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Nukovic JJ, Opancina V, Ciceri E, Muto M, Zdravkovic N, Altin A, Altaysoy P, Kastelic R, Velazquez Mendivil DM, Nukovic JA, Markovic NV, Opancina M, Prodanovic T, Nukovic M, Kostic J, Prodanovic N. Neuroimaging Modalities Used for Ischemic Stroke Diagnosis and Monitoring. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1908. [PMID: 38003957 PMCID: PMC10673396 DOI: 10.3390/medicina59111908] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/16/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023]
Abstract
Strokes are one of the global leading causes of physical or mental impairment and fatality, classified into hemorrhagic and ischemic strokes. Ischemic strokes happen when a thrombus blocks or plugs an artery and interrupts or reduces blood supply to the brain tissue. Deciding on the imaging modality which will be used for stroke detection depends on the expertise and availability of staff and the infrastructure of hospitals. Magnetic resonance imaging provides valuable information, and its sensitivity for smaller infarcts is greater, while computed tomography is more extensively used, since it can promptly exclude acute cerebral hemorrhages and is more favorable speed-wise. The aim of this article was to give information about the neuroimaging modalities used for the diagnosis and monitoring of ischemic strokes. We reviewed the available literature and presented the use of computed tomography, CT angiography, CT perfusion, magnetic resonance imaging, MR angiography and MR perfusion for the detection of ischemic strokes and their monitoring in different phases of stroke development.
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Affiliation(s)
- Jasmin J. Nukovic
- Faculty of Pharmacy and Health Travnik, University of Travnik, 72270 Travnik, Bosnia and Herzegovina
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Valentina Opancina
- Department of Radiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- Diagnostic Imaging and Interventional Neuroradiology Unit, Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
- Diagnostic and Interventional Neuroradiology Unit, A.O.R.N. Cardarelli, 80131 Naples, Italy
| | - Elisa Ciceri
- Diagnostic Imaging and Interventional Neuroradiology Unit, Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Mario Muto
- Diagnostic and Interventional Neuroradiology Unit, A.O.R.N. Cardarelli, 80131 Naples, Italy
| | - Nebojsa Zdravkovic
- Department of Biomedical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Ahmet Altin
- Faculty of Medicine, Dokuz Eylul University, Izmir 35340, Turkey
| | - Pelin Altaysoy
- Faculty of Medicine, Bahcesehir University, Istanbul 34349, Turkey
| | - Rebeka Kastelic
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | | | - Jusuf A. Nukovic
- Faculty of Pharmacy and Health Travnik, University of Travnik, 72270 Travnik, Bosnia and Herzegovina
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Nenad V. Markovic
- Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Miljan Opancina
- Department of Biomedical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- Military Medical Academy, Faculty of Medicine, University of Defense, 11000 Belgrade, Serbia
| | - Tijana Prodanovic
- Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Merisa Nukovic
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Jelena Kostic
- Department of Radiology, Medical Faculty, University of Belgrade, 11120 Beograd, Serbia
| | - Nikola Prodanovic
- Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
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2
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Fully automatic identification of post-treatment infarct lesions after endovascular therapy based on non-contrast computed tomography. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-08094-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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3
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Grøan M, Ospel J, Ajmi S, Sandset EC, Kurz MW, Skjelland M, Advani R. Time-Based Decision Making for Reperfusion in Acute Ischemic Stroke. Front Neurol 2021; 12:728012. [PMID: 34790159 PMCID: PMC8591257 DOI: 10.3389/fneur.2021.728012] [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: 06/20/2021] [Accepted: 09/16/2021] [Indexed: 11/13/2022] Open
Abstract
Decision making in the extended time windows for acute ischemic stroke can be a complex and time-consuming process. The process of making the clinical decision to treat has been compounded by the availability of different imaging modalities. In the setting of acute ischemic stroke, time is of the essence and chances of a good outcome diminish by each passing minute. Navigating the plethora of advanced imaging modalities means that treatment in some cases can be inefficaciously delayed. Time delays and individually based non-programmed decision making can prove challenging for clinicians. Visual aids can assist such decision making aimed at simplifying the use of advanced imaging. Flow charts are one such visual tool that can expedite treatment in this setting. A systematic review of existing literature around imaging modalities based on site of occlusion and time from onset can be used to aid decision making; a more program-based thought process. The use of an acute reperfusion flow chart helping navigate the myriad of imaging modalities can aid the effective treatment of patients.
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Affiliation(s)
- Mathias Grøan
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Johanna Ospel
- Department of Radiology, Basel University Hospital, Basel, Switzerland.,Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Soffien Ajmi
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,University of Stavanger, Stavanger, Norway
| | - Else Charlotte Sandset
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway.,Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Martin W Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Neuroscience Research Group, Stavanger University Hospital, Stavanger, Norway
| | - Mona Skjelland
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rajiv Advani
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway.,Neuroscience Research Group, Stavanger University Hospital, Stavanger, Norway
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Impact of dose reduction and iterative model reconstruction on multi-detector CT imaging of the brain in patients with suspected ischemic stroke. Sci Rep 2021; 11:22271. [PMID: 34782654 PMCID: PMC8593148 DOI: 10.1038/s41598-021-01162-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 10/25/2021] [Indexed: 01/05/2023] Open
Abstract
Non-contrast cerebral computed tomography (CT) is frequently performed as a first-line diagnostic approach in patients with suspected ischemic stroke. The purpose of this study was to evaluate the performance of hybrid and model-based iterative image reconstruction for standard-dose (SD) and low-dose (LD) non-contrast cerebral imaging by multi-detector CT (MDCT). We retrospectively analyzed 131 patients with suspected ischemic stroke (mean age: 74.2 ± 14.3 years, 67 females) who underwent initial MDCT with a SD protocol (300 mAs) as well as follow-up MDCT after a maximum of 10 days with a LD protocol (200 mAs). Ischemic demarcation was detected in 26 patients for initial and in 64 patients for follow-up imaging, with diffusion-weighted magnetic resonance imaging (MRI) confirming ischemia in all of those patients. The non-contrast cerebral MDCT images were reconstructed using hybrid (Philips “iDose4”) and model-based iterative (Philips “IMR3”) reconstruction algorithms. Two readers assessed overall image quality, anatomic detail, differentiation of gray matter (GM)/white matter (WM), and conspicuity of ischemic demarcation, if any. Quantitative assessment included signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) calculations for WM, GM, and demarcated areas. Ischemic demarcation was detected in all MDCT images of affected patients by both readers, irrespective of the reconstruction method used. For LD imaging, anatomic detail and GM/WM differentiation was significantly better when using the model-based iterative compared to the hybrid reconstruction method. Furthermore, CNR of GM/WM as well as the SNR of WM and GM of healthy brain tissue were significantly higher for LD images with model-based iterative reconstruction when compared to SD or LD images reconstructed with the hybrid algorithm. For patients with ischemic demarcation, there was a significant difference between images using hybrid versus model-based iterative reconstruction for CNR of ischemic/contralateral unaffected areas (mean ± standard deviation: SD_IMR: 4.4 ± 3.1, SD_iDose: 3.5 ± 2.3, P < 0.0001; LD_IMR: 4.6 ± 2.9, LD_iDose: 3.2 ± 2.1, P < 0.0001). In conclusion, model-based iterative reconstruction provides higher CNR and SNR without significant loss of image quality for non-enhanced cerebral MDCT.
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McDonough R, Ospel J, Goyal M. State of the Art Stroke Imaging: A Current Perspective. Can Assoc Radiol J 2021; 73:371-383. [PMID: 34569306 DOI: 10.1177/08465371211028823] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Acute stroke is a widespread, debilitating disease. Fortunately, it also has one of the most effective therapeutic options available in medicine, endovascular treatment. Imaging plays a major role in the diagnosis of stroke and aids in appropriate therapy selection. Given the rapid accumulation of evidence for patient subgroups and concurrent broadening of therapeutic options and indications, it is important to recognize the benefits of certain imaging technologies for specific situations. An effective imaging protocol should: 1) be fast, 2) easily implementable, 3) produce reliable results, 4) have few contraindications, and 5) be safe, all with the goal of providing the patient the best chance of achieving a favorable outcome. In the following, we provide a review of the currently available imaging technologies, their advantages and disadvantages, as well as an overview of the future of stroke imaging. Finally, we offer a perspective.
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Affiliation(s)
- Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Diagnostic Imaging, Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada
| | - Johanna Ospel
- Division of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Mayank Goyal
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Clinical Neurosciences, Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada
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Ning M, Chen F, Zheng H, Wu X, Fu Z, Zhou J, Bei N. Use of Head and Neck Magnetic Resonance Angiography to Explore Neurological Function Recovery and Impact of Rehabilitation Nursing on Patients with Acute Stroke. World Neurosurg 2021; 149:470-480. [PMID: 33940698 DOI: 10.1016/j.wneu.2020.11.116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To analyze neurological function recovery and the impact of rehabilitation nursing in patients with cerebral stroke after treatment to aid clinical diagnosis and treatment of cerebral stroke. METHODS The study comprised 140 patients who were hospitalized in the neurology department for magnetic resonance angiography examination. Patients were divided into a treatment group (70 patients) and a control group (70 patients) based on treatment plan. Digital subtraction angiography was regarded as the gold standard diagnostic examination. In patients in both groups, magnetic resonance angiography features of the M1 segment of the middle cerebral artery and diagnostic specificity and sensitivity were recorded. An activities of daily living score was used to assess neurological function of patients before and after rehabilitation. RESULTS The activities of daily living scores of patients in both groups increased significantly after treatment (P < 0.05); the scores of patients in the treatment group increased more significantly (P < 0.05). The total effective rate was 89% in the treatment group and 60% in the control group. The difference between the 2 groups was statistically significant (P < 0.05). After treatment, the degree of M1 segment stenosis in both groups was better than before treatment, and the number of collateral circulation branches was increased; the improvements in the treatment group were more significant (P < 0.05). CONCLUSIONS Rehabilitation nursing could greatly improve the stenosis of blood vessels in patients with acute cerebral stroke and promote the establishment of collateral circulation, thereby effectively enhancing the recovery of neurological function and strengthening the ability of patients to perform activities of daily living.
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Affiliation(s)
- Min Ning
- Department of Cardiopulmonary Rehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Fang Chen
- Department of Neurorehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Haihua Zheng
- Department of Nursing, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Xiaotan Wu
- Department of Pain Rehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Ziyun Fu
- Department of Cardiopulmonary Rehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Jihua Zhou
- Department of Cardiopulmonary Rehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China
| | - Ning Bei
- Department of Neurorehabilitation, Cadre Sanatorium of Hainan & Geriatric Hospital of Hainan, Haikou, Hainan, China.
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Zameer S, Siddiqui AS, Riaz R. Multimodality Imaging in Acute Ischemic Stroke. Curr Med Imaging 2021; 17:567-577. [PMID: 33256582 DOI: 10.2174/1573405616666201130094948] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 09/22/2020] [Accepted: 10/14/2020] [Indexed: 11/22/2022]
Abstract
Stroke is the most common cause of mortality and morbidity worldwide. The prognosis of stroke depends upon the area affected and its early treatment. Time is of the essence in the care of stroke patients as it is estimated that approximately 1.9 million neurons, 14 billion synapses, and 12 km myelinated nerve fibers are lost per minute. Therefore, early diagnosis and prompt treatment are necessary. The primary goal of imaging in acute stroke is to diagnose the underlying cause, estimate the area affected, predict response towards thrombolytic therapy and to exclude the conditions mimicking stroke. With advancements in radiology, multiple imaging modalities are available for diagnosis and predicting prognosis. None of them is considered alone to be perfect. In this era of multimodality imaging, the decision of choosing appropriate techniques depends upon purpose and availability. Non-Contrast Computed Tomography is time effective, and helps in excluding other causes, Trans Cranial Doppler is time-effective and cost-effective with wide availability, however, is operator dependent and less sensitive. It holds a great future in sonothrombolysis. Magnetic Resonance Imaging is so far considered to be the most superior one in terms of early diagnosis, planning for interventional treatment and predicting the response of treatment. However, it is limited due to high cost and lack of availability. The current review gives a detailed account of all imaging modalities available for imaging stroke and their associated pros and cons.
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Affiliation(s)
- Shahla Zameer
- Department of Radiology, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
| | | | - Ramish Riaz
- Department of Radiology, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
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Ospel JM, Holodinsky JK, Goyal M. Management of Acute Ischemic Stroke Due to Large-Vessel Occlusion. J Am Coll Cardiol 2020; 75:1832-1843. [DOI: 10.1016/j.jacc.2019.10.034] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/20/2019] [Accepted: 10/23/2019] [Indexed: 02/04/2023]
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Tube Current Reduction in CT Angiography: How Low Can We Go in Imaging of Patients With Suspected Acute Stroke? AJR Am J Roentgenol 2019; 213:410-416. [DOI: 10.2214/ajr.18.20954] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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10
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Bagoly Z, Szegedi I, Kálmándi R, Tóth NK, Csiba L. Markers of Coagulation and Fibrinolysis Predicting the Outcome of Acute Ischemic Stroke Thrombolysis Treatment: A Review of the Literature. Front Neurol 2019; 10:513. [PMID: 31316444 PMCID: PMC6611415 DOI: 10.3389/fneur.2019.00513] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 04/30/2019] [Indexed: 12/16/2022] Open
Abstract
Intravenous administration of recombinant tissue plasminogen activator (rt-PA) has been proven to be safe and effective in the treatment of acute ischemic stroke. Little is known, however, why this treatment is less effective in some patients while in others life-threatening side-effects, e.g., symptomatic intracerebral hemorrhage might occur. Clinical failure of thrombolysis related to absent or partial recanalization or reocclusion as well as hemorrhagic complications of thrombolysis are possibly related to hemostatic events. Data on markers of coagulation and/or fibrinolysis in acute stroke patients are numerous and may provide indications regarding therapy outcomes. Better understanding of the hemostatic and fibrinolytic system during rt-PA therapy might be clinically useful and ultimately might lead to an improvement in the efficacy or safety of this treatment. Studies on thrombus composition retrieved from cerebral arteries may also advance our knowledge and provide a key to improve acute stroke therapy. Here we provide a comprehensive review on a wide range of factors and markers of coagulation and fibrinolysis that have been studied in the context of thrombolysis outcome in ischemic stroke patients. Moreover, a brief summary is given on the most recent research on thrombus composition having a potential influence on outcomes.
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Affiliation(s)
- Zsuzsa Bagoly
- Division of Clinical Laboratory Sciences, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.,MTA-DE Cerebrovascular and Neurodegenerative Research Group, University of Debrecen, Debrecen, Hungary
| | - István Szegedi
- Department of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary
| | - Rita Kálmándi
- Division of Clinical Laboratory Sciences, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Noémi Klára Tóth
- Division of Clinical Laboratory Sciences, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - László Csiba
- MTA-DE Cerebrovascular and Neurodegenerative Research Group, University of Debrecen, Debrecen, Hungary.,Department of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary
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Stroke and Its Imaging Evaluation. Emerg Radiol 2018. [DOI: 10.1007/978-3-319-65397-6_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Topical issue: multimodality imaging in atherosclerosis. Int J Cardiovasc Imaging 2015; 32:1-3. [PMID: 26438168 DOI: 10.1007/s10554-015-0774-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 09/19/2015] [Indexed: 10/23/2022]
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