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Yedavalli V, Kihira S, Shahrouki P, Hamam O, Tavakkol E, McArthur M, Qiao J, Johanna F, Doshi A, Vagal A, Khatri P, Srinivasan A, Chaudhary N, Bahr-Hosseini M, Colby GP, Nour M, Jahan R, Duckwiler G, Arnold C, Saver JL, Mocco J, Liebeskind DS, Nael K. CTP-based estimated ischemic core: A comparative multicenter study between Olea and RAPID software. J Stroke Cerebrovasc Dis 2023; 32:107297. [PMID: 37738915 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107297] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND AND PURPOSE CTP is increasingly used to assess eligibility for endovascular therapy (EVT) in patients with large vessel occlusions (LVO). There remain variability and inconsistencies between software packages for estimation of ischemic core. We aimed to use heterogenous data from four stroke centers to perform a comparative analysis for CTP-estimated ischemic core between RAPID (iSchemaView) and Olea (Olea Medical). METHODS In this retrospective multicenter study, patients with anterior circulation LVO who underwent pretreatment CTP, successful EVT (defined TICI ≥ 2b), and follow-up MRI included. Automated CTP analysis was performed using Olea platform [rCBF < 25% and differential time-to-peak (dTTP)>5s] and RAPID (rCBF < 30%). The CTP estimated core volumes were compared against the final infarct volume (FIV) on post treatment MRI-DWI. RESULTS A total of 151 patients included. The CTP-estimated ischemic core volumes (mean ± SD) were 18.7 ± 18.9 mL on Olea and 10.5 ± 17.9 mL on RAPID significantly different (p < 0.01). The correlation between CTP estimated core and MRI final infarct volume was r = 0.38, p < 0.01 for RAPID and r = 0.39, p < 0.01 for Olea. Both software platforms demonstrated a strong correlation with each other (r = 0.864, p < 0.001). Both software overestimated the ischemic core volume above 70 mL in 4 patients (2.6%). CONCLUSIONS Substantial variation between Olea and RAPID CTP-estimated core volumes exists, though rates of overcalling of large core were low and identical. Both showed comparable core volume correlation to MRI infarct volume.
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Affiliation(s)
- V Yedavalli
- Johns Hopkins University School of Medicine, Baltimore, MD, United States.
| | - S Kihira
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - P Shahrouki
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - O Hamam
- Massachussetts General Hospital, Boston, MA, United States
| | - E Tavakkol
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - M McArthur
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - J Qiao
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - Fifi Johanna
- Mount Sinai School of Medicine, New York, NY, United States
| | - A Doshi
- Mount Sinai School of Medicine, New York, NY, United States
| | - A Vagal
- University of Cincinnati School of Medicine, Cincinnati, OH, United States
| | - P Khatri
- University of Cincinnati School of Medicine, Cincinnati, OH, United States
| | - A Srinivasan
- University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - N Chaudhary
- University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - M Bahr-Hosseini
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - G P Colby
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - M Nour
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - R Jahan
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - G Duckwiler
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - C Arnold
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - J L Saver
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - J Mocco
- Mount Sinai School of Medicine, New York, NY, United States
| | - D S Liebeskind
- David Geffen School of Medicine at the University of California - Los Angeles, United States
| | - K Nael
- David Geffen School of Medicine at the University of California - Los Angeles, United States
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Mahammedi A, Wang LL, Williamson BJ, Khatri P, Kissela B, Sawyer RP, Shatz R, Khandwala V, Vagal A. Small Vessel Disease, a Marker of Brain Health: What the Radiologist Needs to Know. AJNR Am J Neuroradiol 2022; 43:650-660. [PMID: 34620594 PMCID: PMC9089248 DOI: 10.3174/ajnr.a7302] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 07/05/2021] [Indexed: 11/07/2022]
Abstract
Small vessel disease, a disorder of cerebral microvessels, is an expanding epidemic and a common cause of stroke and dementia. Despite being almost ubiquitous in brain imaging, the clinicoradiologic association of small vessel disease is weak, and the underlying pathogenesis is poorly understood. The STandards for ReportIng Vascular changes on nEuroimaging (STRIVE) criteria have standardized the nomenclature. These include white matter hyperintensities of presumed vascular origin, recent small subcortical infarcts, lacunes of presumed vascular origin, prominent perivascular spaces, cerebral microbleeds, superficial siderosis, cortical microinfarcts, and brain atrophy. Recently, the rigid categories among cognitive impairment, vascular dementia, stroke, and small vessel disease have become outdated, with a greater emphasis on brain health. Conventional and advanced small vessel disease imaging markers allow a comprehensive assessment of global brain heath. In this review, we discuss the pathophysiology of small vessel disease neuroimaging nomenclature by means of the STRIVE criteria, clinical implications, the role of advanced imaging, and future directions.
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Affiliation(s)
- A Mahammedi
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - L L Wang
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - B J Williamson
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - P Khatri
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - B Kissela
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - R P Sawyer
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - R Shatz
- Neurology (P.K., B.K., R.P.S., R.S.) University of Cincinnati Medical Center, Cincinnati, Ohio
| | - V Khandwala
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
| | - A Vagal
- From the Departments of Neuroradiology (A.M., L.L.W., B.J.W., V.K., A.V.)
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Mahammedi A, Ramos A, Bargalló N, Gaskill M, Kapur S, Saba L, Carrete H, Sengupta S, Salvador E, Hilario A, Revilla Y, Sanchez M, Perez-Nuñez M, Bachir S, Zhang B, Oleaga L, Sergio J, Koren L, Martin-Medina P, Wang L, Benegas M, Ostos F, Gonzalez-Ortega G, Calleja P, Udstuen G, Williamson B, Khandwala V, Chadalavada S, Woo D, Vagal A. Brain and Lung Imaging Correlation in Patients with COVID-19: Could the Severity of Lung Disease Reflect the Prevalence of Acute Abnormalities on Neuroimaging? A Global Multicenter Observational Study. AJNR Am J Neuroradiol 2021; 42:1008-1016. [PMID: 33707278 DOI: 10.3174/ajnr.a7072] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/04/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Our aim was to study the association between abnormal findings on chest and brain imaging in patients with coronavirus disease 2019 (COVID-19) and neurologic symptoms. MATERIALS AND METHODS In this retrospective, international multicenter study, we reviewed the electronic medical records and imaging of hospitalized patients with COVID-19 from March 3, 2020, to June 25, 2020. Our inclusion criteria were patients diagnosed with Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) infection with acute neurologic manifestations and available chest CT and brain imaging. The 5 lobes of the lungs were individually scored on a scale of 0-5 (0 corresponded to no involvement and 5 corresponded to >75% involvement). A CT lung severity score was determined as the sum of lung involvement, ranging from 0 (no involvement) to 25 (maximum involvement). RESULTS A total of 135 patients met the inclusion criteria with 132 brain CT, 36 brain MR imaging, 7 MRA of the head and neck, and 135 chest CT studies. Compared with 86 (64%) patients without acute abnormal findings on neuroimaging, 49 (36%) patients with these findings had a significantly higher mean CT lung severity score (9.9 versus 5.8, P < .001). These patients were more likely to present with ischemic stroke (40 [82%] versus 11 [13%], P < .0001) and were more likely to have either ground-glass opacities or consolidation (46 [94%] versus 73 [84%], P = .01) in the lungs. A threshold of the CT lung severity score of >8 was found to be 74% sensitive and 65% specific for acute abnormal findings on neuroimaging. The neuroimaging hallmarks of these patients were acute ischemic infarct (28%), intracranial hemorrhage (10%) including microhemorrhages (19%), and leukoencephalopathy with and/or without restricted diffusion (11%). The predominant CT chest findings were peripheral ground-glass opacities with or without consolidation. CONCLUSIONS The CT lung disease severity score may be predictive of acute abnormalities on neuroimaging in patients with COVID-19 with neurologic manifestations. This can be used as a predictive tool in patient management to improve clinical outcome.
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Affiliation(s)
- A Mahammedi
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - A Ramos
- Departments of Neuroradiology (A.R., E.S., A.H., L.K., P.M.-M.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - N Bargalló
- Neurology (S.S., D.W.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - M Gaskill
- Departments of Neuroradiology (L.O., N.B.), Hospital Clínic de Barcelona, Sunyer Biomedical Research Institute, Barcelona, Spain
| | - S Kapur
- Cardiopulmonary Imaging, (S.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - L Saba
- Department of Neuroradiology (L.S.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - H Carrete
- Department of Neuroradiology (H.C.), Escola Paulista de Medicina, Federal University of São Paulo, São Paulo, Brazil
| | - S Sengupta
- Neurology (S.S., D.W.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - E Salvador
- Departments of Neuroradiology (A.R., E.S., A.H., L.K., P.M.-M.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Hilario
- Departments of Neuroradiology (A.R., E.S., A.H., L.K., P.M.-M.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Y Revilla
- Cardiopulmonary Imaging (Y.R., M.P.-N.) Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Sanchez
- Department of Neuroradiology (L.S.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - M Perez-Nuñez
- Cardiopulmonary Imaging (Y.R., M.P.-N.) Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | | | - L Oleaga
- Departments of Neuroradiology (L.O., N.B.), Hospital Clínic de Barcelona, Sunyer Biomedical Research Institute, Barcelona, Spain
| | - J Sergio
- Department of Neuroradiology (L.S.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - L Koren
- Departments of Neuroradiology (A.R., E.S., A.H., L.K., P.M.-M.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Martin-Medina
- Departments of Neuroradiology (A.R., E.S., A.H., L.K., P.M.-M.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - L Wang
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - M Benegas
- Department of Neuroradiology (L.S.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - F Ostos
- Neurology (F.O., G.G.-O., P.C.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - G Gonzalez-Ortega
- Neurology (F.O., G.G.-O., P.C.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Calleja
- Neurology (F.O., G.G.-O., P.C.), Hospital Universitario 12 de Octubre, Madrid, Spain
| | - G Udstuen
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - B Williamson
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - V Khandwala
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | | | - D Woo
- Neurology (S.S., D.W.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - A Vagal
- From the Departments of Neuroradiology, (A.M., A.V., M.G., L.W., G.U., B.W., V.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
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Vagal A, Sanelli P, Sucharew H, Alwell KA, Khoury JC, Khatri P, Woo D, Flaherty M, Kissela BM, Adeoye O, Ferioli S, De Los Rios La Rosa F, Martini S, Mackey J, Kleindorfer D. Age, Sex, and Racial Differences in Neuroimaging Use in Acute Stroke: A Population-Based Study. AJNR Am J Neuroradiol 2017; 38:1905-1910. [PMID: 28838913 DOI: 10.3174/ajnr.a5340] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 06/05/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Limited information is available regarding differences in neuroimaging use for acute stroke work-up. Our objective was to assess whether race, sex, or age differences exist in neuroimaging use and whether these differences depend on the care center type in a population-based study. MATERIALS AND METHODS Patients with stroke (ischemic and hemorrhagic) and transient ischemic attack were identified in a metropolitan, biracial population using the Greater Cincinnati/Northern Kentucky Stroke Study in 2005 and 2010. Multivariable regression was used to determine the odds of advanced imaging use (CT angiography/MR imaging/MR angiography) for race, sex, and age. RESULTS In 2005 and 2010, there were 3471 and 3431 stroke/TIA events, respectively. If one adjusted for covariates, the odds of advanced imaging were higher for younger (55 years or younger) compared with older patients, blacks compared with whites, and patients presenting to an academic center and those seen by a stroke team or neurologist. The observed association between race and advanced imaging depended on age; in the older age group, blacks had higher odds of advanced imaging compared with whites (odds ratio, 1.34; 95% CI, 1.12-1.61; P < .01), and in the younger group, the association between race and advanced imaging was not statistically significant. Age by race interaction persisted in the academic center subgroup (P < .01), but not in the nonacademic center subgroup (P = .58). No significant association was found between sex and advanced imaging. CONCLUSIONS Within a large, biracial stroke/TIA population, there is variation in the use of advanced neuroimaging by age and race, depending on the care center type.
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Affiliation(s)
- A Vagal
- From the Departments of Radiology (A.V.)
| | - P Sanelli
- Department of Radiology (P.S.), Hofstra Northwell School of Medicine, Hempstead, New York
| | - H Sucharew
- Department of Biostatistics and Epidemiology (H.S., J.C.K.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - K A Alwell
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - J C Khoury
- Department of Biostatistics and Epidemiology (H.S., J.C.K.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - P Khatri
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - D Woo
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - M Flaherty
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - B M Kissela
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | | | - S Ferioli
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - F De Los Rios La Rosa
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio.,Baptist Health Neuroscience Center (F.D.L.R.L.R.), Miami, Florida.,University of New Mexico Health Sciences Center and Department of Neurology (F.D.L.R.L.R.), Albuquerque, New Mexico
| | - S Martini
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - J Mackey
- Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis, Indiana
| | - D Kleindorfer
- Neurology (K.A.A., P.K., D.W., M.F., B.M.K., S.F., F.D.L.R.L.R., S.M., D.K.), University of Cincinnati Medical Center, Cincinnati, Ohio
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Brown I, Busby L, Dowd C, Salamon N, Romero J, Vagal A, Mutch C, Cooke D, Hetts S, Dillon W, Rehani B. Making imaging around the world better: global survey of radiologists in
10 Countries. Ann Glob Health 2016. [DOI: 10.1016/j.aogh.2016.04.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Vagal A, Foster LD, Menon B, Livorine A, Shi J, Qazi E, Yeatts SD, Demchuk AM, Hill MD, Tomsick TA, Goyal M. Multimodal CT Imaging: Time to Treatment and Outcomes in the IMS III Trial. AJNR Am J Neuroradiol 2016; 37:1393-8. [PMID: 26988811 DOI: 10.3174/ajnr.a4751] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 01/22/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The importance of time in acute stroke is well-established. Using the Interventional Management of Stroke III trial data, we explored the effect of multimodal imaging (CT perfusion and/or CT angiography) versus noncontrast CT alone on time to treatment and outcomes. MATERIALS AND METHODS We examined 3 groups: 1) subjects with baseline CTP and CTA (CTP+CTA), 2) subjects with baseline CTA without CTP (CTA), and 3) subjects with noncontrast head CT alone. The demographics, treatment time intervals, and clinical outcomes in these groups were studied. RESULTS Of 656 subjects enrolled in the Interventional Management of Stroke III trial, 90 (13.7%) received CTP and CTA, 216 (32.9%) received CTA (without CTP), and 342 (52.1%) received NCCT alone. Median times for the CTP+CTA, CTA, and NCCT groups were as follows: stroke onset to IV tPA (120.5 versus 117.5 versus 120 minutes; P = .5762), IV tPA to groin puncture (77.5 versus 81 versus 91 minutes; P = .0043), groin puncture to endovascular therapy start (30 versus 38 versus 44 minutes; P = .0001), and endovascular therapy start to end (63 versus 46 versus 74 minutes; P < .0001). Compared with NCCT, the CTA group had better outcomes in the endovascular arm (OR, 2.12; 95% CI, 1.36-3.31; adjusted for age, NIHSS score, and time from onset to IV tPA). The CTP+CTA group did not have better outcomes compared with the NCCT group. CONCLUSIONS Use of CTA with or without CTP did not delay IV tPA or endovascular therapy compared with NCCT in the Interventional Management of Stroke III trial.
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Affiliation(s)
- A Vagal
- From the Department of Radiology (A.V., A.L., J.S., T.A.T.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - L D Foster
- Department of Public Health Sciences (L.D.F., S.D.Y.), Medical University of South Carolina, Charleston, South Carolina
| | - B Menon
- Radiology (B.M, E.Q., M.G.), University of Calgary, Calgary Alberta, Canada
| | - A Livorine
- From the Department of Radiology (A.V., A.L., J.S., T.A.T.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - J Shi
- From the Department of Radiology (A.V., A.L., J.S., T.A.T.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - E Qazi
- Radiology (B.M, E.Q., M.G.), University of Calgary, Calgary Alberta, Canada
| | - S D Yeatts
- Department of Public Health Sciences (L.D.F., S.D.Y.), Medical University of South Carolina, Charleston, South Carolina
| | | | - M D Hill
- Departments of Neurology (A.M.D., M.D.H.)
| | - T A Tomsick
- From the Department of Radiology (A.V., A.L., J.S., T.A.T.), University of Cincinnati Medical Center, Cincinnati, Ohio
| | - M Goyal
- Radiology (B.M, E.Q., M.G.), University of Calgary, Calgary Alberta, Canada
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Guarnaschelli J, Vagal A, Breneman J, Warnick R, Mcpherson C, Barrett W, Lamba M. Prospective Trial Evaluating Difference in Radiation Target Volume on 3T Versus 1.5T MR for Patients With Malignant Gliomas. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Von Fischer N, Eng HY, Vagal A. Early Diffusion-Weighted Imaging Findings in Hypoxic-Anoxic Injury. Neuroradiol J 2012; 25:22-9. [DOI: 10.1177/197140091202500103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2011] [Accepted: 11/02/2011] [Indexed: 11/16/2022] Open
Abstract
Anoxic brain injury can lead to death or permanent neurological defects involving memory, personality, vision, and language. It is well established that magnetic resonance imaging (MRI), specifically diffusion-weighted imaging (DWI), allows for earlier and more accurate diagnosis than computed tomography for this type of insult. Here we describe three cases of diffuse cerebral anoxia in which conventional MRI in the early subacute phase demonstrated near normal findings and abnormalities were most evident on DWI and apparent diffusion coefficient maps. The cases presented are unique and instructive as these abnormalities could be mistakenly interpreted as normal due to their uniform and symmetric appearance.
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Affiliation(s)
- N. Von Fischer
- Department of Radiology, University Hospital, University of Cincinnati; Cincinnati, Ohio, USA
| | - H. Yee Eng
- Department of Radiology, University Hospital, University of Cincinnati; Cincinnati, Ohio, USA
| | - A. Vagal
- Department of Radiology, University Hospital, University of Cincinnati; Cincinnati, Ohio, USA
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Thangasamy SJ, Vagal A, Radhakrishnan R. Remote cerebellar hemorrhage as an unusual complication of supratentorial surgery. A case report and literature review. Neuroradiol J 2011; 24:779-82. [PMID: 24059776 DOI: 10.1177/197140091102400518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2010] [Accepted: 01/17/2011] [Indexed: 11/17/2022] Open
Abstract
Remote cerebellar hemorrhage as a complication of supratentorial surgery is a rare entity in radiology literature, but not infrequently encountered in neurosurgical literature. Typical appearance and location in the posterior fossa, and remote site from the original surgical site, make the diagnosis easier if one aware of such a self-limiting condition. Diagnosis of this condition helps to differentiate it from other ominous causes of hemorrhage. In our institution, we came across such cases within a short period of time and present them as case reports along with review of the literature on this unusual complication.
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Affiliation(s)
- S J Thangasamy
- Department of Radiology, University Hospital Cincinnati; Cincinnati, Ohio, USA - ,
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Strub WM, Leach JL, Tomsick T, Vagal A. Overnight preliminary head CT interpretations provided by residents: locations of misidentified intracranial hemorrhage. AJNR Am J Neuroradiol 2007; 28:1679-82. [PMID: 17885236 PMCID: PMC8134182 DOI: 10.3174/ajnr.a0653] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Our aim was to determine the patterns of error of radiology residents in the detection of intracranial hemorrhage on head CT examinations while on call. Follow-up studies were reviewed to determine if there was any adverse effect on patient outcome as a result of these preliminary interpretations. MATERIALS AND METHODS Radiology residents prospectively interpreted 22,590 head CT examinations while on call from January 1, 2002, to July 31, 2006. The following morning, the studies were interpreted by staff neuroradiologists, and discrepancies from the preliminary report were documented. Patients' charts were reviewed for clinical outcomes and any imaging follow-up. RESULTS There were a total of 1037 discrepancies identified, of which 141 were due to intracranial hemorrhage. The most common types of intracranial hemorrhage that were missed were subdural and subarachnoid hemorrhage occurring in 39% and 33% of the cases, respectively. The most common location for missed subdural hemorrhage was either parafalcine or frontal. The most common location of missed subarachnoid hemorrhage was in the interpeduncular cistern. There was 1 case of nontraumatic subarachnoid hemorrhage that was not described in the preliminary report. Fourteen patients were brought back to the emergency department for short-term follow-up imaging after being discharged. We did not observe any adverse clinical outcomes that resulted from a discrepant reading. CONCLUSION Discrepancies due to intracranial hemorrhage are usually the result of subdural or subarachnoid hemorrhage. A more complete understanding of the locations of the missed hemorrhage can hopefully help decrease the discrepancy rate to help improve patient care.
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Affiliation(s)
- W M Strub
- Department of Radiology, University of Cincinnati, Cincinnati, Ohio 45267, USA.
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