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

CT Angiography in Evaluating Large-Vessel Occlusion in Acute Anterior Circulation Ischemic Stroke: Factors Associated with Diagnostic Error in Clinical Practice

B.A.C.M. Fasen, R.J.J. Heijboer, F.-J.H. Hulsmans and R.M. Kwee
American Journal of Neuroradiology April 2020, 41 (4) 607-611; DOI: https://doi.org/10.3174/ajnr.A6469
B.A.C.M. Fasen
aFrom the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B.A.C.M. Fasen
R.J.J. Heijboer
aFrom the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R.J.J. Heijboer
F.-J.H. Hulsmans
aFrom the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for F.-J.H. Hulsmans
R.M. Kwee
aFrom the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R.M. Kwee
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: It is currently not completely clear how well radiologists perform in evaluating large-vessel occlusion on CTA in acute ischemic stroke. The purpose of this study was to investigate potential factors associated with diagnostic error.

MATERIALS AND METHODS: Five hundred twenty consecutive patients with a clinical diagnosis of acute ischemic stroke (49.4% men; mean age, 72 years) who underwent CTA to evaluate large-vessel occlusion of the proximal anterior circulation were included. CTA scans were retrospectively reviewed by a consensus panel of 2 neuroradiologists. Logistic regression analysis was performed to investigate the association between several variables and missed large-vessel occlusion at the initial CTA interpretation.

RESULTS: The prevalence of large-vessel occlusion was 16% (84/520 patients); 20% (17/84) of large-vessel occlusions were missed at the initial CTA evaluation. In multivariate analysis, non-neuroradiologists were more likely to miss large-vessel occlusion compared with neuroradiologists (OR = 5.62; 95% CI, 1.06–29.85; P = .04), and occlusions of the M2 segment were more likely to be missed compared with occlusions of the distal internal carotid artery and/or M1 segment (OR = 5.69; 95% CI, 1.44–22.57; P = .01). There were no calcified emboli in initially correctly identified large-vessel occlusions. However, calcified emboli were present in 4 of 17 (24%) initially missed or misinterpreted large-vessel occlusions.

CONCLUSIONS: Several factors may have an association with missing a large-vessel occlusion on CTA, including the CTA interpreter (non-neuroradiologists versus neuroradiologists), large-vessel occlusion location (M2 segment versus the distal internal carotid artery and/or M1 segment), and large-vessel occlusion caused by calcified emboli. Awareness of these factors may improve the accuracy in interpreting CTA and eventually improve stroke outcome.

ABBREVIATIONS:

EVT
endovascular thrombectomy
LVO
large-vessel occlusion

Stroke is a leading cause of global mortality and disability.1 Randomized controlled trials have recently shown that endovascular thrombectomy (EVT) significantly reduces disability in patients with acute ischemic stroke caused by large-vessel occlusion (LVO) of the proximal anterior circulation.2⇓-4 Therefore, EVT is currently considered the standard of care, and it is recommended that all potential EVT candidates (ie, patients with clinically suspected LVO [eg, Los Angeles Motor Scale score of ≥4] and presentation within 6 hours of symptom onset) are rapidly screened for LVO using CTA.5 This paradigm shift has a great impact on the workflow of radiology departments in stroke centers worldwide because they are required to provide rapid and accurate CTA evaluation with 24/7 coverage. In our hospital, which is one of the largest general hospitals in the Netherlands and a primary stroke center (ie, capable of administering intravenous thrombolytics but not EVT), CTA was introduced as a standard of care after the results from the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) were published in January 2015.2

However, it is currently not completely clear how well radiologists perform in interpreting CTA in clinical practice. Unfamiliarity in reading CTA particularly among non-neuroradiologists, the crucial need for rapid diagnosis often during on-call hours, and the relatively small caliber of the M2 and A2 segments may lead to diagnostic error. Knowledge of potential factors associated with diagnostic error may be helpful to optimize accurate interpretation of CTA. Therefore, the purpose of our study was to investigate potential factors associated with diagnostic error in evaluating LVO on CTA in acute ischemic stroke.

MATERIALS AND METHODS

Patients

This retrospective study was approved by the institutional review board of our hospital (No. Z2019102), and patient consent was waived. Five hundred twenty consecutive patients with a clinical diagnosis of acute ischemic stroke (49% men; mean age, 72 years; range, 19–100 years) who underwent CTA to evaluate LVO of the proximal anterior circulation at Zuyderland Medical Center between January 2019 and August 2019 were included. Patients with suspected posterior circulation symptoms or occlusion were excluded from the study.

CTA Protocol

CT was performed using either 64-section CT scanners (Brilliance, 168 patients, Incisive, 43 patients, Philips Healthcare, Best, the Netherlands; or Somatom Definition AS, 302 patients, Siemens, Erlangen, Germany) or on a 64-section dual-source scanner (Somatom Definition Flash, 7 patients; Siemens). CTA was performed with 60 mL of iobitridol (Xenetix 300; Guerbet, Aulnay-sous-Bois, France) using a bolus-tracking technique (Philips scanners) or after a test bolus (Siemens scanners) at an injection speed of 5 mL/s. Scanning parameters were the following: collimation = 64 × 0.625 mm (Philips scanners) or 64 × 0.6 mm (Siemens scanners), 120 kV(peak) (Philips scanners) or 100 kVp (Siemens scanners), 250 mAs (Philips Brilliance) or 117 mAs (Philips Incisive) or 130 mAs (Siemens scanners), pitch = 0.391 (Philips Brilliance) or 0.60 (Philips Incisive) or 1.2 (Siemens scanners), and matrix size = 512 × 512. CTA images were reconstructed in the transverse plane with 0.67-mm section thickness and a 0.33-mm increment (Philips scanners) or with 1.0-mm section thickness and a 0.5-mm increment (Siemens scanners).

Initial CTA Interpretation

CTA scans were prospectively read and reported by either neuroradiologists (n = 4), non-neuroradiologists (n = 15), or senior radiology residents (n = 10) during office hours (8:00 am to 5:00 pm on weekdays) and on-call hours (5:00 pm to 8:00 am on weekdays, weekends, and official holidays). LVO was defined as the presence of a contrast filling defect in any of the following segments of the proximal anterior circulation: the distal intracranial carotid artery, M1 and M2 segments of the middle cerebral artery, and A1 and A2 segments of the anterior cerebral artery. Readers were able to interpret CTA in conjunction with noncontrast head CT, which was acquired just before CTA. CT images were analyzed on a PACS workstation with MIP and MPR capabilities.

Reference Standard

CTA scans were retrospectively reviewed for the presence or absence of LVO by a consensus panel of 2 neuroradiologists (R.M.K. and F.-J.H.H.). In case of LVO, whether it was caused by a calcified embolus was also recorded. Calcified emboli are considerably more attenuated (mean, 162 HU; range, 79–435 HU) than intraluminal thrombi (typical range, 50–70 HU) and are round or ovoid (not tubular or linear-like vascular wall calcifications).6 There were no disagreements between the 2 neuroradiologists.

Statistical Analysis

Statistical analyses were performed using MedCalc statistical software for Windows, Version 12.6.0 (MedCalc Software, Mariakerke, Belgium). Logistic regression analysis was performed to investigate the association among interpreters (neuroradiologists, non-neuroradiologists, or senior residents), time of CTA interpretation (on-call hours versus office hours), availability of specified clinical information (lateralizing symptoms/signs or suspected location of stroke reported on the request form for CTA), location of LVO (M2 segment versus distal internal carotid artery and/or M1 segment), and missed LVO at initial interpretation. Significant variables in univariate analysis (ie, predefined P value < .10) were considered for multivariate analysis.7

RESULTS

The prevalence of LVO was 16% (84/520 patients). The anatomic distribution of LVOs is shown in Table 1. Twenty percent of LVOs (17/84) were missed at initial CTA evaluation. In univariate analysis, non-neuroradiologists were more likely to miss LVOs compared with neuroradiologists, and occlusions of the M2 segment (Fig 1) were more likely to be missed compared with occlusions of the distal internal carotid artery and/or M1 segment (Table 2). The time of CTA interpretation and the availability of specified clinical information (lateralizing symptoms/signs or suspected location of stroke reported on the request form for CTA) were not significantly associated with missing LVO (Table 2). In multivariate analysis, the type of interpreter (non-neuroradiologists versus neuroradiologists, OR = 5.62; 95% CI, 1.06–29.85, P = .04) and the location of the LVO (M2 segment versus the distal internal carotid artery and/or M1 segment, OR = 5.69; 95% CI, 1.44–22.57, P = .01) remained significantly associated with missing the LVO at initial CTA evaluation (Table 3). In all correctly identified LVOs at initial CTA interpretation, there were no calcified emboli. However, calcified emboli were present in 4 of 17 (24%) initially missed or misinterpreted LVOs. In 3 patients, calcified emboli were missed (2 in the M1 segment, 1 in the M2 segment), whereas in 1 patient, a calcified embolus in the M2 segment was misinterpreted as clinically irrelevant calcification (Fig 2). In 16 patients with missed anterior circulation LVO, mRS scores after a median follow-up of 46.5 days (range, 6–163 days) were 1 (n = 5), 2 (n = 7), 3 (n = 1), 4 (n = 1), and 6 (n = 2). One patient with a missed anterior circulation LVO was lost to follow-up: This patient was transferred to a comprehensive stroke center because of complete hemiparesis with brain swelling requiring possible decompressive craniectomy.

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

Anatomic distribution of LVOs

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

A 75-year-old male patient with acute ischemic stroke. At initial CTA evaluation, occlusion of 1 of the M2 segment branches of the left middle cerebral artery (arrows on all slices) was missed. Consecutive axial CTA slices in a caudocranial direction (A–D) show a contrast filling defect in a branch of the left M2 segment (arrows in C and D). Note that 2 adjacent branches of the left M2 segment show normal contrast filling on all slices (arrowheads).

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

Variables potentially associated with missing LVO at initial CTA evaluation; results of univariate logistic regression analysisa

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

A 70-year-old male patient with acute ischemic stroke. At initial CTA evaluation, LVO due to a calcified embolus in the M2 segment of the left middle cerebral artery (arrows in CTA image, A; and in a noncontrast head CT image, B) was misinterpreted as clinically irrelevant calcification. Follow-up MR imaging (FLAIR image, C; and diffusion-weighted image, D) 1 day after CTA reveals infarction in the left middle cerebral artery territory (arrows).

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

Variables potentially associated with missing LVO at initial CTA evaluation; results of multivariate logistic regression analysisa

DISCUSSION

In patients experiencing a typical large-vessel acute ischemic stroke, 1.9 million neurons are destroyed each minute that the stroke is untreated.8 Rapid and accurate detection of LVO on CTA is of crucial importance so that EVT can be performed as soon as possible to reduce disability. The prevalence of LVO in our study was 16%, which is comparable with prevalence values reported in the literature.9,10 Most striking, we found that as much as 20% of LVOs were missed or misinterpreted at initial CTA interpretation in clinical practice.

Errors and discrepancies are uncomfortably common, with an estimated day-to-day rate of 3%–5% of radiology studies reported, and even higher rates reported in many targeted studies.11 CTA evaluation for intracranial LVO appears to be no exception, with a total error rate of 3.3% (17 of all 520 CTA scans analyzed in this study). Potential factors associated with diagnostic error need to be uncovered and highlighted to prevent repetition and improve patient care. We found that non-neuroradiologists were more likely to miss LVOs compared with neuroradiologists. A plausible explanation could be that neuroradiologists are more experienced in evaluating CTA of the intracranial vasculature. We also found that occlusions in the M2 segment of the middle cerebral artery were more likely to be missed compared with occlusions in the distal internal carotid artery and/or M1 segment. The relatively smaller caliber, tortuous course, and variable branching pattern of the M2 segment12 may be potential causes of perception error. Radiologists should be aware of these causes and carefully scrutinize branches of the M2 segment. The use of MIP and/or MPR may be helpful.13,14 In addition, the use of wavelet-based reconstruction (which improves image quality),15 multiphase CTA,16,17 CT perfusion maps,17,18 angiographic volume perfusion CT reconstructions (4D CTA),18 and/or automated software19 may help to further improve the detection of LVO.

All 4 calcified emboli (2 in the M1 segment and 2 in the M2 segment) were either missed or misinterpreted at initial CTA evaluation in our study. The most probable reason for this diagnostic error is unfamiliarity with this entity. In a previous study, 27% of calcified emboli were misinterpreted and 9% were overlooked on noncontrast head CT.6 Once thought to be rare,20 calcified emboli are now considered more common than previously assumed.6 The prevalence in a former study in patients with stroke with acute LVO was 1.3%,21 whereas it was even higher in our study: 4.8% (4 of 84 patients with acute LVO). Removal of calcified emboli may be challenging, but successful recanalization can be achieved by mechanical thrombectomy.21,22 We believe that it is critical to interpret CTA in conjunction with thin-section noncontrast CT because calcified emboli may be more conspicuous on nonenhanced CT images. Furthermore, hyperdense thrombus may also be identified more easily using thin-section noncontrast CT.23 We speculated that LVOs may be more easily missed during on-call hours. However, our study findings do not support this hypothesis. Although the availability of specified clinical information (lateralizing symptoms/signs or suspected location of stroke reported on the request form for CTA) enables a more targeted search, we did not find evidence that its absence was associated with missing LVOs.

Our study has some potential limitations. First, we did not have confirmation of CTA findings with DSA. However, CTA using modern CT scanners provides equivalent information of the large intracranial arteries compared with DSA.24 Second, CTA evaluation may be subject to some degree of interobserver variation. However, the purpose of our study was to evaluate potential factors associated with diagnostic error rather than investigating interobserver variability. Moreover, retrospective review of CTA scans in a calm research setting does not reflect CTA evaluation in a usually busy clinical setting needing rapid diagnosis. Third, because of the retrospective nature of our study and the complexity, we could not investigate other potential sources of diagnostic error, including reading speed, fatigue, workload, and frequency of interruptions and distractions during CTA evaluation. Fourth, because A1 and A2 segment occlusions were scarce (only 1.2% of all LVOs) in our study, no conclusions can be drawn for these segments. However, A1 and A2 segment occlusions are overall less relevant from an incidence point of view (only 0.6% of all anterior circulation LVOs in the MR CLEAN trial).2

CONCLUSIONS

Twenty percent of LVOs were missed at initial CTA evaluation in clinical practice. Several factors may have an association with missing an LVO on CTA, including CTA interpreter (non-neuroradiologists versus neuroradiologists), LVO location (M2 segment versus distal internal carotid artery and/or M1 segment), and LVO caused by calcified emboli. Awareness of these factors may improve accuracy in interpreting CTA and eventually improve stroke outcome.

References

  1. 1.↵
    GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019;18:459–80 doi:10.1016/S1474-4422(18)30499-X pmid:30879893
    CrossRefPubMed
  2. 2.↵
    1. Berkhemer OA,
    2. Majoie CB,
    3. Dippel DW
    ; MR CLEAN Investigators. Endovascular therapy for ischemic stroke. N Engl J Med 2015;372:2363 doi:10.1056/NEJMc1504715 pmid:26061844
    CrossRefPubMed
  3. 3.↵
    1. van den Berg LA,
    2. Dijkgraaf MG,
    3. Berkhemer OA, et al
    ; MR CLEAN Investigators. Two-year outcome after endovascular treatment for acute ischemic stroke. N Engl J Med 2017;376:1341–49 doi:10.1056/NEJMoa1612136 pmid:28379802
    CrossRefPubMed
  4. 4.↵
    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
  5. 5.↵
    1. Almekhlafi MA,
    2. Kunz WG,
    3. Menon BK, et al
    . Imaging of patients with suspected large-vessel occlusion at primary stroke centers: available modalities and a suggested approach. AJNR Am J Neuroradiol 2019;40:396–400 doi:10.3174/ajnr.A5971 pmid:30705072
    Abstract/FREE Full Text
  6. 6.↵
    1. Walker BS,
    2. Shah LM,
    3. Osborn AG
    . Calcified cerebral emboli, a “do not miss” imaging diagnosis: 22 new cases and review of the literature. AJNR Am J Neuroradiol 2014;35:1515–19 doi:10.3174/ajnr.A3892 pmid:24651819
    Abstract/FREE Full Text
  7. 7.↵
    1. Ranganathan P,
    2. Pramesh CS,
    3. Aggarwal R
    . Common pitfalls in statistical analysis: logistic regression. Perspect Clin Res 2017;8:148–51 doi:10.4103/picr.PICR_123_17 pmid:28828311
    CrossRefPubMed
  8. 8.↵
    1. Saver JL
    . Time is brain–quantified. Stroke 2006;37:263–66 doi:10.1161/01.STR.0000196957.55928.ab pmid:16339467
    Abstract/FREE Full Text
  9. 9.↵
    1. Zubkov AY,
    2. Uschmann H,
    3. Rabinstein AA
    . Rate of arterial occlusion in patients with acute ischemic stroke. Neurol Res 2008;30:835–38 doi:10.1179/174313208X340969 pmid:18826810
    CrossRefPubMed
  10. 10.↵
    1. Kummer BR,
    2. Gialdini G,
    3. Sevush JL, et al
    . External validation of the Cincinnati prehospital stroke severity scale. J Stroke Cerebrovasc Dis 2016;25:1270–74 doi:10.1016/j.jstrokecerebrovasdis.2016.02.015 pmid:26971037
    CrossRefPubMed
  11. 11.↵
    1. Brady AP
    . Error and discrepancy in radiology: inevitable or avoidable? Insights Imaging 2017;8:171–82 doi:10.1007/s13244-016-0534-1 pmid:27928712
    CrossRefPubMed
  12. 12.↵
    1. Gibo H,
    2. Carver CC,
    3. Rhoton AL Jr., et al
    . Microsurgical anatomy of the middle cerebral artery. J Neurosurg 1981;54:151–69 doi:10.3171/jns.1981.54.2.0151 pmid:7452329
    CrossRefPubMed
  13. 13.↵
    1. Saba L,
    2. Sanfilippo R,
    3. Montisci R, et al
    . Assessment of intracranial arterial stenosis with multidetector row CT angiography: a postprocessing techniques comparison. AJNR Am J Neuroradiol 2010;31:874–79 doi:10.3174/ajnr.A1976 pmid:20053812
    Abstract/FREE Full Text
  14. 14.↵
    1. Ota H,
    2. Takase K,
    3. Rikimaru H, et al
    . Quantitative vascular measurements in arterial occlusive disease. Radiographics 2005;25:1141–58 doi:10.1148/rg.255055014 pmid:16160101
    CrossRefPubMed
  15. 15.↵
    1. Kunz WG,
    2. Sommer WH,
    3. Havla L, et al
    . Detection of single-phase CTA occult vessel occlusions in acute ischemic stroke using CT perfusion-based wavelet-transformed angiography. Eur Radiol 2017;27:2657–64 doi:10.1007/s00330-016-4613-y pmid:27722798
    CrossRefPubMed
  16. 16.↵
    1. Yu AY,
    2. Zerna C,
    3. Assis Z, et al
    . Multiphase CT angiography increases detection of anterior circulation intracranial occlusion. Neurology 2016;87:609–16 doi:10.1212/WNL.0000000000002951 pmid:27385749
    Abstract/FREE Full Text
  17. 17.↵
    1. Byrne D,
    2. Sugrue G,
    3. Stanley E, et al
    . Improved detection of anterior circulation occlusions: the “delayed vessel sign” on multiphase CT angiography. AJNR Am J Neuroradiol 2017;38:1911–16 doi:10.3174/ajnr.A5317 pmid:28798219
    Abstract/FREE Full Text
  18. 18.↵
    1. Becks MJ,
    2. Manniesing R,
    3. Vister J, et al
    . Brain CT perfusion improves intracranial vessel occlusion detection on CT angiography. J Neuroradiol 2019;46:124–29 doi:10.1016/j.neurad.2018.03.003 pmid:29625153
    CrossRefPubMed
  19. 19.↵
    1. Amukotuwa SA,
    2. Straka M,
    3. Smith H, et al
    . Automated detection of intracranial large vessel occlusions on computed tomography angiography. Stroke 2019;50:2790–98 doi:10.1161/STROKEAHA.119.026259 pmid:31495328
    CrossRefPubMed
  20. 20.↵
    1. Kavanagh EC,
    2. Fenton DM,
    3. Heran MK, et al
    . Calcified cerebral emboli. AJNR Am J Neuroradiol 2006;27:1996–99 pmid:17032882
    Abstract/FREE Full Text
  21. 21.↵
    1. Dobrocky T,
    2. Piechowiak E,
    3. Cianfoni A, et al
    . Thrombectomy of calcified emboli in stroke: does histology of thrombi influence the effectiveness of thrombectomy? J Neurointerv Surg 2018;10:345–50 doi:10.1136/neurintsurg-2017-013226 pmid:28798266
    Abstract/FREE Full Text
  22. 22.↵
    1. Kwak HS,
    2. Park JS
    . Successful recanalization using the Embolus Retriever with Interlinked Cage for acute stroke due to calcified cerebral emboli. Interv Neuroradiol 2018;24:674–77 doi:10.1177/1591019918784259 pmid:29969958
    CrossRefPubMed
  23. 23.↵
    1. Mair G,
    2. Boyd EV,
    3. Chappell FM, et al
    ; IST-3 Collaborative Group. Sensitivity and specificity of the hyperdense artery sign for arterial obstruction in acute ischemic stroke. Stroke 2015;46:102–07 doi:10.1161/STROKEAHA.114.007036 pmid:25477225
    Abstract/FREE Full Text
  24. 24.↵
    1. Klingebiel R,
    2. Kentenich M,
    3. Bauknecht HC, et al
    . Comparative evaluation of 64-slice CT angiography and digital subtraction angiography in assessing the cervicocranial vasculature. Vasc Health Risk Manag 2008;4:901–07 doi:10.2147/vhrm.s2807 pmid:19066008
    CrossRefPubMed
  • Received October 9, 2019.
  • Accepted after revision January 27, 2020.
  • © 2020 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 41 (4)
American Journal of Neuroradiology
Vol. 41, Issue 4
1 Apr 2020
  • 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 in Evaluating Large-Vessel Occlusion in Acute Anterior Circulation Ischemic Stroke: Factors Associated with Diagnostic Error in Clinical Practice
(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
B.A.C.M. Fasen, R.J.J. Heijboer, F.-J.H. Hulsmans, R.M. Kwee
CT Angiography in Evaluating Large-Vessel Occlusion in Acute Anterior Circulation Ischemic Stroke: Factors Associated with Diagnostic Error in Clinical Practice
American Journal of Neuroradiology Apr 2020, 41 (4) 607-611; DOI: 10.3174/ajnr.A6469

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 in Evaluating Large-Vessel Occlusion in Acute Anterior Circulation Ischemic Stroke: Factors Associated with Diagnostic Error in Clinical Practice
B.A.C.M. Fasen, R.J.J. Heijboer, F.-J.H. Hulsmans, R.M. Kwee
American Journal of Neuroradiology Apr 2020, 41 (4) 607-611; DOI: 10.3174/ajnr.A6469
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
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke
  • Perfusion patterns as a tool for emergency stroke diagnosis: differentiating proximal and distal MCA occlusions
  • Artificial Intelligence Efficacy as a Function of Trainee Interpreter Proficiency: Lessons from a Randomized Controlled Trial
  • Development and Validation of Automated Software for the Detection of Large Vessel Occlusion on Noncontrast CT
  • Automated detection of large vessel occlusion using deep learning: a pivotal multicenter study and reader performance study
  • Automated Identification of Thrombectomy Amenable Vessel Occlusion on Computed Tomography Angiography using Deep Learning
  • Automated detection of large vessel occlusion: a multicenter study validating efficacy and proving clinical implications
  • Automated detection of large vessel occlusion using deep learning: a pivotal multicenter clinical trial and reader assessment study
  • Influence of vascular imaging acquisition at local stroke centers on workflows in the drip-n-ship model: a RACECAT post hoc analysis
  • CTA and CTP for Detecting Distal Medium Vessel Occlusions: A Systematic Review and Meta-analysis
  • Influence of vascular imaging acquisition at local stroke centers on workflows in the drip-n-ship model: a RACECAT post hoc analysis
  • Commentary on 'Systematic CT perfusion acquisition in acute stroke increases vascular occlusion detection and thrombectomy rates
  • Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography
  • Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care
  • Interrater Agreement and Detection Accuracy for Medium-Vessel Occlusions Using Single-Phase and Multiphase CT Angiography
  • Direct Transfer to Angiosuite in Acute Stroke: Why, When, and How?
  • A review of endovascular treatment for medium vessel occlusion stroke
  • The True Potential of Artificial Intelligence for Detection of Large-Vessel Occlusion: The Role of M2 Occlusions
  • Time-to-Maximum of the Tissue Residue Function Improves Diagnostic Performance for Detecting Distal Vessel Occlusions on CT Angiography
  • Reply:
  • Missed Medium-Vessel Occlusions on CT Angiography: Make It Easier ... Easily!
  • Crossref (71)
  • Google Scholar

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

  • A review of endovascular treatment for medium vessel occlusion stroke
    Johanna Maria Ospel, Mayank Goyal
    Journal of NeuroInterventional Surgery 2021 13 7
  • Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography
    Marta Olive-Gadea, Carlos Crespo, Cristina Granes, Maria Hernandez-Perez, Natalia Pérez de la Ossa, Carlos Laredo, Xabier Urra, Juan Carlos Soler, Alexander Soler, Paloma Puyalto, Patricia Cuadras, Cristian Marti, Marc Ribo
    Stroke 2020 51 10
  • Distal Medium Vessel Occlusions Can Be Accurately and Rapidly Detected Using Tmax Maps
    Shalini A. Amukotuwa, Angel Wu, Kevin Zhou, Inna Page, Peter Brotchie, Roland Bammer
    Stroke 2021 52 10
  • Secondary Medium Vessel Occlusions
    Mayank Goyal, Manon Kappelhof, Rosalie McDonough, Johanna Maria Ospel
    Stroke 2021 52 3
  • Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care
    Lucas Elijovich, David Dornbos III, Christopher Nickele, Andrei Alexandrov, Violiza Inoa-Acosta, Adam S Arthur, Daniel Hoit
    Journal of NeuroInterventional Surgery 2022 14 7
  • Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment
    Kicky G. van Leeuwen, Frederick J. A. Meijer, Steven Schalekamp, Matthieu J. C. M. Rutten, Ewoud J. van Dijk, Bram van Ginneken, Tim M. Govers, Maarten de Rooij
    Insights into Imaging 2021 12 1
  • Endovascular Treatment of Medium Vessel Occlusion Stroke
    Johanna M. Ospel, Thanh N. Nguyen, Ashutosh P. Jadhav, Marios-Nikos Psychogios, Frédéric Clarençon, Bernard Yan, Mayank Goyal
    Stroke 2024 55 3
  • Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography
    Sven P R Luijten, Lennard Wolff, Martijne H C Duvekot, Pieter-Jan van Doormaal, Walid Moudrous, Henk Kerkhoff, Geert J Lycklama a Nijeholt, Reinoud P H Bokkers, Lonneke S F Yo, Jeannette Hofmeijer, Wim H van Zwam, Adriaan C G M van Es, Diederik W J Dippel, Bob Roozenbeek, Aad van der Lugt
    Journal of NeuroInterventional Surgery 2022 14 8
  • Diagnostic accuracy of automated occlusion detection in CT angiography using e-CTA
    Fatih Seker, Johannes Alex Rolf Pfaff, Yahia Mokli, Anne Berberich, Rafael Namias, Steven Gerry, Simon Nagel, Martin Bendszus, Christian Herweh
    International Journal of Stroke 2022 17 1
  • Interrater Agreement and Detection Accuracy for Medium-Vessel Occlusions Using Single-Phase and Multiphase CT Angiography
    J.M. Ospel, F. Bala, R.V. McDonough, O. Volny, N. Kashani, W. Qiu, B.K. Menon, M. Goyal
    American Journal of Neuroradiology 2022 43 1

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