1.Choosing a Hyperacute Stroke Imaging Protocol for Proper Patient Selection and Time Efficient Endovascular Treatment: Lessons from Recent Trials.
Jin Soo LEE ; Andrew M DEMCHUK
Journal of Stroke 2015;17(3):221-228
Recently, several prospective randomized control trials regarding endovascular treatment for patients with intracranial large artery occlusions causing acute ischemic stroke have been successfully reported. Effort to minimize time delays to endovascular treatment, patient selection and the use of retrievable stent were important factors for the success of these trials. The inclusion and exclusion criteria for each of these trials did include differences in imaging protocols. In this review, we focus on the importance of baseline non-invasive angiography prior to deciding endovascular treatment. Then imaging protocols are described for each trial according to measurement of infarct volume and collateral grading.
Angiography
;
Arteries
;
Cerebral Infarction
;
Endovascular Procedures
;
Humans
;
Magnetic Resonance Imaging
;
Patient Selection*
;
Prospective Studies
;
Stents
;
Stroke*
;
Thrombectomy
;
Tomography, X-Ray Computed
2.Differentiating Carotid Terminus Occlusions into Two Distinct Populations Based on Willisian Collateral Status.
Sun Uk LEE ; Ji Man HONG ; Sun Yong KIM ; Oh Young BANG ; Andrew M DEMCHUK ; Jin Soo LEE
Journal of Stroke 2016;18(2):179-186
BACKGROUND AND PURPOSE: The outcomes of acute internal carotid artery (ICA) terminus occlusions are poor. We classified ICA terminus occlusions into 2 groups according to the occlusion pattern of the circle of Willis and hypothesized that clinical outcomes would significantly differ between them. METHODS: Consecutive patients with acute ICA terminus occlusions evaluated by baseline computed tomographic angiography were enrolled. We investigated the occlusion patterns in the circle of Willis, retrospectively classified patients into simple ICA terminus occlusion (STO; with good Willisian collaterals from neighboring cerebral circulation) and complex ICA terminus occlusion (CTO; with one or more of A2 anterior cerebral artery, fetal posterior cerebral artery occlusion, or hypoplastic/absent contralateral A1; or with poor collaterals from anterior communicating artery) groups, and compared their baseline characteristics and outcomes. RESULTS: The STO group (n=58) showed smaller infarct volumes at 72 hours than the CTO group (n=34) (median, 81 mL [interquartile range, 38-192] vs. 414 mL [193-540], P<0.001) and more favorable outcomes (3-month modified Rankin Scale 0-3, 44.8% vs. 8.8%, P<0.001; 3-month mortality, 24.1% vs. 67.6%, P<0.001). In multivariable analyses, STO remained an independent predictor for favorable outcomes (odds ratio 6.1, P=0.010). CONCLUSIONS: Favorable outcomes in STO group suggested that the outcomes of acute ICA terminus occlusions depend on Willisian collateral status. Documenting the subtypes on computed tomographic angiography would help predict patient outcome.
Angiography
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Anterior Cerebral Artery
;
Carotid Artery Thrombosis
;
Carotid Artery, Internal
;
Cerebral Infarction
;
Circle of Willis
;
Collateral Circulation
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Endovascular Procedures
;
Humans
;
Mortality
;
Posterior Cerebral Artery
;
Retrospective Studies
4.Endovascular Therapy for Ischemic Stroke.
Ramana M R APPIREDDY ; Andrew M DEMCHUK ; Mayank GOYAL ; Bijoy K MENON ; Muneer EESA ; Philip CHOI ; Michael D HILL
Journal of Clinical Neurology 2015;11(1):1-8
The utility of intravenous tissue plasminogen activator (IV t-PA) in improving the clinical outcomes after acute ischemic stroke has been well demonstrated in past clinical trials. Though multiple initial small series of endovascular stroke therapy had shown good outcomes as compared to IV t-PA, a similar beneficial effect had not been translated in multiple randomized clinical trials of endovascular stroke therapy. Over the same time, there have been parallel advances in imaging technology and better understanding and utility of the imaging in therapy of acute stroke. In this review, we will discuss the evolution of endovascular stroke therapy followed by a discussion of the key factors that have to be considered during endovascular stroke therapy and directions for future endovascular stroke trials.
Stroke*
;
Tissue Plasminogen Activator
5.Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning
Wu QIU ; Hulin KUANG ; Johanna M. OSPEL ; Michael D. HILL ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(2):234-243
Background:
and Purpose Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images.
Methods:
284 patients with AIS were included from the Precise and Rapid assessment of collaterals using multi-phase CTA in the triage of patients with acute ischemic stroke for Intra-artery Therapy (Prove-IT) study. All patients had non-contrast computed tomography, mCTA, and computed tomographic perfusion (CTP) at baseline and follow-up magnetic resonance imagingon-contrast-enhanced computed tomography. Of the 284 patient images, 140 patient images were randomly selected to train and validate three ML models to predict a pre-defined Tmax thresholded perfusion abnormality, core and penumbra on CTP. The remaining 144 patient images were used to test the ML models. The predicted perfusion, core and penumbra lesions from ML models were compared to CTP perfusion lesion and to follow-up infarct using Bland-Altman plots, concordance correlation coefficient (CCC), intra-class correlation coefficient (ICC), and Dice similarity coefficient.
Results:
Mean difference between the mCTA predicted perfusion volume and CTP perfusion volume was 4.6 mL (limit of agreement [LoA], –53 to 62.1 mL; P=0.56; CCC 0.63 [95% confidence interval [CI], 0.53 to 0.71; P<0.01], ICC 0.68 [95% CI, 0.58 to 0.78; P<0.001]). Mean difference between the mCTA predicted infarct and follow-up infarct in the 100 patients with acute reperfusion (modified thrombolysis in cerebral infarction [mTICI] 2b/2c/3) was 21.7 mL, while it was 3.4 mL in the 44 patients not achieving reperfusion (mTICI 0/1). Amongst reperfused subjects, CCC was 0.4 (95% CI, 0.15 to 0.55; P<0.01) and ICC was 0.42 (95% CI, 0.18 to 0.50; P<0.01); in non-reperfused subjects CCC was 0.52 (95% CI, 0.20 to 0.60; P<0.001) and ICC was 0.60 (95% CI, 0.37 to 0.76; P<0.001). No difference was observed between the mCTA and CTP predicted infarct volume in the test cohort (P=0.67).
Conclusions
A ML based mCTA model is able to predict brain tissue perfusion abnormality and follow-up infarction, comparable to CTP.
6.Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning
Wu QIU ; Hulin KUANG ; Johanna M. OSPEL ; Michael D. HILL ; Andrew M. DEMCHUK ; Mayank GOYAL ; Bijoy K. MENON
Journal of Stroke 2021;23(2):234-243
Background:
and Purpose Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images.
Methods:
284 patients with AIS were included from the Precise and Rapid assessment of collaterals using multi-phase CTA in the triage of patients with acute ischemic stroke for Intra-artery Therapy (Prove-IT) study. All patients had non-contrast computed tomography, mCTA, and computed tomographic perfusion (CTP) at baseline and follow-up magnetic resonance imagingon-contrast-enhanced computed tomography. Of the 284 patient images, 140 patient images were randomly selected to train and validate three ML models to predict a pre-defined Tmax thresholded perfusion abnormality, core and penumbra on CTP. The remaining 144 patient images were used to test the ML models. The predicted perfusion, core and penumbra lesions from ML models were compared to CTP perfusion lesion and to follow-up infarct using Bland-Altman plots, concordance correlation coefficient (CCC), intra-class correlation coefficient (ICC), and Dice similarity coefficient.
Results:
Mean difference between the mCTA predicted perfusion volume and CTP perfusion volume was 4.6 mL (limit of agreement [LoA], –53 to 62.1 mL; P=0.56; CCC 0.63 [95% confidence interval [CI], 0.53 to 0.71; P<0.01], ICC 0.68 [95% CI, 0.58 to 0.78; P<0.001]). Mean difference between the mCTA predicted infarct and follow-up infarct in the 100 patients with acute reperfusion (modified thrombolysis in cerebral infarction [mTICI] 2b/2c/3) was 21.7 mL, while it was 3.4 mL in the 44 patients not achieving reperfusion (mTICI 0/1). Amongst reperfused subjects, CCC was 0.4 (95% CI, 0.15 to 0.55; P<0.01) and ICC was 0.42 (95% CI, 0.18 to 0.50; P<0.01); in non-reperfused subjects CCC was 0.52 (95% CI, 0.20 to 0.60; P<0.001) and ICC was 0.60 (95% CI, 0.37 to 0.76; P<0.001). No difference was observed between the mCTA and CTP predicted infarct volume in the test cohort (P=0.67).
Conclusions
A ML based mCTA model is able to predict brain tissue perfusion abnormality and follow-up infarction, comparable to CTP.
7.Combining Computed Tomography Perfusion and Baseline National Institutes of Health Stroke Scale to Assess the Clinical Penumbra in Ischemic Stroke
Umberto PENSATO ; Alexander STEBNER ; Salome BOSSHART ; Ruchir SHAH ; Axel ROHR ; Ricardo HANEL ; Michael E. KELLY ; Aditya BHARATHA ; Michael D. HILL ; Mayank GOYAL ; Andrew M. DEMCHUK ; Johanna M. OSPEL
Journal of Stroke 2025;27(2):270-274
8.Combining Computed Tomography Perfusion and Baseline National Institutes of Health Stroke Scale to Assess the Clinical Penumbra in Ischemic Stroke
Umberto PENSATO ; Alexander STEBNER ; Salome BOSSHART ; Ruchir SHAH ; Axel ROHR ; Ricardo HANEL ; Michael E. KELLY ; Aditya BHARATHA ; Michael D. HILL ; Mayank GOYAL ; Andrew M. DEMCHUK ; Johanna M. OSPEL
Journal of Stroke 2025;27(2):270-274
9.Combining Computed Tomography Perfusion and Baseline National Institutes of Health Stroke Scale to Assess the Clinical Penumbra in Ischemic Stroke
Umberto PENSATO ; Alexander STEBNER ; Salome BOSSHART ; Ruchir SHAH ; Axel ROHR ; Ricardo HANEL ; Michael E. KELLY ; Aditya BHARATHA ; Michael D. HILL ; Mayank GOYAL ; Andrew M. DEMCHUK ; Johanna M. OSPEL
Journal of Stroke 2025;27(2):270-274
10.Temporal Changes in Care Processes and Outcomes for Endovascular Treatment of Acute Ischemic Stroke: Retrospective Registry Data from Three Korean Centers.
Jin Soo LEE ; Seong Joon LEE ; Ji Man HONG ; Jin Wook CHOI ; Jeong Ho HONG ; Hyuk Won CHANG ; Chang Hyun KIM ; Yong Won KIM ; Dong Hun KANG ; Yong Sun KIM ; Bruce OVBIAGELE ; Andrew M DEMCHUK ; Yang Ha HWANG ; Sung Il SOHN
Neurointervention 2018;13(1):2-12
BACKGROUND AND PURPOSE: The purpose of the current study is to evaluate the influence of temporal patterns related to the availability of new endovascular treatment (EVT) devices on care processes and outcomes among patients with AIS. MATERIALS AND METHODS: We enrolled 720 consecutive patients (January 2011 to May 2016) in a retrospective registry, ASIAN KR, from three Korean hospitals, who received EVT for acute ischemic stroke (AIS) caused by cervicocephalic arterial occlusions. We performed period-to-period analyses based on stent retriever reimbursement and the availability of second-generation direct-aspiration devices (Period 1: January 2011–July 2014 vs. Period 2: August 2014–May 2016); time metrics and outcomes were compared when the onset-to-puncture time was <720 min among patients with EVT for intracranial occlusion. RESULTS: Period 2 had better post-EVT outcomes (3-month modified Rankin Scale 0–2 or equal to prestroke score, 48.3% vs. 60.2%, P=0.004), more successful reperfusion rates (modified Treatment In Cerebral Ischemia 2b–3, 74.2% vs. 82.2%, P=0.019), fewer subarachnoid hemorrhages (modified Fisher grade 3–4, 5.5% vs. 2.0%, P=0.034) and lower hemorrhagic transformation rates (any intracerebral hemorrhage, 35.3 vs. 22.7%, P=0.001) than Period 1. Compared to Period 1, Period 2 had a shorter door-to-puncture time (median 109 vs. 90 min, P<0.001), but longer onset-to-door time (129 vs. 143 min, P=0.057). CONCLUSION: Recent temporal improvements in post-EVT AIS outcomes in Korea are likely due to a combination of enhanced hospital care processes and administration of newer thrombectomy devices.
Asian Continental Ancestry Group
;
Brain Ischemia
;
Cerebral Hemorrhage
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Cerebral Infarction
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Humans
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Korea
;
Learning Curve
;
Reperfusion
;
Retrospective Studies*
;
Stents
;
Stroke*
;
Subarachnoid Hemorrhage
;
Thrombectomy
;
Treatment Outcome