovascularly
F. Sallustio, C. Motta, S. Pizzuto, M. Diomedi, B. Rizzato, M. Panella, F. Alemseged, M. Stefanini, S. Fabiano, R. Gandini, R. Floris, P. Stanzione, G. Koch
American Journal of Neuroradiology Aug 2017, 38 (8) 1569-1573; DOI: 10.3174/ajnr.A5264
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
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Neuroanatomy of the middle cerebral artery: implications for thrombectomy
  • Endovascular thrombectomy beyond 12 hours of stroke onset: a stroke networks experience of late intervention
  • Crossref (22)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Neuroanatomy of the middle cerebral artery: implications for thrombectomy
    Maksim Shapiro, Eytan Raz, Erez Nossek, Breehan Chancellor, Koto Ishida, Peter Kim Nelson
    Journal of NeuroInterventional Surgery 2020 12 8
  • Pretreatment predictors of malignant evolution in patients with ischemic stroke undergoing mechanical thrombectomy
    Alessandro Davoli, Caterina Motta, Giacomo Koch, Marina Diomedi, Simone Napolitano, Angela Giordano, Marta Panella, Daniele Morosetti, Sebastiano Fabiano, Roberto Floris, Roberto Gandini, Fabrizio Sallustio
    Journal of NeuroInterventional Surgery 2018 10 4
  • Endovascular thrombectomy beyond 12 hours of stroke onset: a stroke network’s experience of late intervention
    Ronan Motyer, John Thornton, Sarah Power, Paul Brennan, Alan O’Hare, Seamus Looby, David J Williams, Barry Moynihan, Sean Murphy
    Journal of NeuroInterventional Surgery 2018 10 11
  • CT Imaging of Acute Ischemic Stroke
    D. Byrne, J. P. Walsh, G. Sugrue, S. Nicolaou, A. Rohr
    Canadian Association of Radiologists Journal 2020 71 3
  • Selection of anterior circulation acute stroke patients for mechanical thrombectomy
    Fabrizio Sallustio, Nicola Toschi, Alfredo Paolo Mascolo, Federico Marrama, Daniele Morosetti, Valerio Da Ros, Roberto Gandini, Fana Alemseged, Giacomo Koch, Marina Diomedi
    Journal of Neurology 2019 266 11
  • Total and regional ASPECT score for non-contrast CT, CT angiography, and CT perfusion: inter-rater agreement and its association with the final infarction in acute ischemic stroke patients
    Yue Chu, Gao Ma, Xiao-Quan Xu, Shan-Shan Lu, Yue-Zhou Cao, Hai-Bin Shi, Sheng Liu, Fei-Yun Wu
    Acta Radiologica 2022 63 8
  • Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke
    XiaoQing Cheng, JiaQian Shi, Hang Wu, Zheng Dong, Jia Liu, MengJie Lu, ChangSheng Zhou, QuanHui Liu, XiaoQin Su, Zhao Shi, YingLe Li, WuSheng Zhu, GuangMing Lu
    European Journal of Radiology 2021 143
  • Clinically Approximated Hypoperfused Tissue in Large Vessel Occlusion Stroke
    Shashvat M. Desai, Santiago Ortega-Gutierrez, Sunil A. Sheth, Mudassir Farooqui, Victor Lopez-Rivera, Cynthia Zevallos, Sergio Salazar-Marioni, Darko Quispe-Orozco, Rania Abdelkhaliq, Daniel A. Tonetti, Tudor G. Jovin, Ashutosh P. Jadhav
    Stroke 2021 52 6
  • Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion
    Lasse Hokkinen, Teemu Mäkelä, Sauli Savolainen, Marko Kangasniemi
    Acta Radiologica Open 2021 10 11
  • Incremental value of Alberta Stroke Program Early CT Score to collateral score for predicting target mismatch in stroke patients with extended time window or unknown onset time
    Gao Ma, Yue-Zhou Cao, Xiao-Quan Xu, Shan-Shan Lu, Qiang-Hui Liu, Hai-Bin Shi, Sheng Liu, Fei-Yun Wu
    Neurological Sciences 2022 43 2

More in this TOC Section

ADULT BRAIN

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Clinical Outcomes After Chiari I Decompression
  • Segmentation of Brain Metastases with BLAST
Show more ADULT BRAIN

INTERVENTIONAL

  • SAVE vs. Solumbra Techniques for Thrombectomy
  • Contrast-Induced Encephalopathy after NeuroIR
  • CT Perfusion&Reperfusion in Acute Ischemic Stroke
Show more INTERVENTIONAL

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

Special Collections

  • AJNR Awards
  • ASNR Foundation Special Collection
  • Most Impactful AJNR Articles
  • Photon-Counting CT
  • Spinal CSF Leak Articles (Jan 2020-June 2024)

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

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