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Shah S, Wood S, Logue L, Meyer J, Pikel K, Germroth M, Peethamber G, Kodumuri N, Lowe FJ, Kothari R, Rahman L, Venkatesh S, Sen S. Cerebral collateral flow state in acute ischemic stroke correlates with clinical functional outcomes in non-thrombectomy patients. J Stroke Cerebrovasc Dis 2025; 34:108211. [PMID: 39719205 DOI: 10.1016/j.jstrokecerebrovasdis.2024.108211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/18/2024] [Accepted: 12/19/2024] [Indexed: 12/26/2024] Open
Abstract
INTRODUCTION Hypoperfusion index ratio (HIR) measured by computerized tomography perfusion (CTP) has been shown to predict collateral flow state in acute ischemic stroke (AIS). Low HIR (<0.4) is indicative of good collateral flow state. This study tested the association between good collateral flow state and stroke severity and clinical outcome at discharge. METHODS Data from AIS patients who underwent CTP during initial stroke evaluation were linked with Get With the Guideline database between 2018 and 2020. Patients with good collateral flow (HIR < 0.4) were compared to those with poor collateral flow (≥0.4). They were stratified based on modified Rankin Score (mRS) at discharge into good (mRS 0-2) or poor (mRS 3-6) outcomes. A collateral score of 0-3 was assigned using CTA's obtained at the time of AIS presentation. We used univariate and multivariable logistic regression analyses to test the association between good collateral flow state and good discharge outcome. RESULTS CT perfusion data was obtained in 1442 patients. After exclusions, 391 patients (age 69 ± 14, 54% male, 48% white, 52% black/others) remained, of whom 295 (75%) demonstrated good collateral flow and 96 (25%) showed poor collateral flow. Those with good collateral flow were younger (69 ± 14 vs. 71 ± 15, p = 0.25) and lower median NIHSS [7 (25-75%ile 3-13) vs. 14 (25-75%ile 8-20), p < 0.001]. CTA collateral scores demonstrated a significant inverse correlation to HIR. Good collateral flow was associated with good outcome on discharge (OR 2.7, 95% CI 1.4-5.1). The association remained significant after adjustment for demographics and comorbidities (adjusted OR 3.2 (1.7-6.4). CONCLUSIONS In patients presenting with AIS who were non-thrombectomy candidates, good collateral flow state measured by HIR on CTP was associated with good functional outcome at discharge after adjustment for comorbidities.
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Affiliation(s)
- Smit Shah
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Stefanie Wood
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Lawson Logue
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Jaclyn Meyer
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Karly Pikel
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Matthew Germroth
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Gowri Peethamber
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Nishanth Kodumuri
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Forrest Justin Lowe
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Ravish Kothari
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Line Rahman
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Swamy Venkatesh
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
| | - Souvik Sen
- University of South Carolina School of Medicine and Prisma Health Midlands, Department of Neurology, Columbia, SC.
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Wu X, Chen T, Han Y, Wang K, Zhou J. Left atrial myxoma as a rare cause of stroke. Heliyon 2024; 10:e23897. [PMID: 38223711 PMCID: PMC10784162 DOI: 10.1016/j.heliyon.2023.e23897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 01/16/2024] Open
Abstract
Cerebrovascular events may attribute to the fragmentation of a cardiac tumor. Due to the small number of reported cases of large vascular occlusion-acute ischemic stroke (LVO-AIS) associated with atrial myxoma, current guidelines still follow the principle of intravenous thrombolysis priority, even if LVO-AIS patients are eligible for mechanical thrombectomy, and have not recommended the timing of cardiac surgery or preoperative anticoagulation and antithrombotic therapy. Surgical removal is the definitive therapy for cardiac myxomas, especially for left-sided myxomas. With this case, we aim to demonstrate the main challenges that clinicians may encounter when dealing with patients with AIS secondary to cardiac myxoma: the difficulties with clinical diagnosis, strategies for reperfusion therapy, and therapeutic management of cardiac myxoma.
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Affiliation(s)
- Xindi Wu
- Department of Intensive Care Unit, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Tongyu Chen
- Department of Cardiothoracic Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Yan Han
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Ke Wang
- Department of Clinical Research Institute of Acupuncture and Anaesthetic, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Jia Zhou
- Department of Cardiothoracic Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
- Department of Clinical Research Institute of Acupuncture and Anaesthetic, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
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Fainardi E, Busto G, Morotti A. Automated advanced imaging in acute ischemic stroke. Certainties and uncertainties. Eur J Radiol Open 2023; 11:100524. [PMID: 37771657 PMCID: PMC10523426 DOI: 10.1016/j.ejro.2023.100524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/30/2023] Open
Abstract
The purpose of this is study was to review pearls and pitfalls of advanced imaging, such as computed tomography perfusion and diffusion-weighed imaging and perfusion-weighted imaging in the selection of acute ischemic stroke (AIS) patients suitable for endovascular treatment (EVT) in the late time window (6-24 h from symptom onset). Advanced imaging can quantify infarct core and ischemic penumbra using specific threshold values and provides optimal selection parameters, collectively called target mismatch. More precisely, target mismatch criteria consist of core volume and/or penumbra volume and mismatch ratio (the ratio between total hypoperfusion and core volumes) with precise cut-off values. The parameters of target mismatch are automatically calculated with dedicated software packages that allow a quick and standardized interpretation of advanced imaging. However, this approach has several limitations leading to a misclassification of core and penumbra volumes. In fact, automatic software platforms are affected by technical artifacts and are not interchangeable due to a remarkable vendor-dependent variability, resulting in different estimate of target mismatch parameters. In addition, advanced imaging is not completely accurate in detecting infarct core, that can be under- or overestimated. Finally, the selection of candidates for EVT remains currently suboptimal due to the high rates of futile reperfusion and overselection caused by the use of very stringent inclusion criteria. For these reasons, some investigators recently proposed to replace advanced with conventional imaging in the selection for EVT, after the demonstration that non-contrast CT ASPECTS and computed tomography angiography collateral evaluation are not inferior to advanced images in predicting outcome in AIS patients treated with EVT. However, other authors confirmed that CTP and PWI/DWI postprocessed images are superior to conventional imaging in establishing the eligibility of patients for EVT. Therefore, the routine application of automatic assessment of advanced imaging remains a matter of debate. Recent findings suggest that the combination of conventional and advanced imaging might improving our selection criteria.
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Affiliation(s)
- Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Giorgio Busto
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Andrea Morotti
- Department of Neurological and Vision Sciences, Neurology Unit, ASST Spedali Civili, Brescia, Italy
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Goubran D, Batoo D, Linton J, Shankar J. Initial CT Imaging Predicts Mortality in Severe Traumatic Brain Injuries in Pediatric Population-A Systematic Review and Meta-Analysis. Tomography 2023; 9:541-551. [PMID: 36961003 PMCID: PMC10037655 DOI: 10.3390/tomography9020044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 03/04/2023] Open
Abstract
The purpose of this systematic review was to analyze evidence based on existing studies on the ability of initial CT imaging to predict mortality in severe traumatic brain injuries (TBIs) in pediatric patients. An experienced librarian searched for all existing studies based on the inclusion and exclusion criteria. The studies were screened by two blinded reviewers. Of the 3277 studies included in the search, data on prevalence of imaging findings and mortality rate could only be extracted from 22 studies. A few of those studies had patient-specific data relating specific imaging findings to outcome, allowing the data analysis, calculation of the area under the curve (AUC) and receiver operating characteristic (ROC), and generation of a forest plot for each finding. The data were extracted to calculate the sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predicted value (NPV), AUC, and ROC for extradural hematoma (EDH), subdural hematoma (SDH), traumatic subarachnoid hemorrhage (tSAH), skull fractures, and edema. There were a total of 2219 patients, 747 females and 1461 males. Of the total, 564 patients died and 1651 survived; 293 patients had SDH, 76 had EDH, 347 had tSAH, 244 had skull fractures, and 416 had edema. The studies included had high bias and lower grade of evidence. Out of the different CT scan findings, brain edema had the highest SN, PPV, NPV, and AUC. EDH had the highest SP to predict in-hospital mortality.
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Affiliation(s)
- Doris Goubran
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3A 1R9, Canada
| | - Divjeet Batoo
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3A 1R9, Canada
| | - Janice Linton
- Indigenous Health Liaison Librarian, Neil John Maclean Health Sciences Library, Winnipeg, MB R3E 3P5, Canada
| | - Jai Shankar
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3A 1R9, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University Of Manitoba, Winnipeg, MB R3E 0W2, Canada
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
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Gava UA, D'Agata F, Tartaglione E, Renzulli R, Grangetto M, Bertolino F, Santonocito A, Bennink E, Vaudano G, Boghi A, Bergui M. Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Front Neuroinform 2023; 17:852105. [PMID: 36970658 PMCID: PMC10034033 DOI: 10.3389/fninf.2023.852105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/24/2023] [Indexed: 03/29/2023] Open
Abstract
Objective In this study, we investigate whether a Convolutional Neural Network (CNN) can generate informative parametric maps from the pre-processed CT perfusion data in patients with acute ischemic stroke in a clinical setting. Methods The CNN training was performed on a subset of 100 pre-processed perfusion CT dataset, while 15 samples were kept for testing. All the data used for the training/testing of the network and for generating ground truth (GT) maps, using a state-of-the-art deconvolution algorithm, were previously pre-processed using a pipeline for motion correction and filtering. Threefold cross validation had been used to estimate the performance of the model on unseen data, reporting Mean Squared Error (MSE). Maps accuracy had been checked through manual segmentation of infarct core and total hypo-perfused regions on both CNN-derived and GT maps. Concordance among segmented lesions was assessed using the Dice Similarity Coefficient (DSC). Correlation and agreement among different perfusion analysis methods were evaluated using mean absolute volume differences, Pearson correlation coefficients, Bland-Altman analysis, and coefficient of repeatability across lesion volumes. Results The MSE was very low for two out of three maps, and low in the remaining map, showing good generalizability. Mean Dice scores from two different raters and the GT maps ranged from 0.80 to 0.87. Inter-rater concordance was high, and a strong correlation was found between lesion volumes of CNN maps and GT maps (0.99, 0.98, respectively). Conclusion The agreement between our CNN-based perfusion maps and the state-of-the-art deconvolution-algorithm perfusion analysis maps, highlights the potential of machine learning methods applied to perfusion analysis. CNN approaches can reduce the volume of data required by deconvolution algorithms to estimate the ischemic core, and thus might allow the development of novel perfusion protocols with lower radiation dose deployed to the patient.
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Affiliation(s)
- Umberto A Gava
- Division of Neuroradiology, Molinette Hospital, Turin, Italy
- Department of Neurosciences, University of Turin, Turin, Italy
| | | | - Enzo Tartaglione
- Department of Computer Science, University of Turin, Turin, Italy
| | | | - Marco Grangetto
- Department of Computer Science, University of Turin, Turin, Italy
| | - Francesca Bertolino
- Division of Neuroradiology, Molinette Hospital, Turin, Italy
- Department of Neurosciences, University of Turin, Turin, Italy
| | | | - Edwin Bennink
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands
| | - Giacomo Vaudano
- Division of Neuroradiology, San Giovanni Bosco Hospital, Turin, Italy
| | - Andrea Boghi
- Division of Neuroradiology, San Giovanni Bosco Hospital, Turin, Italy
| | - Mauro Bergui
- Division of Neuroradiology, Molinette Hospital, Turin, Italy
- Department of Neurosciences, University of Turin, Turin, Italy
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Katyal A, Bhaskar SMM. Value of pre-intervention computed tomography perfusion imaging in the assessment of tissue outcome and long-term clinical prognosis in patients with anterior circulation acute ischemic stroke receiving reperfusion therapy: a systematic review. Acta Radiol 2022; 63:1243-1254. [PMID: 34342497 DOI: 10.1177/02841851211035892] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Computed tomography perfusion (CTP) imaging has emerged as an important adjunct to the current armamentarium of acute ischemic stroke (AIS) workflow. However, its adoption in routine clinical practice is far from optimal. PURPOSE To investigate the putative association of CTP imaging biomarkers in the assessment of prognosis in acute ischemic stroke. MATERIAL AND METHODS We performed a systematic review of the literature using MEDLINE, EMBASE, and Cochrane Central Register of Clinical Trials focusing on CTP biomarkers, tissue-based and clinical-based patient outcomes. We included randomized controlled trials, prospective cohort studies, and case-controlled studies published from January 2005 to 28 August 2020. Two independent reviewers conducted the study appraisal, data extraction, and quality assessment of the studies. RESULTS A total of 60 full-text studies were included in the final systematic review analysis. Increasing infarct core volume is associated with reduced odds of achieving functional independence (modified Rankin score 0-2) at 90 days and is correlated with the final infarct volume when reperfusion is achieved. CONCLUSION CTP has value in assessing tissue perfusion status in the hyperacute stroke setting and the long-term clinical prognosis of patients with AIS receiving reperfusion therapy. However, the prognostic use of CTP requires optimization and further validation.
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Affiliation(s)
- Anubhav Katyal
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia.,University of New South Wales (UNSW), South West Sydney Clinical School, Sydney, NSW, Australia
| | - Sonu Menachem Maimonides Bhaskar
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia.,Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Department of Neurology & Neurophysiology, Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Pathology, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
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7
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Venema E, Roozenbeek B, Mulder MJHL, Brown S, Majoie CBLM, Steyerberg EW, Demchuk AM, Muir KW, Dávalos A, Mitchell PJ, Bracard S, Berkhemer OA, Lycklama À Nijeholt GJ, van Oostenbrugge RJ, Roos YBWEM, van Zwam WH, van der Lugt A, Hill MD, White P, Campbell BCV, Guillemin F, Saver JL, Jovin TG, Goyal M, Dippel DWJ, Lingsma HF. Prediction of Outcome and Endovascular Treatment Benefit: Validation and Update of the MR PREDICTS Decision Tool. Stroke 2021; 52:2764-2772. [PMID: 34266308 PMCID: PMC8378416 DOI: 10.1161/strokeaha.120.032935] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Supplemental Digital Content is available in the text. Background and Purpose: Benefit of early endovascular treatment (EVT) for ischemic stroke varies considerably among patients. The MR PREDICTS decision tool, derived from MR CLEAN (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands), predicts outcome and treatment benefit based on baseline characteristics. Our aim was to externally validate and update MR PREDICTS with data from international trials and daily clinical practice. Methods: We used individual patient data from 6 randomized controlled trials within the HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) collaboration to validate the original model. Then, we updated the model and performed a second validation with data from the observational MR CLEAN Registry. Primary outcome was functional independence (defined as modified Rankin Scale score 0–2) 3 months after stroke. Treatment benefit was defined as the difference between the probability of functional independence with and without EVT. Discriminative performance was evaluated using a concordance (C) statistic. Results: We included 1242 patients from HERMES (633 assigned to EVT, 609 assigned to control) and 3156 patients from the MR CLEAN Registry (all of whom underwent EVT within 6.5 hours). The C-statistic for functional independence was 0.74 (95% CI, 0.72–0.77) in HERMES and, after model updating, 0.80 (0.78–0.82) in the Registry. Median predicted treatment benefit of routinely treated patients (Registry) was 10.3% (interquartile range, 5.8%–14.4%). Patients with low (<1%) predicted treatment benefit (n=135/3156 [4.3%]) had low rates of functional independence, irrespective of reperfusion status, suggesting potential absence of treatment benefit. The updated model was made available online for clinicians and researchers at www.mrpredicts.com. Conclusions: Because of the substantial treatment effect and small potential harm of EVT, most patients arriving within 6 hours at an endovascular-capable center should be treated regardless of their clinical characteristics. MR PREDICTS can be used to support clinical judgement when there is uncertainty about the treatment indication, when resources are limited, or before a patient is to be transferred to an endovascular-capable center.
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Affiliation(s)
- Esmee Venema
- Department of Public Health (E.V., E.W.S., H.F.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Neurology (E.V., B.R., M.J.H.L.M., O.A.B., D.W.J.D.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Bob Roozenbeek
- Department of Neurology (E.V., B.R., M.J.H.L.M., O.A.B., D.W.J.D.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (B.R., M.J.H.L.M., O.A.B., A.v.d.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Maxim J H L Mulder
- Department of Neurology (E.V., B.R., M.J.H.L.M., O.A.B., D.W.J.D.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (B.R., M.J.H.L.M., O.A.B., A.v.d.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Scott Brown
- Altair Biostatistics, St Louis Park, MN (S.B.).,Department of Diagnostic and Interventional Neuroradiology (S.B.), University of Lorraine and University Hospital of Nancy, France
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine (C.B.L.M.M., O.A.B.), Amsterdam University Medical Centers, location AMC, the Netherlands
| | - Ewout W Steyerberg
- Department of Public Health (E.V., E.W.S., H.F.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands (E.W.S.)
| | - Andrew M Demchuk
- Departments of Clinical Neuroscience and Radiology, Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Canada (A.M.D., MD.H., M.G.)
| | - Keith W Muir
- Institute of Neuroscience and Psychology, University of Glasgow, Queen Elizabeth University Hospital, United Kingdom (K.W.M.)
| | - Antoni Dávalos
- Department of Neuroscience, Hospital Germans Trias y Pujol, Barcelona, Spain (A.D.)
| | - Peter J Mitchell
- Department of Radiology (P.J.M.), Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | | | - Olvert A Berkhemer
- Department of Neurology (E.V., B.R., M.J.H.L.M., O.A.B., D.W.J.D.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (B.R., M.J.H.L.M., O.A.B., A.v.d.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (C.B.L.M.M., O.A.B.), Amsterdam University Medical Centers, location AMC, the Netherlands
| | | | - Robert J van Oostenbrugge
- Department of Neurology (R.J.v.O.), Maastricht University Medical Center and Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Yvo B W E M Roos
- Department of Neurology (Y.B.W.E.M.R.), Amsterdam University Medical Centers, location AMC, the Netherlands
| | - Wim H van Zwam
- Department of Radiology (W.H.v.Z.), Maastricht University Medical Center and Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine (B.R., M.J.H.L.M., O.A.B., A.v.d.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Michael D Hill
- Departments of Clinical Neuroscience and Radiology, Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Canada (A.M.D., MD.H., M.G.)
| | - Philip White
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom (P.W.)
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Center (B.C.V.C.), Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Francis Guillemin
- Department of Clinical Epidemiology (F.G.), University of Lorraine and University Hospital of Nancy, France
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of Los Angeles, CA (J.L.S.)
| | - Tudor G Jovin
- Department of Neurology, Stroke Institute, University of Pittsburgh Medical Center Stroke Institute, Presbyterian University Hospital, PA (T.G.J.)
| | - Mayank Goyal
- Departments of Clinical Neuroscience and Radiology, Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Canada (A.M.D., MD.H., M.G.)
| | - Diederik W J Dippel
- Department of Neurology (E.V., B.R., M.J.H.L.M., O.A.B., D.W.J.D.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Hester F Lingsma
- Department of Public Health (E.V., E.W.S., H.F.L.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
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Shi Z, Li J, Zhao M, Zhang M, Wang T, Chen L, Liu Q, Wang H, Lu J, Zhao X. Baseline Cerebral Ischemic Core Quantified by Different Automatic Software and Its Predictive Value for Clinical Outcome. Front Neurosci 2021; 15:608799. [PMID: 33911999 PMCID: PMC8072147 DOI: 10.3389/fnins.2021.608799] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 02/25/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose This study aims to investigate the agreement of three software packages in measuring baseline ischemic core volume (ICV) and penumbra volume (PV), and determine their predictive values for unfavorable clinical outcome in patients with endovascular thrombectomy (EVT). Methods Patients with acute ischemic stroke who underwent computed tomographic perfusion (CTP) were recruited. Baseline CTP measurements including ICV and PV were calculated by three software packages of IntelliSpace Portal (ISP), Rapid Processing of Perfusion and Diffusion (RAPID), and fast-processing of ischemic stroke (F-STROKE). All patients received EVT, and the modified Rankin scale (mRS) at 90 days after EVT was assessed to determine the clinical outcomes (favorable: mRS = 0-2; unfavorable: mRS = 3-6). The agreement of CTP measurements among three software packages was determined using intraclass correlation coefficient (ICC). The associations between CTP measurements and unfavorable clinical outcome were analyzed using logistic regression. Receiver operating characteristic curves were conducted to calculate the area under the curve (AUC) of CTP measurements in predicting unfavorable clinical outcome. Results Of 223 recruited patients (68.2 ± 11.3 years old; 145 males), 17.0% had unfavorable clinical outcome after EVT. Excellent agreement between F-STROKE and RAPID was found in measuring ICV (ICC 0.965; 95% CI 0.956-0.973) and PV (ICC 0.966; 95% CI 0.956-0.973). ICVs measured by three software packages were significantly associated with unfavorable clinical outcome before (odds ratios 1.012-1.018, all P < 0.01) and after (odds ratios 1.003-1.014, all P < 0.05) adjusted for confounding factors (age, gender, TOAST classification, and NIHSS on admission). In predicting unfavorable clinical outcome, ICV measured by F-STROKE showed similar performance to that measured by RAPID (AUC 0.701 vs. 0.717) but higher performance than that measured by ISP (AUC 0.629). Conclusions The software of F-STROKE has excellent agreement with the widely used analysis tool of RAPID in measuring ICV and PV. The ischemic core volume measured by both F-STROKE and RAPID is a stronger predictor for unfavorable clinical outcome after EVT compared to ISP.
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Affiliation(s)
- Zhang Shi
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jing Li
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Ming Zhao
- Department of Neurology, The 983th Hospital of Joint Logistics Support Forces of Chinese PLA, Tianjin, China.,Department of Neurology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Minmin Zhang
- Department of Neurology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qi Liu
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xihai Zhao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
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9
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Katyal A, Bhaskar S. CTP-guided reperfusion therapy in acute ischemic stroke: a meta-analysis. Acta Neurol Scand 2021; 143:355-366. [PMID: 33188539 DOI: 10.1111/ane.13374] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/08/2020] [Accepted: 11/09/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Computed tomography perfusion (CTP) imaging could be useful in guiding reperfusion therapy or patient selection in acute ischemic stroke (AIS) patients. The aim of the current study was to determine the efficacy of the CTP-guided reperfusion therapy in AIS by performing a systematic review and meta-analysis. METHODS Medline/PubMed, Embase, and the Cochrane library were searched using the terms: "CT perfusion", "acute stroke" and "reperfusion therapy". The following studies were included: (a) studies reporting original data; (b) patients aged 18 years or above; (c) patients diagnosed with anterior circulation AIS; and (d) studies with good methodological design. RESULTS Twenty-two studies were finally included in the metanalysis with a total of 5, 687 patients. CTP-guided reperfusion therapy was associated with increased odds of good functional outcome without significant difference in safety profile. CONCLUSIONS CTP-guided reperfusion therapy improved functional outcomes in AIS, with increased benefits to patients treated with endovascular thrombectomy.
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Affiliation(s)
- Anubhav Katyal
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research Clinical Sciences Stream Sydney NSW Australia
- University of New South Wales (UNSW South Western Sydney Clinical School Sydney NSW Australia
| | - Sonu Bhaskar
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research Clinical Sciences Stream Sydney NSW Australia
- University of New South Wales (UNSW South Western Sydney Clinical School Sydney NSW Australia
- Department of Neurology & Neurophysiology Liverpool Hospital & South Western Sydney Local Health District Sydney NSW Australia
- Stroke & Neurology Research Group Ingham Institute for Applied Medical Research Sydney NSW Australia
- NSW Brain Clot Bank NSW Health Statewide Biobank and NSW Health Pathology Sydney NSW Australia
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10
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Broocks G, Jafarov H, McDonough R, Austein F, Meyer L, Bechstein M, van Horn N, Nawka MT, Schön G, Fiehler J, Kniep H, Hanning U. Relationship between the degree of recanalization and functional outcome in acute ischemic stroke is mediated by penumbra salvage volume. J Neurol 2021; 268:2213-2222. [PMID: 33486602 PMCID: PMC8179901 DOI: 10.1007/s00415-021-10410-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND The presence of metabolically viable brain tissue that may be salvageable with rapid cerebral blood flow restoration is the fundament rationale for reperfusion therapy in patients with large vessel occlusion stroke. The effect of endovascular treatment (EVT) on functional outcome largely depends on the degree of recanalization. However, the relationship of recanalization degree and penumbra salvage has not yet been investigated. We hypothesized that penumbra salvage volume mediates the effect of thrombectomy on functional outcome. METHODS 99 acute anterior circulation stroke patients who received multimodal CT and underwent thrombectomy with resulting partial to complete reperfusion (modified thrombolysis in cerebral infarction scale (mTICI) ≥ 2a) were retrospectively analyzed. Penumbra volume was quantified on CT perfusion and penumbra salvage volume (PSV) was calculated as difference of penumbra and net infarct growth from admission to follow-up imaging. RESULTS In patients with complete reperfusion (mTICI ≥ 2c), the median PSV was significantly higher than the median PSV in patients with partial or incomplete (mTICI 2a-2b) reperfusion (median 224 mL, IQR: 168-303 versus 158 mL, IQR: 129-225; p < 0.01). A higher degree of recanalization was associated with increased PSV (+ 63 mL per grade, 95% CI: 17-110; p < 0.01). Higher PSV was also associated with improved functional outcome (OR/mRS shift: 0.89; 95% CI: 0.85-0.95, p < 0.0001). CONCLUSIONS PSV may be an important mediator between functional outcome and recanalization degree in EVT patients and could serve as a more accurate instrument to compare treatment effects than infarct volumes.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Hashim Jafarov
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Friederike Austein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Marie Teresa Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
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11
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Yoshie T, Yu Y, Jiang H, Honda T, Trieu H, Scalzo F, Saver JL, Liebeskind DS. Perfusion Parameter Thresholds That Discriminate Ischemic Core Vary with Time from Onset in Acute Ischemic Stroke. AJNR Am J Neuroradiol 2020; 41:1809-1815. [PMID: 32855193 DOI: 10.3174/ajnr.a6744] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 06/29/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE When mapping the ischemic core and penumbra in patients with acute ischemic stroke using perfusion imaging, the core is currently delineated by applying the same threshold value for relative CBF at all time points from onset to imaging. We investigated whether the degree of perfusion abnormality and optimal perfusion parameter thresholds for defining ischemic core vary with time from onset to imaging. MATERIALS AND METHODS In a prospectively maintained registry, consecutive patients were analyzed who had ICA or M1 occlusion, baseline perfusion and diffusion MR imaging, treatment with IV tPA and/or endovascular thrombectomy, and a witnessed, well-documented time of onset. Ten superficial and deep MCA ROIs were analyzed in ADC and perfusion-weighted images. RESULTS Among the 66 patients meeting entry criteria, onset-to-imaging time was 162 minutes (range, 94-326 minutes). Of the 660 ROIs analyzed, 164 (24.8%) showed severely or moderately reduced ADC (ADC ≤ 620, ischemic core), and 496 (75.2%), mildly reduced or normal ADC (ADC > 620). In ischemic core ADC regions, longer onset-to-imaging times were associated with more highly abnormal perfusion parameters-relative CBF: Spearman correlation, r = -0.22, P = .005; relative CBV: r = -0.41, P < .001; MTT: - r = -0.29, P < .001; and time-to-maximum: r = 0.35, P < .001. As onset-to-imaging times increased, the best cutoff values for relative CBF and relative CBV to discriminate core from noncore tissue became progressively lower and overall accuracy of the core tissue definition increased. CONCLUSIONS Perfusion abnormalities in ischemic core regions become progressively more abnormal with longer intervals from onset to imaging. Perfusion parameter value thresholds that best delineate ischemic core are more severely abnormal and have higher accuracy with longer onset-to-imaging times.
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Affiliation(s)
- T Yoshie
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Department of Neurology and Neuro Endovascular Therapy (T.Y.), St. Marianna University Toyoko Hospital, Kanagawa, Japan
| | - Y Yu
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - H Jiang
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Department of Neurology (H.J.), the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - T Honda
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - H Trieu
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - F Scalzo
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - J L Saver
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - D S Liebeskind
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
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12
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Ma J, Ma Y, Shuaib A, Winship IR. Improved collateral flow and reduced damage after remote ischemic perconditioning during distal middle cerebral artery occlusion in aged rats. Sci Rep 2020; 10:12392. [PMID: 32709950 PMCID: PMC7381676 DOI: 10.1038/s41598-020-69122-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 07/07/2020] [Indexed: 02/05/2023] Open
Abstract
Circulation through cerebral collaterals can maintain tissue viability until reperfusion is achieved. However, collateral circulation is time limited, and failure of collaterals is accelerated in the aged. Remote ischemic perconditioning (RIPerC), which involves inducing a series of repetitive, transient peripheral cycles of ischemia and reperfusion at a site remote to the brain during cerebral ischemia, may be neuroprotective and can prevent collateral failure in young adult rats. Here, we demonstrate the efficacy of RIPerC to improve blood flow through collaterals in aged (16-18 months of age) Sprague Dawley rats during a distal middle cerebral artery occlusion. Laser speckle contrast imaging and two-photon laser scanning microscopy were used to directly measure flow through collateral connections to ischemic tissue. Consistent with studies in young adult rats, RIPerC enhanced collateral flow by preventing the stroke-induced narrowing of pial arterioles during ischemia. This improved flow was associated with reduced early ischemic damage in RIPerC treated aged rats relative to controls. Thus, RIPerC is an easily administered, non-invasive neuroprotective strategy that can improve penumbral blood flow via collaterals. Enhanced collateral flow supports further investigation as an adjuvant therapy to recanalization therapy and a protective treatment to maintain tissue viability prior to reperfusion.
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Affiliation(s)
- Junqiang Ma
- Neurochemical Research Unit, Department of Psychiatry, 12-127 Clinical Sciences Building, University of Alberta, Edmonton, AB, T6G 2R3, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- First Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China
| | - Yonglie Ma
- Neurochemical Research Unit, Department of Psychiatry, 12-127 Clinical Sciences Building, University of Alberta, Edmonton, AB, T6G 2R3, Canada
| | - Ashfaq Shuaib
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Ian R Winship
- Neurochemical Research Unit, Department of Psychiatry, 12-127 Clinical Sciences Building, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
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13
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Siegler JE, Olsen A, Rosenberg J, Cristancho D, Pulst-Korenberg J, Raab L, Woo JH, Messé SR. Mismatch between automated CTP and ASPECTS score in patients with anterior large vessel occlusion. Clin Neurol Neurosurg 2020; 194:105797. [PMID: 32222652 DOI: 10.1016/j.clineuro.2020.105797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 03/17/2020] [Accepted: 03/18/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVES To evaluate the relationship between delay to computed tomography perfusion and estimated core infarct volumes in patients with large vessel occlusion (LVO). PATIENTS AND METHODS A retrospective registry of consecutive adults >18 years old who underwent CTP in clinical practice for suspected LVO within 24 h of LKN at 3 academic hospitals was queried (06/2017 - 12/2017). CT and CTP findings were compared over time as a continuous variable, and dichotomized by ≤6 h or 6-24 h from LKN. RESULTS Of 410 screened patients, 75 had LVO, of whom 60 (14.6 %) met inclusion criteria (median age 78y [IQR 64-84], 36 were female [60 %]), and 39 (65.0 %) underwent thrombectomy. Thirty (50 %) presented in the extended window (6-24 h) and had lower ASPECTS scores compared to patients in the early window (median 7 vs. 9, p < 0.01). Perfusion core (rCBF <30 %) volumes were similar (median 8 vs. 25, p = 0.10). After adjustment for age, NIHSS, and thrombolysis, there was a trend for lower ASPECTS for every hour after LKN (proportional OR 0.92, 95 %CI 0.84-1.00, p = 0.06), but no change in perfusion core (p = 0.37) or Tmax>6 s volumes (p = 0.29), or mismatch ratios (p = 0.48) after adjusting for age, NIHSS, ASPECTS, and thrombolysis. CONCLUSION As time progresses in anterior LVO, the unenhanced CT is more sensitive than CTP for detecting irreversibly damaged tissue. These results underscore the importance of carefully reviewing the unenhanced and perfusion CT when considering a patient for thrombectomy.
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Affiliation(s)
- James E Siegler
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
| | - Andrew Olsen
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - Jon Rosenberg
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - Daniel Cristancho
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - Johannes Pulst-Korenberg
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - Lindsay Raab
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - John H Woo
- Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
| | - Steven R Messé
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States
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14
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Seners P, Turc G, Lion S, Cottier JP, Cho TH, Arquizan C, Bracard S, Ozsancak C, Legrand L, Naggara O, Debiais S, Berthezene Y, Costalat V, Richard S, Magni C, Nighoghossian N, Narata AP, Dargazanli C, Gory B, Mas JL, Oppenheim C, Baron JC. Relationships between brain perfusion and early recanalization after intravenous thrombolysis for acute stroke with large vessel occlusion. J Cereb Blood Flow Metab 2020; 40:667-677. [PMID: 30890074 PMCID: PMC7026851 DOI: 10.1177/0271678x19836288] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
In large vessel occlusion (LVO) stroke, it is unclear whether severity of ischemia is involved in early post-thrombolysis recanalization over and above thrombus site and length. Here we assessed the relationships between perfusion parameters and early recanalization following intravenous thrombolysis administration in LVO patients. From a multicenter registry, we identified 218 thrombolysed LVO patients referred for thrombectomy with both (i) pre-thrombolysis MRI, including diffusion-weighted imaging (DWI), T2*-imaging, MR-angiography and dynamic susceptibility-contrast perfusion-weighted imaging (PWI); and (ii) evaluation of recanalization on first angiographic run or non-invasive imaging ≤ 3 h from thrombolysis start. Infarct core volume on DWI, PWI-DWI mismatch volume and hypoperfusion intensity ratio (HIR; defined as Tmax ≥ 10 s volume/ Tmax ≥ 6 s volume, low HIR indicating milder hypoperfusion) were determined using a commercially available software. Early recanalization occurred in 34 (16%) patients, and multivariable analysis was associated with lower HIR (P = 0.006), shorter thrombus on T2*-imaging (P < 0.001) and more distal occlusion (P = 0.006). However, the relationship between HIR and early recanalization was robust only for thrombus length <14 mm. In summary, the present study disclosed an association between lower HIR and early post-thrombolysis recanalization. Early post-thrombolysis recanalization is therefore determined not only by thrombus site and length but also by severity of ischemia.
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Affiliation(s)
- Pierre Seners
- Neurology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Guillaume Turc
- Neurology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Stéphanie Lion
- Radiology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Jean-Philippe Cottier
- Department of Neuroradiology, Bretonneau Hospital, University of Tours, Tours, France
| | - Tae-Hee Cho
- Department of Stroke Medicine, Hospices Civils de Lyon, Université Lyon 1, CREATIS, CNRS UMR 5220-INSERM U1044, INSALyon, Lyon, France
| | | | - Serge Bracard
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Nancy, INSERM U 947, Nancy, France
| | | | - Laurence Legrand
- Radiology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Olivier Naggara
- Radiology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Séverine Debiais
- Department of Neurology, Bretonneau Hospital, University of Tours, Tours, France
| | - Yves Berthezene
- Neuroradiology Department, Hospices Civils de Lyon, Lyon, France
| | - Vincent Costalat
- Department of Interventional Neuroradiology, CHRU Gui de Chauliac, Montpellier, France
| | | | | | - Norbert Nighoghossian
- Department of Stroke Medicine, Hospices Civils de Lyon, Université Lyon 1, CREATIS, CNRS UMR 5220-INSERM U1044, INSALyon, Lyon, France
| | - Ana-Paula Narata
- Department of Neuroradiology, Bretonneau Hospital, University of Tours, Tours, France
| | - Cyril Dargazanli
- Department of Interventional Neuroradiology, CHRU Gui de Chauliac, Montpellier, France
| | - Benjamin Gory
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Nancy, INSERM U 947, Nancy, France
| | - Jean-Louis Mas
- Neurology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Catherine Oppenheim
- Radiology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
| | - Jean-Claude Baron
- Neurology Department, Sainte-Anne Hospital, Université Paris Descartes, INSERM UMR 1266, Paris, France
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15
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Bhan C, Koehler TJ, Elisevich L, Singer J, Mazaris P, James E, Zachariah J, Combs J, Dejesus M, Tubergen T, Packard L, Min J, Wees N, Khan N, Mulderink T, Khan M. Mechanical Thrombectomy for Acute Stroke: Early versus Late Time Window Outcomes. J Neuroimaging 2020; 30:315-320. [DOI: 10.1111/jon.12698] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 11/29/2022] Open
Affiliation(s)
- Chantal Bhan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | | | | | - Justin Singer
- Michgan State University East Lansing MI
- Division of Neurosurgery, Neuroscience InstituteSpectrum Health Grand Rapids MI
| | - Paul Mazaris
- Michgan State University East Lansing MI
- University of Michigan Ann Arbor MI
| | - Elysia James
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Joseph Zachariah
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Jordan Combs
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Michelle Dejesus
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | | | - Laurel Packard
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
| | - Jiangyong Min
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Nabil Wees
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Nadeem Khan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Todd Mulderink
- Department of RadiologySpectrum Health Grand Rapids MI
- Division of RadiologyMichigan State University Grand Rapids MI
- Advanced Radiology ServicesPC Grand Rapids MI
| | - Muhib Khan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
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16
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Qualitative Posttreatment Diffusion-Weighted Imaging as a Predictor of 90-day Outcome in Stroke Intervention. Can J Neurol Sci 2019; 47:160-166. [PMID: 31779719 DOI: 10.1017/cjn.2019.330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE The aim was to assess the ability of post-treatment diffusion-weighted imaging (DWI) to predict 90-day functional outcome in patients with endovascular therapy (EVT) for large vessel occlusion in acute ischemic stroke (AIS). METHODS We examined a retrospective cohort from March 2016 to January 2018, of consecutive patients with AIS who received EVT. Planimetric DWI was obtained and infarct volume calculated. Four blinded readers were asked to predict modified Rankin Score (mRS) at 90 days post-thrombectomy. RESULTS Fifty-one patients received endovascular treatment (mean age 65.1 years, median National Institutes of Health Stroke Scale (NIHSS) 18). Mean infarct volume was 43.7 mL. The baseline NIHSS, 24-hour NIHSS, and the DWI volume were lower for the mRS 0-2 group. Also, the thrombolysis in cerebral infarction (TICI) 2b/3 rate was higher in the mRS 0-2 group. No differences were found in terms of the occlusion level, reperfusion technique, or recombinant tissue plasminogen activator use. There was a significant association noted between average infarct volume and mRS at 90 days. On multivariable analysis, higher infarct volume was significantly associated with 90-day mRS 3-5 when adjusted to TICI scores and occlusion location (OR 1.01; CI 95% 1.001-1.03; p = 0.008). Area under curve analysis showed poor performance of DWI volume reader ability to qualitatively predict 90-day mRS. CONCLUSION The subjective impression of DWI as a predictor of clinical outcome is poorly correlated when controlling for premorbid status and other confounders. Qualitative DWI by experienced readers both overestimated the severity of stroke for patients who achieved good recovery and underestimated the mRS for poor outcome patients. Infarct core quantitation was reliable.
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17
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Tian H, Chen C, Garcia-Esperon C, Parsons MW, Lin L, Levi CR, Bivard A. Dynamic CT but Not Optimized Multiphase CT Angiography Accurately Identifies CT Perfusion Target Mismatch Ischemic Stroke Patients. Front Neurol 2019; 10:1130. [PMID: 31708861 PMCID: PMC6819495 DOI: 10.3389/fneur.2019.01130] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 10/09/2019] [Indexed: 11/13/2022] Open
Abstract
Imaging protocols for acute ischemic stroke varies significantly from center to center leading to challenges in research translation. We aimed to assess the inter-rater reliability of collateral grading systems derived from dynamic computed tomography angiography (CTA) and an optimized multiphase CTA and, to analyze the association of the two CTA modalities with CT perfusion (CTP) compartments by comparing the accuracy of dynamic CTA (dCTA) and optimized multiphase CTA (omCTA) in identifying CT perfusion (CTP) target mismatch patients. Acute ischemic stroke patients with a proximal large vessel occlusion who underwent whole brain CTP were included in the study. Collateral status were assessed using ASPECTS collaterals (Alberta Stroke Program Early CT Score on Collaterals) and ASITN/SIR collateral system (the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology) on dCTA and omCTA. Eighty-one patients were assessed, with a median ischemic core volume of 29 mL. The collateral assessment with ASPECTS collaterals using dCTA have a similar inter-rater agreement (K-alpha: 0.71) compared to omCTA (K-alpha: 0.69). However, the agreement between dCTA and CTP in classifying patients with target mismatch was higher compared to omCTA (Kappa, dCTA: 0.81; omCTA: 0.64). We found dCTA was more accurate than omCTA in identifying target mismatch patients with proximal large vessel occlusion.
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Affiliation(s)
- Huiqiao Tian
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Chushuang Chen
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Carlos Garcia-Esperon
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Mark W Parsons
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Longting Lin
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher R Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Andrew Bivard
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
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18
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Thamm T, Guo J, Rosenberg J, Liang T, Marks MP, Christensen S, Do HM, Kemp SM, Adair E, Eyngorn I, Mlynash M, Jovin TG, Keogh BP, Chen HJ, Lansberg MG, Albers GW, Zaharchuk G. Contralateral Hemispheric Cerebral Blood Flow Measured With Arterial Spin Labeling Can Predict Outcome in Acute Stroke. Stroke 2019; 50:3408-3415. [PMID: 31619150 DOI: 10.1161/strokeaha.119.026499] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background and Purpose- Imaging is frequently used to select acute stroke patients for intra-arterial therapy. Quantitative cerebral blood flow can be measured noninvasively with arterial spin labeling magnetic resonance imaging. Cerebral blood flow levels in the contralateral (unaffected) hemisphere may affect capacity for collateral flow and patient outcome. The goal of this study was to determine whether higher contralateral cerebral blood flow (cCBF) in acute stroke identifies patients with better 90-day functional outcome. Methods- Patients were part of the prospective, multicenter iCAS study (Imaging Collaterals in Acute Stroke) between 2013 and 2017. Consecutive patients were enrolled after being diagnosed with anterior circulation acute ischemic stroke. Inclusion criteria were ischemic anterior circulation stroke, baseline National Institutes of Health Stroke Scale score ≥1, prestroke modified Rankin Scale score ≤2, onset-to-imaging time <24 hours, with imaging including diffusion-weighted imaging and arterial spin labeling. Patients were dichotomized into high and low cCBF groups based on median cCBF. Outcomes were assessed by day-1 and day-5 National Institutes of Health Stroke Scale; and day-30 and day-90 modified Rankin Scale. Multivariable logistic regression was used to test whether cCBF predicted good neurological outcome (modified Rankin Scale score, 0-2) at 90 days. Results- Seventy-seven patients (41 women) met the inclusion criteria with median (interquartile range) age of 66 (55-76) yrs, onset-to-imaging time of 4.8 (3.6-7.7) hours, and baseline National Institutes of Health Stroke Scale score of 13 (9-20). Median cCBF was 38.9 (31.2-44.5) mL per 100 g/min. Higher cCBF predicted good outcome at day 90 (odds ratio, 4.6 [95% CI, 1.4-14.7]; P=0.01), after controlling for baseline National Institutes of Health Stroke Scale, diffusion-weighted imaging lesion volume, and intra-arterial therapy. Conclusions- Higher quantitative cCBF at baseline is a significant predictor of good neurological outcome at day 90. cCBF levels may inform decisions regarding stroke triage, treatment of acute stroke, and general outcome prognosis. Clinical Trial Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT02225730.
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Affiliation(s)
- Thoralf Thamm
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Germany (T.T.)
| | - Jia Guo
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
- Department of Bioengineering, University of California Riverside, Riverside (J.G.)
| | - Jarrett Rosenberg
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
| | - Tie Liang
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
| | - Michael P Marks
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Huy M Do
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
| | - Stephanie M Kemp
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Emma Adair
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Irina Eyngorn
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Tudor G Jovin
- Department of Neurology, Cooper Neurological Institute, Cooper University Hospital, Camden, NJ (T.G.J.)
| | - Bart P Keogh
- Department of Radiology, Swedish Neuroscience Institute, Swedish Medical Center, Seattle, WA (B.P.K.)
| | - Hui J Chen
- Department of Radiology, Eden Medical Center, Castro Valley, CA (H.J.C.)
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford Stroke Center, Stanford University, CA (S.C., S.M.K., E.A., I.E., M.M., M.G.L., G.W.A.)
| | - Greg Zaharchuk
- From the Department of Radiology, Stanford University, CA (T.T., J.G., J.R., T.L., M.P.M., H.M.D., G.Z.)
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19
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Tsivgoulis G, Katsanos AH, Schellinger PD, Köhrmann M, Caso V, Palaiodimou L, Magoufis G, Arthur A, Fischer U, Alexandrov AV. Advanced Neuroimaging in Stroke Patient Selection for Mechanical Thrombectomy. Stroke 2019; 49:3067-3070. [PMID: 30571421 DOI: 10.1161/strokeaha.118.022540] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- There is clinical equipoise about the use of advanced imaging for selecting acute ischemic stroke patients eligible for mechanical thrombectomy (MT) during the first 6 hours from symptom onset. However, accumulating evidence indicates that advanced neuroimaging represents an invaluable and time-independent prognostic factor. Methods- We performed a systematic review and meta-analysis of available randomized clinical trials to evaluate the impact of patient selection with advanced neuroimaging on the 3-month: (1) functional independence (modified Rankin Scale score, 0-2), (2) favorable functional outcome (modified Rankin Scale scores, 0-1), (3) all-cause mortality, and (4) functional improvement (assessed with ordinal analysis of the modified Rankin Scale-scores). We compared patients with perfusion imaging documented penumbra to patients who did not have documented penumbra or perfusion imaging. Results- Among the 10 eligible randomized clinical trials (2227 total patients, mean age: 67 years), 5 studies reported the use of advanced imaging. Studies using advanced neuroimaging showed higher treatment effects of MT on 3-month functional independence (odds ratio [OR], 3.79; 95% CI, 2.71-5.28 versus OR, 1.89; 95% CI, 1.52-2.35; P for subgroup differences <0.001), favorable functional outcome (OR, 3.16; 95% CI, 1.94-5.14 versus OR, 1.75; 95% CI, 1.30-2.34; P for subgroup differences=0.04), and functional improvement (common OR, 2.66; 95% CI, 1.95-3.63 versus common OR, 1.60; 95% CI, 1.32-1.95; P for subgroup differences=0.007) compared with studies using conventional neuroimaging. The pooled rate of successful reperfusion after MT was higher in studies with advanced neuroimaging ( P for subgroup differences=0.003). No difference in the mortality and symptomatic intracranial hemorrhage rates was found between the 2 groups. No evidence of heterogeneity was documented in all reported analyses. Conclusions- The present indirect comparisons indicate that acute ischemic stroke patient selection for MT using advanced neuroimaging appears to be associated with improved clinical outcomes. The use of advanced neuroimaging for both the selection and prediction of prognosis for MT candidates should not depend on the elapsed time from symptom onset.
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Affiliation(s)
- Georgios Tsivgoulis
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Aristeidis H Katsanos
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Peter D Schellinger
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Martin Köhrmann
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Valeria Caso
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Lina Palaiodimou
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Georgios Magoufis
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Adam Arthur
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Urs Fischer
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
| | - Andrei V Alexandrov
- From the Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, Greece (G.T., A.H.K., L.P.).,Department of Neurology (G.T., A.V.A.), University of Tennessee Health Science Center, Memphis.,Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute (A.A.), University of Tennessee Health Science Center, Memphis.,Departments of Neurology and Neurogeriatry, Johannes Wesling Medical Center, Ruhr University Bochum, Minden, Germany (P.D.S.).,Department of Neurology, Universitätsklinikum Essen, Germany (M.K.).,Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (V.C.).,Stroke Unit, Metropolitan Hospital, Piraeus, Greece (G.M.).,Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Switzerland (U.F.)
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20
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Abstract
PURPOSE OF REVIEW Multimodal CT imaging (non-contrast CT, NCCT; CT angiography, CTA; and CT Perfusion, CTP) is central to acute ischemic stroke diagnosis and treatment. We reviewed the purpose and interpretation of each component of multimodal CT, as well as the evidence for use in routine care. RECENT FINDINGS Acute stroke thrombolysis can be administered immediately following NCCT in acute ischemic stroke patients assessed within 4.5 h of symptom onset. Definitive identification of a large vessel occlusion (LVO) requires vascular imaging, which is easily achieved with CTA. This is critical, as the standard of care for LVO within 6 h of onset is now endovascular thrombectomy (EVT). CTA source images can also be used to estimate the efficacy of collateral flow in LVO patients. The final component (CTP) permits a more accurate assessment of the extent of the ischemic penumbra. Complete multimodal CT, including objective penumbral measurement with CTP, has been used to extend the EVT window to 24 h. There is also randomized controlled trial evidence for extension of the IV thrombolysis window to 9 h with multimodal CT. Although there have been attempts to assess for responders to reperfusion strategies beyond 6 h ("late window") using collateral grades, the only evidence for treatment of this group of patients is based on selection using multimodal CT including CTP. The development of fully automated software providing quantitative ischemic penumbral and core volumes has facilitated the adoption of CTP and complete multimodal CT into routine clinical use. Multimodal CT is a powerful imaging algorithm that is central to current ischemic stroke patient care.
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21
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Velasco González A, Buerke B, Görlich D, Chapot R, Smagge L, Velasco MDV, Sauerland C, Heindel W. Variability in the decision-making process of acute ischemic stroke in difficult clinical and radiological constellations: analysis based on a cross-sectional interview-administered stroke questionnaire. Eur Radiol 2019; 29:6275-6284. [PMID: 31076863 DOI: 10.1007/s00330-019-06199-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 03/11/2019] [Accepted: 03/25/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Notwithstanding guidelines, indications for mechanical thrombectomy (MT) in acute ischemic stroke are multifactorial and can be complex. Our aim was to exploratively evaluate decision-making on the advisability of performing MT in cases presented as an interview-administered questionnaire. METHODS Fifty international raters assessed 12 cases and decided to recommend or exclude MT. Each case contained a brief summary of clinical information and eight representative images of the initial multimodal CT. The demographic characteristics and stroke protocols were recorded for raters. For each case, the reasons for excluding MT were recorded. Uni- and multivariate logistic regression analysis were performed for the different demographic and case characteristics to identify factors that might influence decision-making. RESULTS All raters performed MT (median MTs/hospital/year [IQR], 100 [50-141]) with a median of 7 years of experience as first operator (IQR, 4-12). Per case, diversity in decision-making ranged between 1 (case 6, 100% yes MT) and 0.50 (case 12, 54.2% yes MT and 45.8% no MT). The most common reasons for excluding MT were small CBV/CBF mismatch (17%, 102/600), size of infarct core on the CBV map (15.2%, 91/600), and low NIHSS score (National Institute of Health Stroke Scale, 8.3%, 50/600). All clinical and radiological characteristics significantly affected the decision regarding MT, but the general characteristics of the raters were not a factor. CONCLUSIONS Clinical and imaging characteristics influenced the decision regarding MT in stroke. Nevertheless, a consensus was reached in only a minority of cases, revealing the current divergence of opinion regarding therapeutic decisions in difficult cases. KEY POINTS • This is the first study to explore differences in decision-making in respect of mechanical thrombectomy in ischemic stroke with complex clinical and radiological constellations. • Fifty experienced international neurointerventionalists answered this interview-administered stroke questionnaire and made decisions as to whether to recommend or disadvise thrombectomy in 12 selected cases. • Diversity in decision-making for thrombectomy ranged from 1 (100% of raters offered the same answer) to 0.5 (50% indicated mechanical thrombectomy). There was a consensus in only a minority of cases, revealing the current disparity of opinion regarding therapeutic decisions in difficult cases.
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Affiliation(s)
- Aglaé Velasco González
- Institute of Clinical Radiology and Neuroradiology, University Hospital of Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany.
| | - Boris Buerke
- Institute of Clinical Radiology and Neuroradiology, University Hospital of Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
| | - Dennis Görlich
- Institute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany
| | - Rene Chapot
- Department of Neuroradiology, Alfried-Krupp Krankenhaus Hospital, Alfried-Krupp Straße 21, 45131, Essen, Germany
| | - Lucas Smagge
- Institute of Clinical Radiology and Neuroradiology, University Hospital of Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
| | - Maria Del Valle Velasco
- University Hospital of the Canary Islands, Carretera de la Cuesta, Taco 0, 38320, Santa Cruz de Tenerife, Spain
| | - Cristina Sauerland
- Institute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany
| | - Walter Heindel
- Institute of Clinical Radiology and Neuroradiology, University Hospital of Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
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22
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Jenson M, Libby J, Soule E, Sandhu SJ, Fiester PJ, Rao D. CT Perfusion Protocol for Acute Stroke Expedites Mechanical Thrombectomy. Cureus 2019; 11:e4546. [PMID: 31275770 PMCID: PMC6592833 DOI: 10.7759/cureus.4546] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The evaluation of a patient suspected of having an acute cerebrovascular accident is initiated with computed tomography (CT) and computed tomography angiogram (CTA) cross-sectional imaging of the head. Eligible patients may subsequently receive magnetic resonance imaging (MRI) utilizing a hyperacute stroke protocol. Clinical and imaging selection criteria are used to assess candidates for possible thrombectomy or thrombolysis. Prompt restoration of flow to ischemic regions of the cerebrum may result in improved neurological outcomes. Reducing delays in diagnosis and treatment remains paramount to effective treatment of ischemic cerebrovascular events. In an effort to expedite intra-arterial intervention, we replaced our institutional MRI protocol with a CT perfusion protocol. The amount of time the patient spent undergoing imaging was measured with each protocol and is referred to as "stroke imaging time." The purpose of this study was to compare the difference in the amount of time patients spent undergoing imaging when the acute stroke workup was performed with MRI vs. CT perfusion. Stroke imaging time decreased from an average of 158 minutes to 81 minutes (49%) by substituting CT perfusion for MRI. Utilizing CT perfusion in lieu of MRI in the hyperacute stroke protocol may expedite intra-arterial intervention.
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Affiliation(s)
- Matthew Jenson
- Radiology, University of Florida College of Medicine, Jacksonville, USA
| | - Jeremiah Libby
- Radiology, University of Florida College of Medicine, Jacksonville, USA
| | - Erik Soule
- Interventional Radiology, University of Florida College of Medicine, Jacksonville, USA
| | | | - Peter J Fiester
- Neuroradiology, University of Florida Health, Jacksonville, USA
| | - Dinesh Rao
- Neuroradiology, University of Florida Health, Jacksonville, USA
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23
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Tsivgoulis G, Katsanos AH, Alexandrov AV. Response by Tsivgoulis et al to Letter Regarding Article, "Advanced Neuroimaging in Stroke Patient Selection for Mechanical Thrombectomy". Stroke 2019; 50:e131. [PMID: 30896335 DOI: 10.1161/strokeaha.119.025116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Aristeidis H Katsanos
- Second Department of Neurology, "Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Andrei V Alexandrov
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN
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