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Nowinski WL. Taxonomy of Acute Stroke: Imaging, Processing, and Treatment. Diagnostics (Basel) 2024; 14:1057. [PMID: 38786355 PMCID: PMC11119045 DOI: 10.3390/diagnostics14101057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/01/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024] Open
Abstract
Stroke management employs a variety of diagnostic imaging modalities, image processing and analysis methods, and treatment procedures. This work categorizes methods for stroke imaging, image processing and analysis, and treatment, and provides their taxonomies illustrated by a state-of-the-art review. Imaging plays a critical role in stroke management, and the most frequently employed modalities are computed tomography (CT) and magnetic resonance (MR). CT includes unenhanced non-contrast CT as the first-line diagnosis, CT angiography, and CT perfusion. MR is the most complete method to examine stroke patients. MR angiography is useful to evaluate the severity of artery stenosis, vascular occlusion, and collateral flow. Diffusion-weighted imaging is the gold standard for evaluating ischemia. MR perfusion-weighted imaging assesses the penumbra. The stroke image processing methods are divided into non-atlas/template-based and atlas/template-based. The non-atlas/template-based methods are subdivided into intensity and contrast transformations, local segmentation-related, anatomy-guided, global density-guided, and artificial intelligence/deep learning-based. The atlas/template-based methods are subdivided into intensity templates and atlases with three atlas types: anatomy atlases, vascular atlases, and lesion-derived atlases. The treatment procedures for arterial and venous strokes include intravenous and intraarterial thrombolysis and mechanical thrombectomy. This work captures the state-of-the-art in stroke management summarized in the form of comprehensive and straightforward taxonomy diagrams. All three introduced taxonomies in diagnostic imaging, image processing and analysis, and treatment are widely illustrated and compared against other state-of-the-art classifications.
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Affiliation(s)
- Wieslaw L Nowinski
- Sano Centre for Computational Personalised Medicine, Czarnowiejska 36, 30-054 Krakow, Poland
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2
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Grau García M, Pérez Bea M, Angulo Saiz A, Díez Fontaneda V, Cintora Leon E. Update on imaging in Code Stroke. RADIOLOGÍA (ENGLISH EDITION) 2023; 65 Suppl 1:S3-S10. [PMID: 37024228 DOI: 10.1016/j.rxeng.2022.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 10/31/2022] [Indexed: 04/08/2023]
Abstract
"Code Stroke" is a multidisciplinary procedure designed to detect acute ischemic strokes and transfer patients for early reperfusion. Selecting these patients requires multimodal imaging with either CT or MRI. 1) Conventional studies without contrast material are obligatory to detect bleeding. Applying the ASPECTS scale, these studies can also identify and quantify areas of early infarction. 2) In candidates for mechanical thrombectomy, angiographic studies are necessary to identify stenoses and obstructions and to evaluate the collateral circulation. 3) Patients with known onset between 6 and 24h or with unknown onset require perfusion studies to distinguish between infracted tissue and recoverable ischemic tissue. Semi-automatic software facilitates diagnosis, but radiologists must interpret its output.
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Affiliation(s)
- M Grau García
- Médico adjunto de Radiodiagnóstico, Sección Urgencias, Hospital Universitario Basurto, Bilbao, Vizcaya, Spain.
| | - M Pérez Bea
- Médico adjunto de Radiodiagnóstico, Sección Urgencias, Hospital Universitario Basurto, Bilbao, Vizcaya, Spain
| | - A Angulo Saiz
- Médico adjunto de Radiodiagnóstico, Sección Urgencias, Hospital Universitario Basurto, Bilbao, Vizcaya, Spain
| | - V Díez Fontaneda
- Médico residente de Radiodiagnóstico, Hospital Universitario Basurto, Bilbao, Vizcaya, Spain
| | - E Cintora Leon
- Jefa de Servicio de Radiodiagnóstico, Hospital Universitario Basurto, Bilbao, Vizcaya, Spain
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Palakurti R, Biswas N, Roy S, Gnyawali SC, Sinha M, Singh K, Ghatak S, Sen CK, Khanna S. Inducible miR-1224 silences cerebrovascular Serpine1 and restores blood flow to the stroke-affected site of the brain. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 31:276-292. [PMID: 36726407 PMCID: PMC9868883 DOI: 10.1016/j.omtn.2022.12.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 12/31/2022] [Indexed: 01/04/2023]
Abstract
The α-tocotrienol (TCT) form of natural vitamin E is more potent than the better known α-tocopherol against stroke. Angiographic studies of canine stroke have revealed beneficial cerebrovascular effects of TCT. This work seeks to understand the molecular basis of such effect. In mice, TCT supplementation improved perfusion at the stroke-affected site by inducing miR-1224. miRNA profiling of a laser-capture-microdissected stroke-affected brain site identified miR-1224 as the only vascular miR induced. Lentiviral knockdown of miR-1224 significantly blunted the otherwise beneficial effects of TCT on stroke outcomes. Studies on primary brain microvascular endothelial cells revealed direct angiogenic properties of miR-1224. In mice not treated with TCT, advance stereotaxic delivery of an miR-1224 mimic to the stroke site markedly improved stroke outcomes. Mechanistic studies identified Serpine1 as a target of miR-1224. Downregulation of Serpine1 augmented the angiogenic response of the miR-1224 mimic in the brain endothelial cells. The inhibition of Serpine1, by dietary TCT and pharmacologically, increased cerebrovascular blood flow at the stroke-affected site and protected against stroke. This work assigns Serpine1, otherwise known to be of critical significance in stroke, a cerebrovascular function that worsens stroke outcomes. miR-1224-dependent inhibition of Serpine1 can be achieved by dietary TCT as well as by the small-molecule inhibitor TM5441.
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Affiliation(s)
- Ravichand Palakurti
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Nirupam Biswas
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sashwati Roy
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Surya C. Gnyawali
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Mithun Sinha
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Kanhaiya Singh
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Subhadip Ghatak
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Chandan K. Sen
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Savita Khanna
- Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA,Corresponding author: Savita Khanna, PhD, Department of Surgery, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
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Grau García M, Pérez Bea M, Angulo Saiz A, Díez Fontaneda V, Cintora Leon E. Actualización del código ictus en urgencias. RADIOLOGIA 2022. [DOI: 10.1016/j.rx.2022.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Chung KJ, Khaw AV, Lee DH, Pandey S, Mandzia J, Lee TY. Low-dose CT Perfusion with Sparse-view Filtered Back Projection in Acute Ischemic Stroke. Acad Radiol 2022; 29:1502-1511. [PMID: 35300907 DOI: 10.1016/j.acra.2022.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/15/2022] [Accepted: 01/24/2022] [Indexed: 12/30/2022]
Abstract
RATIONALE AND OBJECTIVES Radiation dose associated with computed tomography (CT) perfusion (CTP) may discourage its use despite its added diagnostic benefit in quantifying ischemic lesion volume. Sparse-view CT reduces scan dose by acquiring fewer X-ray projections per gantry rotation but is contaminated by streaking artifacts using filtered back projection (FBP). We investigated the achievable dose reduction by sparse-view CTP with FBP without affecting CTP lesion volume estimations. MATERIALS AND METHODS Thirty-eight consecutive patients with acute ischemic stroke and CTP were included in this simulation study. CTP projection data was simulated by forward projecting original reconstructions with 984 views and adding Gaussian noise. Full-view (984 views) and sparse-view (492, 328, 246, and 164 views) CTP studies were simulated by FBP of simulated projection data. Cerebral blood flow (CBF) and time-to-maximum of the impulse residue function (Tmax) maps were generated by deconvolution for each simulated CTP study. Ischemic volumes were measured by CBF<30% relative to the contralateral hemisphere and Tmax > 6 s. Volume accuracy was evaluated with respect to the full-view CTP study by the Friedman test with post hoc multiplicity-adjusted pairwise tests and Bland-Altman analysis. RESULTS Friedman and multiplicity-adjusted pairwise tests indicated that 164-view CBF < 30%, 246- and 164-view Tmax > 6 s volumes were significantly different to full-view volumes (p < 0.001). Mean difference ± standard deviation (sparse minus full-view lesion volume) ranged from -1.0 ± 2.8 ml to -4.1 ± 11.7 ml for CBF < 30% and -2.9 ± 3.8 ml to -12.5 ± 19.9 ml for Tmax > 6 s from 492 to 164 views, respectively. CONCLUSION By ischemic volume accuracy, our study indicates that sparse-view CTP may allow dose reduction by up to a factor of 3.
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Affiliation(s)
- Kevin J Chung
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada; Robarts Research Institute and Lawson Health Research Institute, University of Western Ontario, 1151 Richmond Street N, London, ON N6A 5B7, Canada
| | - Alexander V Khaw
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Donald H Lee
- Department of Medical Imaging, University of Western Ontario, London, ON, Canada
| | - Sachin Pandey
- Department of Medical Imaging, University of Western Ontario, London, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Ting-Yim Lee
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada; Robarts Research Institute and Lawson Health Research Institute, University of Western Ontario, 1151 Richmond Street N, London, ON N6A 5B7, Canada; Department of Medical Imaging, University of Western Ontario, London, ON, Canada.
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Beyond the AJR: Comparable Clinical Outcomes When Using Noncontrast CT, CT Perfusion Imaging, or MRI to Select Patients With Stroke for Mechanical Thrombectomy. AJR Am J Roentgenol 2022; 219:684. [PMID: 35138131 DOI: 10.2214/ajr.22.27481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Mazzai L, Anglani M, Giraudo C, Martucci M, Cester G, Causin F. Imaging features of rhinocerebral mucormycosis: from onset to vascular complications. Acta Radiol 2022; 63:232-244. [PMID: 33615823 DOI: 10.1177/0284185120988828] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Rhinocerebral mucormycosis (RCM) may result in severe intracranial ischemic and hemorrhagic lesions. Both computed tomography (CT) and magnetic resonance imaging (MRI) play an essential role in the diagnosis of RCM, but whereas CT is better for assessing bone erosion, MRI is superior in evaluating soft tissue, intraorbital extension, and in assessing intracranial and vascular invasion. Specific CT and MRI techniques, such as CT angiography or enhanced MR angiography, and more advanced MRI sequences such as gadolinium-3D Black Blood imaging, contribute to the assessment of the extension of vascular invasion.In this pictorial review, we describe specific CT and MRI signs of RCM, mainly focusing on its life-threatening complications due to vascular involvement.
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Affiliation(s)
- Linda Mazzai
- Neuroradiology UOC, Department of Diagnostics, San Bortolo Vicenza Hospital, Vicenza, Italy
| | - Mariagiulia Anglani
- Neuroradiology UOC, Neuroscience Department, Padova University Hospital, Padova, Italy
| | - Chiara Giraudo
- Institute of Radiology, Department of Medicine (DiMED), University of Padova, Padova, Italy
| | - Matia Martucci
- Neuroradiology UOC, Neuroscience Department, Padova University Hospital, Padova, Italy
| | - Giacomo Cester
- Neuroradiology UOC, Neuroscience Department, Padova University Hospital, Padova, Italy
| | - Francesco Causin
- Neuroradiology UOC, Neuroscience Department, Padova University Hospital, Padova, Italy
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El-Hariri H, Souto Maior Neto LA, Cimflova P, Bala F, Golan R, Sojoudi A, Duszynski C, Elebute I, Mousavi SH, Qiu W, Menon BK. Evaluating nnU-Net for early ischemic change segmentation on non-contrast computed tomography in patients with Acute Ischemic Stroke. Comput Biol Med 2021; 141:105033. [PMID: 34802712 DOI: 10.1016/j.compbiomed.2021.105033] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/04/2021] [Accepted: 11/10/2021] [Indexed: 01/29/2023]
Abstract
Identifying the presence and extent of early ischemic changes (EIC) on Non-Contrast Computed Tomography (NCCT) is key to diagnosing and making time-sensitive treatment decisions in patients that present with Acute Ischemic Stroke (AIS). Segmenting EIC on NCCT is however a challenging task. In this study, we investigated a 3D CNN based on nnU-Net, a self-adapting CNN technique that has become the state-of-the-art in medical image segmentation, for segmenting EIC in NCCT of AIS patients. We trained and tested this model on a sizeable and heterogenous dataset of 534 patients, split into 438 for training and validation and 96 for testing. On this test set, we additionally assessed the inter-rater performance by comparing the proposed approach against two reference segmentation annotations by expert neuroradiologist readers, using this as the benchmark against which to compare our model. In terms of spatial agreement, we report median Dice Similarity Coefficients (DSCs) of 39.8% for the model vs. Reader-1, 39.4% for the model vs. Reader-2, and 55.6% for Reader-2 vs. Reader-1. In terms of lesion volume agreement, we report Intraclass Correlation Coefficients (ICCs) of 83.4% for model vs. Reader-1, 80.4% for model vs. Reader-2, and 94.8% for Reader-2 vs. Reader-1. Based on these results, we conclude that our model performs well relative to expert human performance and therefore may be useful as a decision-aid for clinicians.
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Affiliation(s)
| | | | - Petra Cimflova
- Department of Clinical Neurosciences, Foothills Medical Center, University of Calgary, Calgary, AB, Canada; Department of Medical Imaging, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic; Faculty of Medicine and University Hospital, Hradec Kralove, Czech Republic; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada
| | - Fouzi Bala
- Department of Clinical Neurosciences, Foothills Medical Center, University of Calgary, Calgary, AB, Canada
| | - Rotem Golan
- Circle Neurovascular Imaging Inc, Calgary, AB, Canada
| | | | | | | | | | - Wu Qiu
- Department of Clinical Neurosciences, Foothills Medical Center, University of Calgary, Calgary, AB, Canada
| | - Bijoy K Menon
- Department of Clinical Neurosciences, Foothills Medical Center, University of Calgary, Calgary, AB, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
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Abstract
PURPOSE OF REVIEW This article describes how imaging can be used by physicians in diagnosing, determining prognosis, and making appropriate treatment decisions in a timely manner in patients with acute stroke. RECENT FINDINGS Advances in acute stroke treatment, including the use of endovascular thrombectomy in patients with large vessel occlusion and, more recently, of IV thrombolysis in an extended time window, have resulted in a paradigm shift in how imaging is used in patients with acute stroke. This paradigm shift, combined with the understanding that "time is brain," means that imaging must be fast, reliable, and available around the clock for physicians to make appropriate clinical decisions. CT has therefore become the primary imaging modality of choice. Recognition of a large vessel occlusion using CT angiography has become essential in identifying patients for endovascular thrombectomy, and techniques such as imaging collaterals on CT angiography or measuring blood flow to predict tissue fate using CT perfusion have become useful tools in selecting patients for acute stroke therapy. Understanding the use of these imaging modalities and techniques in dealing with an emergency such as acute stroke has therefore become more important than ever for physicians treating patients with acute stroke. SUMMARY Imaging the brain and the blood vessels supplying it using modern tools and techniques is a key step in understanding the pathophysiology of acute stroke and making appropriate and timely clinical decisions.
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Kim B, You SH, Jung SC. A Multicenter Survey of Acute Stroke Imaging Protocols for Endovascular Thrombectomy. Neurointervention 2020; 16:20-28. [PMID: 33267533 PMCID: PMC7946564 DOI: 10.5469/neuroint.2020.00199] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 10/27/2020] [Indexed: 12/04/2022] Open
Abstract
Purpose Identifying current practices in acute stroke imaging is essential for establishing optimal imaging protocols. We surveyed and assessed the current status of acute stroke imaging for endovascular thrombectomy (EVT) at tertiary hospitals throughout South Korea. Materials and Methods An electronic questionnaire on imaging protocols for EVT in patients with acute ischemic stroke was e-mailed to physicians at 42 registered tertiary hospitals, and their responses were collected between February and March 2020. Results Of the 36 hospitals participating in the survey, 69% (25/36) adopted computed tomography (CT)-based protocols, whereas 31% (11/36) adopted magnetic resonance (MR)-based protocols. Non-enhanced CT (NECT) was the initial imaging study at 28%, NECT with CT angiography (CTA) at 36%, and NECT with CTA and CT perfusion (CTP) at 33% of hospitals. Perfusion imaging was performed at 61% (22/36), CTP at 44% (16/36), and MR perfusion at 17% (6/36) of hospitals. Multiphase CTA was performed at 67%, single-phase CTA at 11%, time-of-flight MR angiography (MRA) at 8%, contrast-enhanced MRA at 8%, and both at 6% of hospitals. For late time window stroke, 50% of hospitals used identical imaging protocols to those for early time window stroke, 39% used additional MR imaging (MRI), and 6% converted the imaging strategy from CT to MRI. Post-processing programs were used at 28% (10/36), and RAPID software at 14% (5/36) of hospitals, respectively. Most hospitals (92%) used the same imaging protocols for posterior and anterior circulation strokes. Conclusion Our multicenter survey demonstrated considerable heterogeneity in acute stroke imaging protocols across South Korean tertiary hospitals, suggesting that hospitals refine their imaging protocols according to hospital-specific conditions.
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Affiliation(s)
- Byungjun Kim
- Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Sung-Hye You
- Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seung Chai Jung
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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11
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Fasen BACM, Heijboer RJJ, Hulsmans FJH, Kwee RM. Diagnostic performance of single-phase CT angiography in detecting large vessel occlusion in ischemic stroke: A systematic review. Eur J Radiol 2020; 134:109458. [PMID: 33302028 DOI: 10.1016/j.ejrad.2020.109458] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/24/2020] [Accepted: 11/30/2020] [Indexed: 11/17/2022]
Abstract
PURPOSE To systematically review the diagnostic performance of single-phase CT angiography (CTA) in detecting intracranial large vessel occlusion (LVO). METHOD MEDLINE and Embase were searched for studies investigating the diagnostic performance of single-phase CTA in detecting LVO. Study quality was assessed. Sensitivity and specificity were calculated and meta-analyzed with a bivariate random-effects model. Heterogeneity was assessed with a chi-squared test. RESULTS Eleven studies were included. High risk of bias with regard to "patient selection", "reference standard", and "flow and timing" was present in 4, 1, and 2 studies, respectively. In 7 studies, it was unclear whether reference tests were interpreted blinded to CTA readings. There was variability in types of vessel segments analyzed, resulting in heterogeneous sensitivity and specificity (P < 0.05). Two studies provided data for the proximal anterior circulation (distal intracranial carotid artery, A1-, A2-, M1- and M2-segments), with pooled sensitivity of 88.4 % (95 % CI: 62.2-97.2 %) and pooled specificity of 98.5 % (95 % CI: 33.2-100 %). One study suggested that multiphase CTA improved agreement between nonexperts and an expert in detecting A1-, A2-, M1-, M2-, and M3-segment occlusions compared to single-phase CTA (ĸ = 0.72-0.76 vs. ĸ = 0.32-0.45). No other included study reported added value of advanced CTA (CT perfusion, 4D-CTA, or multiphase CTA) compared to single-phase CTA in detecting proximal anterior circulation LVO. CONCLUSION There is lack of high-quality studies on the diagnostic performance of single-phase CTA for LVO detection in the proximal anterior circulation. The added value of advanced CTA techniques in detecting proximal anterior circulation LVO is not completely clear yet.
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Affiliation(s)
- Bram A C M Fasen
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Roeland J J Heijboer
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Frans-Jan H Hulsmans
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
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Wadhwa A, Joundi RA, Menon B. Clinical considerations and assessment of risk factors when choosing endovascular thrombectomy for acute stroke. Expert Rev Cardiovasc Ther 2020; 18:541-556. [PMID: 32686967 DOI: 10.1080/14779072.2020.1798229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION The advent of endovascular thrombectomy (EVT) has been a game changer for the management of acute ischemic stroke due to large vessel occlusion. However, the selection of suitable candidates for EVT remains a significant challenge. AREAS COVERED This review focuses on the clinical, radiological, and procedural considerations for EVT in acute stroke that assist in optimal patient selection. EXPERT OPINION All patients presenting with significant clinical deficits with treatable occlusions, who have salvageable brain tissue at presentation might benefit from treatment up to twenty-four hours from symptom onset. Neuroimaging tools form the backbone for this decision making.
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Affiliation(s)
- Ankur Wadhwa
- Calgary Stroke Program, University of Calgary, Foot Hills Medical Center , Calgary, AB, Canada
| | - Raed A Joundi
- Calgary Stroke Program, University of Calgary, Foot Hills Medical Center , Calgary, AB, Canada
| | - Bijoy Menon
- Clinical Neurosciences, University of Calgary, Foot Hills Medical Center , Calgary, AB, Canada
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Puig J, Shankar J, Liebeskind D, Terceño M, Nael K, Demchuk AM, Menon B, Dowlatshahi D, Leiva-Salinas C, Wintermark M, Thomalla G, Silva Y, Serena J, Pedraza S, Essig M. From "Time is Brain" to "Imaging is Brain": A Paradigm Shift in the Management of Acute Ischemic Stroke. J Neuroimaging 2020; 30:562-571. [PMID: 32037629 DOI: 10.1111/jon.12693] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/21/2020] [Accepted: 01/22/2020] [Indexed: 11/30/2022] Open
Abstract
Arterial recanalization to restore the blood supply and limit the brain damage is the primary goal in the management of acute ischemic stroke (AIS). Since the publication of pivotal randomized clinical trials in 2015, endovascular thrombectomy has become part of the standard of care in selected cases of AIS from large-vessel occlusions up to 6 hours after the onset of symptoms. However, the association between endovascular reperfusion and improved functional outcome is not strictly time dependent. Rather than on rigid time windows, candidates should be selected based on vascular and physiologic information. This approach places imaging data at the center of treatment decisions. Advances in imaging-based management of AIS provide crucial information about vessel occlusion, infarct core, ischemic penumbra, and degree of collaterals. This information is invaluable in identifying patients who are likely to benefit from reperfusion therapies and excluding those who are unlikely to benefit or are at risk of adverse effects. The approach to reperfusion therapies continues to evolve, and imaging is acquiring a greater role in the diagnostic work-up and treatment decisions as shown in recent clinical trials with extended time window. The 2018 American Heart Association/American Stroke Association guidelines reflect a paradigm shift in the management of AIS from "Time is Brain" to "Imaging is Brain." This review discusses the essential role of multimodal imaging developing from recent trials on therapy for AIS.
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Affiliation(s)
- Josep Puig
- Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Radiology, Hospital Universitari Dr Josep Trueta - IDIBGI, Girona, Spain
| | - Jai Shankar
- Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - David Liebeskind
- Department of Neurology, Neurovascular Imaging Research Core and UCLA Stroke Center, University of California, Los Angeles, CA
| | - Mikel Terceño
- Department of Neurology, Hospital Universitari de Girona Dr Josep Trueta - IDIBGI, Girona, Spain
| | - Kambiz Nael
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Andrew M Demchuk
- Department of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Bijoy Menon
- Department of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Max Wintermark
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Stanford, CA
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yolanda Silva
- Department of Neurology, Hospital Universitari de Girona Dr Josep Trueta - IDIBGI, Girona, Spain
| | - Joaquin Serena
- Department of Neurology, Hospital Universitari de Girona Dr Josep Trueta - IDIBGI, Girona, Spain
| | - Salvador Pedraza
- Department of Radiology, Hospital Universitari Dr Josep Trueta - IDIBGI, Girona, Spain
| | - Marco Essig
- Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada
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Kim JT, Cho BH, Choi KH, Park MS, Kim BJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Nah HW, Park TH, Park SS, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Yeo MJ, Sohn SI, Hong JH, Lee JS, Lee J, Bae HJ, Cho KH. Magnetic Resonance Imaging Versus Computed Tomography Angiography Based Selection for Endovascular Therapy in Patients With Acute Ischemic Stroke. Stroke 2019; 50:365-372. [PMID: 30612537 DOI: 10.1161/strokeaha.118.023173] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Randomized trials comparing the use of multimodal magnetic resonance imaging (MRI) to multimodal computed tomography (CT)/ CT angiography (CTA) for selecting candidates for endovascular therapy (EVT) have not been reported. This study aimed to elucidate whether MRI-based selection for EVT is safe and effective within and after a 6-hour time window compared with conventional CTA-based selection. Methods- Data from a prospective, nationwide, multicenter stroke registry were analyzed. Workflow timelines were compared between patients selected for EVT based on MRI (the MRI group) and CTA (the CTA group). Multivariable ordinal and binary logistic regression analyses were performed to explore the relationships between decision imaging for EVT and clinical outcomes, including good and excellent outcomes (modified Rankin Scale scores of 0-2 and 0-1, respectively) at 3-month, modified Rankin Scale score distributions and safety outcomes (symptomatic intracranial hemorrhage [SICH] and mortality). Results- Ultimately, 1265 patients (age, 69±12 yrs; men, 55%) were enrolled in this study. The median National Institutes of Health Stroke Scale score was 15 (11-19). All workflow time metrics were significantly delayed in the MRI group compared with the CTA group. There was no difference in good 3-month outcomes in patients arriving within 6 hours of onset between the MRI and CTA groups (38.1% versus 38.5%), but SICH and mortality rates were lower in the MRI group than the CTA group (3.8% versus 7.7%, P=0.01 for SICH; 15.4% versus 20.9%, P=0.04 for mortality). In the multivariable analysis, decision imaging was not significantly associated with 3-month functional outcomes (all P>0.1) or mortality ( P=0.051); however, the MRI group was less likely to develop SICH than the CTA group ( P=0.01; odds ratio, 0.34 [95% CI, 0.17-0.77]). Conclusions- Our study found MRI-based selection for EVT was not associated with improving functional outcome compared with CT-based selection, but may be better at reducing the risk of SICH, despite the delays in all workflow time metrics.
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Affiliation(s)
- Joon-Tae Kim
- From the Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., B.-H.C., K.-H. Choi, M.-S.P., K.-H. Cho)
| | - Bang-Hoon Cho
- From the Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., B.-H.C., K.-H. Choi, M.-S.P., K.-H. Cho)
| | - Kang-Ho Choi
- From the Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., B.-H.C., K.-H. Choi, M.-S.P., K.-H. Cho)
| | - Man-Seok Park
- From the Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., B.-H.C., K.-H. Choi, M.-S.P., K.-H. Cho)
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., H.-J.B.)
| | - Jong-Moo Park
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea (J.-M.P., K.K.)
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea (J.-M.P., K.K.)
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea (S.J.L., J.G.K.)
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K., H.-W.N.)
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K., H.-W.N.)
| | - Hyun-Wook Nah
- Department of Neurology, Dong-A University Hospital, Busan, Korea (J.-K.C., D.-H.K., H.-W.N.)
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Korea (T.H.P., S.-S.P.)
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Korea (T.H.P., S.-S.P.)
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, Korea (K.B.L.)
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Korea (J.L.)
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Hong-Kyun Park
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Korea (K.-S.H., Y.-J.C., H.-K.P.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea (B.-C.L., K.-H.Y., M.S.O.)
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea (D.-E.K., W.-S.R.)
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Korea (J.C.C.)
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Korea (J.-H.K., W.J.K.)
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Korea (J.-H.K., W.J.K.)
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea (D.-I.S., M.-J.Y.)
| | - Min-Ju Yeo
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea (D.-I.S., M.-J.Y.)
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea (S.I.S., J.-H.H.)
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Korea (S.I.S., J.-H.H.)
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Seoul, Korea (J.S.L.)
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul (J.L.)
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea (B.J.K., H.-J.B.)
| | - Ki-Hyun Cho
- From the Department of Neurology, Chonnam National University Hospital, Gwangju, Korea (J.-T.K., B.-H.C., K.-H. Choi, M.-S.P., K.-H. Cho)
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15
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Lakomkin N, Dhamoon M, Carroll K, Singh IP, Tuhrim S, Lee J, Fifi JT, Mocco J. Prevalence of large vessel occlusion in patients presenting with acute ischemic stroke: a 10-year systematic review of the literature. J Neurointerv Surg 2018; 11:241-245. [PMID: 30415226 DOI: 10.1136/neurintsurg-2018-014239] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 10/12/2018] [Accepted: 10/19/2018] [Indexed: 11/03/2022]
Abstract
BACKGROUND Accurate assessment of the prevalence of large vessel occlusion (LVO) in patients presenting with acute ischemic stroke (AIS) is critical for optimal resource allocation in neurovascular intervention. OBJECTIVE To perform a systematic review of the literature in order to identify the proportion of patients with AIS presenting with LVO on image analysis. METHODS A systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in order to identify studies reporting LVO rates for patients presenting with AIS. Studies that included patients younger than 18 years, were non-clinical, or did not report LVO rates in the context of a consecutive AIS series were excluded. Characteristics regarding presentation, diagnosis, and LVO classification were recorded for each paper. RESULTS Sixteen studies, spanning a total of 11 763 patients assessed for stroke, were included in the qualitative synthesis. The majority (10/16) of articles reported LVO rates exceeding 30% in patients presenting with AIS. There was substantial variability in the LVO definitions used, with nine unique classification schemes among the 16 studies. The mean prevalence of LVO was 31.1% across all studies, and 29.3% when weighted by the number of patients included in each study. CONCLUSIONS Despite the wide variability in LVO classification, the majority of studies in the last 10 years report a high prevalence of LVO in patients presenting with AIS. These rates of LVO may have implications for the volume of patients with AIS who may benefit from endovascular therapy.
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Affiliation(s)
- Nikita Lakomkin
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Mandip Dhamoon
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Kirsten Carroll
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Inder Paul Singh
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Stanley Tuhrim
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Joyce Lee
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Johanna T Fifi
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - J Mocco
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
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16
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Grau García M, Pérez Bea M, López Medina A. Papel del estudio radiológico multimodal en el código ictus. RADIOLOGIA 2018; 60:3-9. [DOI: 10.1016/j.rx.2017.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 07/11/2017] [Accepted: 08/17/2017] [Indexed: 11/30/2022]
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17
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Saposnik G, Strbian D. Enlightenment and Challenges Offered by DAWN Trial (DWI or CTP Assessment With Clinical Mismatch in the Triage of Wake Up and Late Presenting Strokes Undergoing Neurointervention With Trevo). Stroke 2017; 49:498-500. [PMID: 29242390 DOI: 10.1161/strokeaha.117.018560] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 11/20/2017] [Accepted: 11/21/2017] [Indexed: 01/19/2023]
Affiliation(s)
- Gustavo Saposnik
- From the Division of Neurology, Department of Medicine and Outcomes and Decision Neuroscience Research Unit, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, ON, Canada (G.S.); Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Switzerland (G.S.); and Department of Neurology, Helsinki University Central Hospital, Finland (D.S.).
| | - Daniel Strbian
- From the Division of Neurology, Department of Medicine and Outcomes and Decision Neuroscience Research Unit, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, ON, Canada (G.S.); Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Switzerland (G.S.); and Department of Neurology, Helsinki University Central Hospital, Finland (D.S.)
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18
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Smith AG, Rowland Hill C. Imaging assessment of acute ischaemic stroke: a review of radiological methods. Br J Radiol 2017; 91:20170573. [PMID: 29144166 DOI: 10.1259/bjr.20170573] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Acute ischaemic stroke is the second largest cause of death worldwide and a cause of major physical and psychological morbidity. Current evidence based treatment includes intravenous thrombolysis (IVT) and mechanical thrombectomy (MT), both requiring careful patient selection and to be administered as quickly as possible within a limited time window from symptom onset. Imaging plays a crucial role identifying patients who may benefit from MT or IVT whilst excluding those that may be harmed. For IVT, imaging must as a minimum exclude haemorrhage, stroke mimics and provide an estimate of non-viable brain. For MT, imaging must in addition detect and characterize intra-arterial thrombus and assess the intra and extracranial arterial architecture. More advanced imaging techniques may be used to assess more accurately the volume of non-viable and potentially salvageable brain tissue. It is highly likely that further research will identify patients who would benefit from treatment beyond currently accepted time windows for IVT (4.5 h) and MT (6 h) and patients with an unknown time of symptom onset. Current evidence indicates that best outcomes are achieved when treatment is instituted as soon as possible after symptom onset. A rapid, efficient imaging pathway including interpretation is fundamental to achieving the best outcomes. This review summarizes current techniques for imaging assessment of acute stroke, highlighting strengths and limitations of each. The optimum pathway is a balance between diagnostic information, local resources, specialization and the time taken to acquire, process and interpret the data. As new evidence emerges, it is likely that the minimum required imaging data will change.
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Abstract
Brain and vascular imaging are required components of the emergency assessment of patients with suspected stroke. Either CT or MRI may be used as the initial imaging test. MRI is more sensitive to the presence of acute and chronic ischemic lesions, and chronic microbleeds, but CT remains the most practical and used initial brain imaging test. Although, a non-enhanced CT or T2* MRI sequence showing no haemorrhage is sufficient for deciding intravenous treatment eligibility within the first 4.5h after stroke onset, a non-invasive intracranial vascular study is strongly recommended during the initial imaging evaluation of the acute stroke patient, particularly if mechanical thrombectomy is contemplated. Advanced imaging with multimodal MRI may facilitate accurate ischemic stroke diagnosis and characterization, and should be considered as an alternative to CT, especially for the selection of patients for acute reperfusion therapy in extended time windows, and in patients in which time of stroke onset is unknown. However, MRI should only be considered in the acute stroke workflow if centres are able to achieve speed and triaging efficiency similar to that which is currently available with CT-based imaging.
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20
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Wenz H, Maros ME, Meyer M, Gawlitza J, Förster A, Haubenreisser H, Kurth S, Schoenberg SO, Groden C, Henzler T. Intra-individual diagnostic image quality and organ-specific-radiation dose comparison between spiral cCT with iterative image reconstruction and z-axis automated tube current modulation and sequential cCT. Eur J Radiol Open 2016; 3:182-90. [PMID: 27504476 PMCID: PMC4969238 DOI: 10.1016/j.ejro.2016.05.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 05/31/2016] [Indexed: 11/16/2022] Open
Abstract
Superiority of spiral versus sequential cCT in image quality and organ-specific-radiation dose. Spiral cCT: lower organ-specific-radiation-dose in eye lense compared to tilted sequential cCT. State-of-the-art IR spiral cCT techniques has significant advantages over sequential cCT techniques.
Objectives To prospectively evaluate image quality and organ-specific-radiation dose of spiral cranial CT (cCT) combined with automated tube current modulation (ATCM) and iterative image reconstruction (IR) in comparison to sequential tilted cCT reconstructed with filtered back projection (FBP) without ATCM. Methods 31 patients with a previous performed tilted non-contrast enhanced sequential cCT aquisition on a 4-slice CT system with only FBP reconstruction and no ATCM were prospectively enrolled in this study for a clinical indicated cCT scan. All spiral cCT examinations were performed on a 3rd generation dual-source CT system using ATCM in z-axis direction. Images were reconstructed using both, FBP and IR (level 1–5). A Monte-Carlo-simulation-based analysis was used to compare organ-specific-radiation dose. Subjective image quality for various anatomic structures was evaluated using a 4-point Likert-scale and objective image quality was evaluated by comparing signal-to-noise ratios (SNR). Results Spiral cCT led to a significantly lower (p < 0.05) organ-specific-radiation dose in all targets including eye lense. Subjective image quality of spiral cCT datasets with an IR reconstruction level 5 was rated significantly higher compared to the sequential cCT acquisitions (p < 0.0001). Consecutive mean SNR was significantly higher in all spiral datasets (FBP, IR 1–5) when compared to sequential cCT with a mean SNR improvement of 44.77% (p < 0.0001). Conclusions Spiral cCT combined with ATCM and IR allows for significant-radiation dose reduction including a reduce eye lens organ-dose when compared to a tilted sequential cCT while improving subjective and objective image quality.
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Key Words
- ASPECTS, Alberta Stroke Program Early CT score
- ATCM, automated tube current modulation
- Automatic tube current modulation
- DSCT, dual-source computed tomography
- FBP, filtered back projection
- HU, hounsfield units
- ICRP, International Commission on Radiological Protection
- IR, iterative image reconstruction
- Iterative reconstruction
- MDCT, multi-detector computed tomography
- NC, caudate nucleus
- ND, normally distributed data
- NI, non-inferiority analysis
- Organ-specific-radiation dose
- SNR, signal-to-noise ratios
- Sequential cranial CT
- Spiral cranial CT
- WM, white matter
- cCT, cranial CT
- cCT, cranial computed tomography
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Affiliation(s)
- Holger Wenz
- Department of Neuroradiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Máté E Maros
- Department of Neuroradiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Mathias Meyer
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Joshua Gawlitza
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Alex Förster
- Department of Neuroradiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Holger Haubenreisser
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Stefan Kurth
- Department of Neuroradiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Stefan O Schoenberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Christoph Groden
- Department of Neuroradiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Thomas Henzler
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
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21
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Goyal M, Jadhav AP, Wilson AT, Nogueira RG, Menon BK. Shifting bottlenecks in acute stroke treatment. J Neurointerv Surg 2015; 8:1099-1100. [DOI: 10.1136/neurintsurg-2015-012151] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2015] [Indexed: 11/04/2022]
Affiliation(s)
- Mayank Goyal
- Department of Radiology and Clinical Neurosciences, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Ashutosh P Jadhav
- Department of Neurology and Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Alexis T Wilson
- Department of Radiology and Clinical Neurosciences, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Raul G Nogueira
- Department of Neurology, Neurosurgery and Radiology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Bijoy K Menon
- Department of Radiology and Clinical Neurosciences, Cumming School of Medicine, Calgary, Alberta, Canada
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