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Almallouhi E, Al Kasab S, Hubbard Z, Bass EC, Porto G, Alawieh A, Chalhoub R, Jabbour PM, Starke RM, Wolfe SQ, Arthur AS, Samaniego E, Maier I, Howard BM, Rai A, Park MS, Mascitelli J, Psychogios M, De Leacy R, Dumont T, Levitt MR, Polifka A, Osbun J, Crosa R, Kim JT, Casagrande W, Yoshimura S, Matouk C, Kan PT, Williamson RW, Gory B, Mokin M, Fragata I, Zaidat O, Yoo AJ, Spiotta AM. Outcomes of Mechanical Thrombectomy for Patients With Stroke Presenting With Low Alberta Stroke Program Early Computed Tomography Score in the Early and Extended Window. JAMA Netw Open 2021; 4:e2137708. [PMID: 34878550 PMCID: PMC8655598 DOI: 10.1001/jamanetworkopen.2021.37708] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
IMPORTANCE Limited data are available about the outcomes of mechanical thrombectomy (MT) for real-world patients with stroke presenting with a large core infarct. OBJECTIVE To investigate the safety and effectiveness of MT for patients with large vessel occlusion and an Alberta Stroke Program Early Computed Tomography Score (ASPECTS) of 2 to 5. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used data from the Stroke Thrombectomy and Aneurysm Registry (STAR), which combines the prospectively maintained databases of 28 thrombectomy-capable stroke centers in the US, Europe, and Asia. The study included 2345 patients presenting with an occlusion in the internal carotid artery or M1 segment of the middle cerebral artery from January 1, 2016, to December 31, 2020. Patients were followed up for 90 days after intervention. The ASPECTS is a 10-point scoring system based on the extent of early ischemic changes on the baseline noncontrasted computed tomography scan, with a score of 10 indicating normal and a score of 0 indicating ischemic changes in all of the regions included in the score. EXPOSURE All patients underwent MT in one of the included centers. MAIN OUTCOMES AND MEASURES A multivariable regression model was used to assess factors associated with a favorable 90-day outcome (modified Rankin Scale score of 0-2), including interaction terms between an ASPECTS of 2 to 5 and receiving MT in the extended window (6-24 hours from symptom onset). RESULTS A total of 2345 patients who underwent MT were included (1175 women [50.1%]; median age, 72 years [IQR, 60-80 years]; 2132 patients [90.9%] had an ASPECTS of ≥6, and 213 patients [9.1%] had an ASPECTS of 2-5). At 90 days, 47 of the 213 patients (22.1%) with an ASPECTS of 2 to 5 had a modified Rankin Scale score of 0 to 2 (25.6% [45 of 176] of patients who underwent successful recanalization [modified Thrombolysis in Cerebral Ischemia score ≥2B] vs 5.4% [2 of 37] of patients who underwent unsuccessful recanalization; P = .007). Having a low ASPECTS (odds ratio, 0.60; 95% CI, 0.38-0.85; P = .002) and presenting in the extended window (odds ratio, 0.69; 95% CI, 0.55-0.88; P = .001) were associated with worse 90-day outcome after controlling for potential confounders, without significant interaction between these 2 factors (P = .64). CONCLUSIONS AND RELEVANCE In this cohort study, more than 1 in 5 patients presenting with an ASPECTS of 2 to 5 achieved 90-day functional independence after MT. A favorable outcome was nearly 5 times more likely for patients with low ASPECTS who had successful recanalization. The association of a low ASPECTS with 90-day outcomes did not differ for patients presenting in the early vs extended MT window.
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Affiliation(s)
- Eyad Almallouhi
- Department of Neurosurgery, Medical University of South Carolina, Charleston
- Department of Neurology, Medical University of South Carolina, Charleston
| | - Sami Al Kasab
- Department of Neurosurgery, Medical University of South Carolina, Charleston
- Department of Neurology, Medical University of South Carolina, Charleston
| | - Zachary Hubbard
- Department of Neurosurgery, Medical University of South Carolina, Charleston
| | - Eric C. Bass
- Department of Radiology, Medical University of South Carolina, Charleston
| | - Guilherme Porto
- Department of Neurosurgery, Medical University of South Carolina, Charleston
| | - Ali Alawieh
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Reda Chalhoub
- Department of Neurosurgery, Medical University of South Carolina, Charleston
| | - Pascal M. Jabbour
- Department of Neurosurgery, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania
| | - Robert M. Starke
- Department of Neurosurgery, University of Miami Health System, Miami, Florida
| | - Stacey Q. Wolfe
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Adam S. Arthur
- Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Clinic, University of Tennessee Health Science Center, Memphis
| | - Edgar Samaniego
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City
| | - Ilko Maier
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Brian M. Howard
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Ansaar Rai
- Department of Radiology, West Virginia School of Medicine, Morgantown
| | - Min S. Park
- Department of Neurosurgery, University of Virginia, Charlottesville
| | - Justin Mascitelli
- Department of Neurosurgery, University of Texas Health Science Center at San Antonio, San Antonio
| | | | - Reade De Leacy
- Department of Neurosurgery, Mount Sinai Health System, New York, New York
| | - Travis Dumont
- Department of Neurosurgery, University of Arizona, Tuscon
| | | | - Adam Polifka
- Department of Neurosurgery, University of Florida, Gainesville
| | - Joshua Osbun
- Department of Neurological Surgery, Washington University, St Louis, Missouri
| | - Roberto Crosa
- Department of Neurosurgery, Endovascular Neurological Center, Montevideo, Uruguay
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Korea
| | - Walter Casagrande
- Department of Cerebrovascular and Endovascular Neurosurgery, Hospital Juan Fernandez, Buenos Aires, Argentina
| | - Shinichi Yoshimura
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Charles Matouk
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Peter T Kan
- Department of Neurosurgery, University of Texas Medical Branch, Galveston
| | | | - Benjamin Gory
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Régional Universitaire de Nancy, Nancy, France
| | - Maxim Mokin
- Department of Neurosurgery, University of South Florida, Tampa
| | - Isabel Fragata
- Neuroradiology Department, Hospital São José Centro Hospitalar, Lisboa, Portugal
| | - Osama Zaidat
- Neuroscience Department, Bon Secours Mercy Health St Vincent Medical Center, Toledo, Ohio
| | - Albert J. Yoo
- Department of Radiology, Texas Stroke Institute, Dallas–Fort Worth
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Abstract
Ischemic stroke, which is caused by a sudden clot in the blood vessels, may cause severe brain tissue damage and has become a leading cause of death globally. Currently, thrombolysis is the gold standard primary treatment of ischemic stroke in clinics. However, the short therapeutic window of opportunity limits thrombolysis utility. Secondary cerebral damage caused by stroke is also an urgent problem. In this review, we discuss the present methods of treating ischemic stroke in clinics and their limitations. Various new drug delivery strategies targeting ischemic stroke lesions have also been summarized, including pharmaceutical methods, diagnostic approaches and other routes. These strategies could change the pharmacokinetic behavior, improve targeted delivery or minimize side effects. A better understanding of the novel approaches utilized to facilitate drug delivery in ischemic stroke would improve outcomes.
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Affiliation(s)
- Qiong Wu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Rong Yan
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Jingjing Sun
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
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JOURNAL CLUB: Evaluation of Diffusion Kurtosis Imaging of Stroke Lesion With Hemodynamic and Metabolic MRI in a Rodent Model of Acute Stroke. AJR Am J Roentgenol 2018; 210:720-727. [PMID: 29470156 DOI: 10.2214/ajr.17.19134] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Diffusion kurtosis imaging (DKI) has emerged as a new acute stroke imaging approach, augmenting routine DWI. Although it has been shown that a diffusion lesion without kurtosis abnormality is more likely to recover after reperfusion, whereas a kurtosis lesion shows poor response, little is known about the underlying pathophysiologic profile of the kurtosis lesion versus the kurtosis lesion-diffusion lesion mismatch. MATERIALS AND METHODS We performed multiparametric MRI, including arterial spin labeling, pH-sensitive amide proton transfer, and DKI, in a rodent model of acute stroke caused by embolic middle cerebral artery occlusion. Diffusion and kurtosis lesions were semiautomatically segmented, and multiparametric MRI indexes were compared among the kurtosis lesion, diffusion lesion, kurtosis lesion-diffusion lesion mismatch, and the contralateral normal tissue area. RESULTS We confirmed a significant difference between diffusion lesion and kurtosis lesion volumes (mean [± SD] volume, 151 ± 65 vs 125 ± 47 mm3; p < 0.05). Although ischemic lesions have significantly reduced cerebral blood flow compared with contralateral normal tissue, we did not find a significant difference in cerebral blood flow between the kurtosis lesion and the kurtosis lesion-diffusion lesion mismatch (mean cerebral blood flow, 0.53 ± 0.10 vs 0.47 ± 0.14 mL/g of tissue per minute; p > 0.05). Of importance, the pH of the kurtosis lesion was significantly lower than that of the lesion mismatch (mean pH, 6.81 ± 0.08 vs 6.89 ± 0.09; p < 0.01). CONCLUSION The present study confirms that DKI provides an expedient approach for refining the heterogeneous DWI lesion that is associated with graded metabolic derangement, which is promising for improving the infarction core definition and ultimately helping to guide stroke treatment.
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Ludewig P, Gdaniec N, Sedlacik J, Forkert ND, Szwargulski P, Graeser M, Adam G, Kaul MG, Krishnan KM, Ferguson RM, Khandhar AP, Walczak P, Fiehler J, Thomalla G, Gerloff C, Knopp T, Magnus T. Magnetic Particle Imaging for Real-Time Perfusion Imaging in Acute Stroke. ACS NANO 2017; 11:10480-10488. [PMID: 28976180 DOI: 10.1021/acsnano.7b05784] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The fast and accurate assessment of cerebral perfusion is fundamental for the diagnosis and successful treatment of stroke patients. Magnetic particle imaging (MPI) is a new radiation-free tomographic imaging method with a superior temporal resolution, compared to other conventional imaging methods. In addition, MPI scanners can be built as prehospital mobile devices, which require less complex infrastructure than computed tomography (CT) and magnetic resonance imaging (MRI). With these advantages, MPI could accelerate the stroke diagnosis and treatment, thereby improving outcomes. Our objective was to investigate the capabilities of MPI to detect perfusion deficits in a murine model of ischemic stroke. Cerebral ischemia was induced by inserting of a microfilament in the internal carotid artery in C57BL/6 mice, thereby blocking the blood flow into the medial cerebral artery. After the injection of a contrast agent (superparamagnetic iron oxide nanoparticles) specifically tailored for MPI, cerebral perfusion and vascular anatomy were assessed by the MPI scanner within seconds. To validate and compare our MPI data, we performed perfusion imaging with a small animal MRI scanner. MPI detected the perfusion deficits in the ischemic brain, which were comparable to those with MRI but in real-time. For the first time, we showed that MPI could be used as a diagnostic tool for relevant diseases in vivo, such as an ischemic stroke. Due to its shorter image acquisition times and increased temporal resolution compared to that of MRI or CT, we expect that MPI offers the potential to improve stroke imaging and treatment.
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Affiliation(s)
| | - Nadine Gdaniec
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | | | - Nils D Forkert
- Department of Radiology and Hotchkiss Brain Institute, University of Calgary , Calgary, AB T2N 1N4, Canada
| | - Patryk Szwargulski
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | - Matthias Graeser
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | | | | | - Kannan M Krishnan
- LodeSpin Laboratories LLC , Seattle, Washington 98103, United States
- Materials Science and Engineering Department, University of Washington , Seattle, Washington 98195, United States
| | | | - Amit P Khandhar
- LodeSpin Laboratories LLC , Seattle, Washington 98103, United States
| | - Piotr Walczak
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, Maryland 21205, United States
- Department of Neurology and Neurosurgery, University of Warmia and Mazury , Olsztyn, Poland
| | | | | | | | - Tobias Knopp
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
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