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Ishii D, Maeda Y, Kuwabara M, Hosogai M, Kume S, Hara T, Kondo H, Horie N. Pulsatility index of superficial temporal artery was associated with cerebral infarction after direct bypass surgery for moyamoya disease. J Stroke Cerebrovasc Dis 2023; 32:107346. [PMID: 37708702 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107346] [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: 08/21/2023] [Revised: 09/03/2023] [Accepted: 09/06/2023] [Indexed: 09/16/2023] Open
Abstract
OBJECTIVE Direct bypass surgery by superficial temporal artery (STA) - middle cerebral artery anastomosis is an established procedure for moyamoya disease (MMD). However, some patients may develop cerebral infarction (CI) due to the watershed shift phenomenon after the surgery. This study sought to investigate the correlation between the postoperative changes of STA flow as well as cerebral blood flow (CBF) and the incidence of CI after direct bypass surgery for MMD. METHODS We conducted a retrospective study of 62 hemispheres in 50 subjects who underwent direct bypass surgery for MMD. All subjects underwent pre- and post-operative MR imaging, ultrasound evaluation of STA, and single-photon emission computed tomography. The presence of CI was correlated with preoperative CBF, the delta difference of each value of the STA between before and after the surgery, and the postoperative increase ratio of CBF. RESULTS All bypass procedures were patent, and CI was observed in 4 cases (6.4%). There was no significant association between the incidence of CI and both pre- and post-operative CBF. However, there was a significant difference in delta pulsatility index (PI) of the STA between cases with or without CI (-0.38±0.22 and -0.87±0.63, respectively, p=0.03). Whereas, other factors did not show any significant differences between those with or without CI. CONCLUSIONS A relatively high postoperative PI of the STA was significantly associated with the incidence of CI after direct bypass surgery for MMD. A larger study is needed to confirm these findings.
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Affiliation(s)
- Daizo Ishii
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
| | - Yuyo Maeda
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masashi Kuwabara
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masahiro Hosogai
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Shinji Kume
- Department of Clinical Laboratory, Hiroshima University Hospital, Hiroshima, Japan
| | - Takeshi Hara
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hiroshi Kondo
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Nobutaka Horie
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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2
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Thirugnanachandran T, Aitchison SG, Lim A, Ding C, Ma H, Phan T. Assessing the diagnostic accuracy of CT perfusion: a systematic review. Front Neurol 2023; 14:1255526. [PMID: 37885475 PMCID: PMC10598661 DOI: 10.3389/fneur.2023.1255526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/15/2023] [Indexed: 10/28/2023] Open
Abstract
Background and purpose Computed tomography perfusion (CTP) has successfully extended the time window for reperfusion therapies in ischemic stroke. However, the published perfusion parameters and thresholds vary between studies. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines, we conducted a systematic review to investigate the accuracy of parameters and thresholds for identifying core and penumbra in adult stroke patients. Methods We searched Medline, Embase, the Cochrane Library, and reference lists of manuscripts up to April 2022 using the following terms "computed tomography perfusion," "stroke," "infarct," and "penumbra." Studies were included if they reported perfusion thresholds and undertook co-registration of CTP to reference standards. The quality of studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool and Standards for Reporting of Diagnostic Accuracy (STARD) guidelines. Results A total of 24 studies were included. A meta-analysis could not be performed due to insufficient data and significant heterogeneity in the study design. When reported, the mean age was 70.2 years (SD+/-3.69), and the median NIHSS on admission was 15 (IQR 13-17). The perfusion parameter identified for the core was relative cerebral blood flow (rCBF), with a median threshold of <30% (IQR 30, 40%). However, later studies reported lower thresholds in the early time window with rapid reperfusion (median 25%, IQR 20, 30%). A total of 15 studies defined a single threshold for all brain regions irrespective of collaterals and the gray and white matter. Conclusion A single threshold and parameter may not always accurately differentiate penumbra from core and oligemia. Further refinement of parameters is needed in the current era of reperfusion therapy.
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Affiliation(s)
| | | | | | | | | | - Thanh Phan
- Stroke and Ageing Research (STAR), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
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3
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Kusuma Y, Clissold B, Riley P, Talman P, Wong A, Litt LYL, Bustami M, Kiemas LS, Putri IA, Kemal MAR, Arpandy RA, Melita M, Yan B, Yielder P. Possible Influence of Ethnicity on Computed Tomography Perfusion Parameter Thresholds in Acute Ischaemic Stroke. Cerebrovasc Dis 2023; 53:245-251. [PMID: 37549646 DOI: 10.1159/000533384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 06/07/2023] [Indexed: 08/09/2023] Open
Abstract
INTRODUCTION Tissue at risk, as estimated by CT perfusion utilizing Tmax+6, correlates with final infarct volume (FIV) in acute ischaemic stroke (AIS) without reperfusion. Tmax thresholds are derived from Western ethnic populations but not from ethnic Asian populations. We aimed to investigate the influence of ethnicity on Tmax thresholds. METHODS From a clinical-imaging registry of Australian and Indonesian stroke patients, we selected a participant subgroup with the following inclusion criteria: AIS under 24 h and absence of reperfusion therapy. Clinical data included demographics, time metrics, stroke severity, pre-morbid, and 3-month Modified Rankin Score. Baseline computed tomography perfusion and MRI <72 h were performed. Volumes of Tmax utilizing different thresholds and FIVs were calculated. Spearman correlation was used to evaluate relationship involving ordinal variables and calculate the optimal Tmax threshold against FIV in both populations. RESULTS Two hundred patients were included in the study sample, 100 in Jakarta and 100 in Geelong. The median National Institutes of Health Stroke Scale (IQR) were 6 (3-11) and 3 (1-5), respectively. The median Tmax+6 (IQR) was 0 (0-46.5) in Jakarta group and 0 (0-7.5) in Geelong group. The median FIV (IQR) was 0 (0-30.5) and 0 (0-5.5). Tmax+8 s in Jakarta population against FIV showed Spearman's coefficient ρ = 0.72, representing the optimal Tmax threshold. Tmax+6 s showed Spearman's coefficient ρ = 0.51 against FIV in the Geelong population. CONCLUSION Tmax thresholds approximating FIV were possibly different in the Asian when compared with the non-Asian populations. Future studies are required to extend and confirm the validity of our findings.
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Affiliation(s)
- Yohanna Kusuma
- School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
- Melbourne Brain Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Benjamin Clissold
- School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
- Department of Neurology, The Geelong University Hospital, Geelong, Victoria, Australia
| | - Peter Riley
- School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
| | - Paul Talman
- School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
- Department of Neurology, The Geelong University Hospital, Geelong, Victoria, Australia
| | - Andrew Wong
- Centre Clinical Research (CCR), University of Queensland, Brisbane, Queensland, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Leonard Yeo Leong Litt
- Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore
- Department of Medicine, National University Health System, Singapore, Singapore
| | - Mursyid Bustami
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Lyna Soertidewi Kiemas
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Indah Aprianti Putri
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - M Arief R Kemal
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Reza A Arpandy
- Department of Neurology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Melita Melita
- Department of Radiology, National Brain Centre Prof. Dr. Mahar Mardjono-Airlangga University, Jakarta/Surabaya, Indonesia
| | - Bernard Yan
- Melbourne Brain Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Paul Yielder
- School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
- Health Sciences, Ontario Tech University Oshawa, Oshawa, Ontario, Canada
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Abbasnejad A, Tomkins-Netzer O, Winter A, Friedman A, Cruess A, Serlin Y, Levy J. A fluorescein angiography-based computer-aided algorithm for assessing the retinal vasculature in diabetic retinopathy. Eye (Lond) 2023; 37:1293-1301. [PMID: 35643792 PMCID: PMC10170131 DOI: 10.1038/s41433-022-02120-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 04/24/2022] [Accepted: 05/20/2022] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE To present a fluorescein angiography (FA)‒based computer algorithm for quantifying retinal blood flow, perfusion, and permeability, in patients with diabetic retinopathy (DR). Secondary objectives were to quantitatively assess treatment efficacy following panretinal photocoagulation (PRP) and define thresholds for pathology based on a new retinovascular function (RVF) score for quantifying disease severity. METHODS FA images of 65 subjects (58 patients and 7 healthy volunteers) were included. Dye intensity kinetics were derived using pixel-wise linear regression as a measure of retinal blood flow, perfusion, and permeability. Maps corresponding to each measure were then generated for each subject and segmented further using an ETDRS grid. Non-parametric statistical analyses were performed between all ETDRS subfields. For 16 patients, the effect of PRP was measured using the same parameters, and an amalgam of RVF was used to create an RVF index. For ten post-treatment patients, the change in FA-derived data was compared to the macular thickness measured using optical coherence tomography. RESULTS Compared to healthy controls, patients had significantly lower retinal and regional perfusion and flow, as well as higher retinal permeability (p < 0.05). Moreover, retinal flow was inversely correlated with permeability (R = -0.41; p < 0.0001). PRP significantly reduced retinal permeability (p < 0.05). The earliest marker of DR was reduced retinal blood flow, followed by increased permeability. FA-based RVF index was a more sensitive indicator of treatment efficacy than macular thickness. CONCLUSIONS Our algorithm can be used to quantify retinovascular function, providing an earlier diagnosis and an objective characterisation of disease state, disease progression, and response to treatment.
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Affiliation(s)
- Amir Abbasnejad
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
- Emagix, Inc., Halifax, NS, Canada
| | - Oren Tomkins-Netzer
- Department of Ophthalmology, Faculty of Medicine, Carmel Medical Center, Technion, Haifa, Israel
| | - Aaron Winter
- Department of Ophthalmology, QEII Hospital, Dalhousie University, Halifax, NS, Canada
| | - Alon Friedman
- Emagix, Inc., Halifax, NS, Canada
- Departments of Medical Neuroscience and Pediatrics, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Alan Cruess
- Department of Ophthalmology, QEII Hospital, Dalhousie University, Halifax, NS, Canada
| | - Yonatan Serlin
- Neurology Residency Training Program and Department of Neurology and Neurosurgery, Jewish General Hospital (J.M.), McGill University, Montreal, QC, Canada
| | - Jaime Levy
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
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Lacidogna G, Pitocchi F, Mascolo AP, Marrama F, D’Agostino F, Rocco A, Mori F, Maestrini I, Sabuzi F, Cavallo A, Morosetti D, Garaci F, Di Giuliano F, Floris R, Sallustio F, Diomedi M, Da Ros V. CT Perfusion as a Predictor of the Final Infarct Volume in Patients with Tandem Occlusion. J Pers Med 2023; 13:jpm13020342. [PMID: 36836576 PMCID: PMC9964425 DOI: 10.3390/jpm13020342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/01/2023] [Accepted: 02/08/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND CT perfusion (CTP) is used in patients with anterior circulation acute ischemic stroke (AIS) for predicting the final infarct volume (FIV). Tandem occlusion (TO), involving both intracranial large vessels and the ipsilateral cervical internal carotid artery could generate hemodynamic changes altering perfusion parameters. Our aim is to evaluate the accuracy of CTP in the prediction of the FIV in TOs. METHODS consecutive patients with AIS due to middle cerebral artery occlusion, referred to a tertiary stroke center between March 2019 and January 2021, with an automated CTP and successful recanalization (mTICI = 2b - 3) after endovascular treatment were retrospectively included in the tandem group (TG) or in the control group (CG). Patients with parenchymal hematoma type 2, according to ECASS II classification of hemorrhagic transformations, were excluded in a secondary analysis. Demographic, clinical, radiological, time intervals, safety, and outcome measures were collected. RESULTS among 319 patients analyzed, a comparison between the TG (N = 22) and CG (n = 37) revealed similar cerebral blood flow (CBF) > 30% (29.50 ± 32.33 vs. 15.76 ± 20.93 p = 0.18) and FIV (54.67 ± 65.73 vs. 55.14 ± 64.64 p = 0.875). Predicted ischemic core (PIC) and FIV correlated in both TG (tau = 0.761, p < 0.001) and CG (tau = 0.315, p = 0.029). The Bland-Altmann plot showed agreement between PIC and FIV for both groups, mainly in the secondary analysis. CONCLUSION automated CTP could represent a good predictor of FIV in patients with AIS due to TO.
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Affiliation(s)
- Giordano Lacidogna
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
- Correspondence: ; Tel.: +39-0620903423
| | - Francesca Pitocchi
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy
| | - Alfredo Paolo Mascolo
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Federico Marrama
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Federica D’Agostino
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Alessandro Rocco
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Francesco Mori
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Ilaria Maestrini
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Federico Sabuzi
- Interventional Radiology Unit, Department of Biomedicine and Prevention, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Armando Cavallo
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy
| | - Daniele Morosetti
- Interventional Radiology Unit, Department of Biomedicine and Prevention, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Francesco Garaci
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy
| | - Francesca Di Giuliano
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy
| | - Roberto Floris
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy
| | - Fabrizio Sallustio
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Marina Diomedi
- Stroke Center, Department of Systems Medicine, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
| | - Valerio Da Ros
- Interventional Radiology Unit, Department of Biomedicine and Prevention, University Hospital of Rome “Tor Vergata”, Viale Oxford 81, 00133 Rome, Italy
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Yang W, Hoving JW, Koopman MS, Tolhuisen ML, van Voorst H, Berkheme OA, Coutinho JM, Beenen LFM, Emmer BJ. Agreement between estimated computed tomography perfusion ischemic core and follow-up infarct on diffusion-weighted imaging. Insights Imaging 2022; 13:191. [PMID: 36512159 PMCID: PMC9748002 DOI: 10.1186/s13244-022-01334-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Computed tomography perfusion (CTP) is frequently performed during the diagnostic workup of acute ischemic stroke patients. Yet, ischemic core estimates vary widely between different commercially available software packages. We assessed the volumetric and spatial agreement of the ischemic core on CTP with the follow-up infarct on diffusion-weighted imaging (DWI) using an automated software. METHODS We included successfully reperfused patients who underwent endovascular treatment (EVT) with CTP and follow-up DWI between November 2017 and September 2020. CTP data were processed with a fully automated software using relative cerebral blood flow (rCBF) < 30% to estimate the ischemic core. The follow-up infarct was segmented on DWI imaging data, which were acquired at approximately 24 h. Ischemic core on CTP was compared with the follow-up infarct lesion on DWI using intraclass correlation coefficient (ICC) and Dice similarity coefficient (Dice). RESULTS In 59 patients, the median estimated core volume on CTP was 16 (IQR 8-47) mL. The follow-up infarct volume on DWI was 11 (IQR 6-42) mL. ICC was 0.60 (95% CI 0.33-0.76), indicating moderate volumetric agreement. Median Dice was 0.20 (IQR 0.01-0.35). The median positive predictive value was 0.24 (IQR 0.05-0.57), and the median sensitivity was 0.3 (IQR 0.13-0.47). Severe core overestimation on computed tomography perfusion > 50 mL occurred in 4/59 (7%) of the cases. CONCLUSIONS In patients with successful reperfusion after EVT, CTP-estimated ischemic core showed moderate volumetric and spatial agreement with the follow-up infarct lesion on DWI, similar to the most used commercially available CTP software packages. Severe ischemic core overestimation was relatively uncommon.
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Affiliation(s)
- Wenjin Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan W Hoving
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
| | - Miou S Koopman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Manon L Tolhuisen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Olvert A Berkheme
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
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Zhang Y, Hong L, Ling Y, Yang L, Li S, Cheng X, Dong Q. Association of time to groin puncture with patient outcome after endovascular therapy stratified by etiology. Front Aging Neurosci 2022; 14:884087. [PMID: 36299609 PMCID: PMC9590449 DOI: 10.3389/fnagi.2022.884087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 09/05/2022] [Indexed: 11/26/2022] Open
Abstract
Background Randomized clinical trials and large stroke registries have demonstrated a time-dependent benefit of endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO). The aim of this study was to investigate whether this could be applied to different stroke subtypes in a real-world single-center cohort. Materials and methods Consecutive ischemic stroke patients with LVOs presenting within 24 h after symptom onset were prospectively registered and retrospectively assessed. Baseline multimodal imaging was conducted before EVT. Independent predictors of functional independence [90-day modified Rankin scale (mRS), 0–2] and any incidence of intracranial hemorrhage (ICH) were explored using a stepwise logistic regression model in the entire cohort and in stroke subtypes. Results From 2015 to 2020, 140 eligible patients received EVT, of whom 59 (42%) were classified as large artery atherosclerosis (LAA)-related. Time from last known normal to groin puncture was identified as an independent predictor for functional independence in patients of cardioembolic (CE) subtype [odds ratio (OR) 0.90 per 10 min; 95% CI 0.82–0.98; P = 0.013] but not in the LAA subtype and the whole cohort. Groin puncture within 6 h after the time of last known normal was associated with a lower risk of any ICH in the whole cohort (OR 0.36, 95% CI 0.17–0.75, P = 0.007). Sensitivity analysis of patients with complete imaging profiles also confirmed the above findings. Besides, compared with patients of the CE subtype, the LAA subtype had a smaller baseline ischemic core volume, a better collateral status, a slower core growth rate, and a numerically smaller final infarct volume. Conclusion Faster groin puncture has a more pronounced effect on the functional outcome in patients of CE subtype than those of LAA subtype. Reducing time to groin puncture is of great importance in improving the prognosis of patients after EVT, especially those of CE subtype, and reducing the incidence of any ICH in all patients.
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Affiliation(s)
- Yiran Zhang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Lan Hong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yifeng Ling
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Lumeng Yang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Siyuan Li
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Xin Cheng,
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
- Qiang Dong,
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Dzialowski I, Puetz V, Parsons M, Bivard A, von Kummer R. Computed Tomography-Based Evaluation of Cerebrovascular Disease. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00047-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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9
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Liu F, Shen H, Chen C, Bao H, Zuo L, Xu X, Yang Y, Cochrane A, Xiao Y, Li G. Mechanical Thrombectomy for Acute Stroke Due to Large-Vessel Occlusion Presenting With Mild Symptoms. Front Neurol 2021; 12:739267. [PMID: 34777207 PMCID: PMC8581036 DOI: 10.3389/fneur.2021.739267] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 09/30/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: To evaluate the safety and efficacy of mechanical thrombectomy (MT) for acute stroke due to large vessel occlusion (LVO), presenting with mild symptoms. Methods: A prospective cohort study of patients with mild ischemic stroke and LVO was conducted. Patients were divided into two groups: MT group or best medical management (MM) group. Propensity score matching (PSM) was conducted to reduce the confounding bias between the groups. The primary outcome was functional independence at 90 days. The safety outcome was symptomatic intracranial hemorrhage (sICH). Univariate and multivariate logistic regression analyses were used to identify the independent factors associated with outcomes. Results: Among the 105 included patients, 43 were in the MT group and 62 in the MM group. Forty-three pairs of patients were generated after PSM. There were no significant differences in sICH rates between two groups (p = 1.000). The MT group had a higher proportion of independent outcomes (83.7% MT vs. 67.4% MM; OR 2.483; 95% CI 0.886–6.959; p = 0.079) and excellent outcomes (76.7% MT vs. 51.2% MM; OR 3.150; 95% CI 1.247–7.954; p = 0.013) compared to the MM group, especially in patients with stroke of the anterior circulation (p < 0.05). Multivariate logistic regression analysis showed that small infarct core volume (p = 0.015) and MT treatment (p = 0.013) were independently associated with excellent outcomes. Conclusions: Our results suggest that MT in stroke patients, presenting with mild symptoms, due to acute LVO in the anterior circulation may be associated with satisfactory clinical outcomes. Clinical Trial Registration:ClinicalTrials.gov, identifier: NCT04526756.
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Affiliation(s)
- Feifeng Liu
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hao Shen
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chen Chen
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huan Bao
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lian Zuo
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiahong Xu
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yumei Yang
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Alexia Cochrane
- University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Yaping Xiao
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Gang Li
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
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Gyawali P, Lillicrap TP, Tomari S, Bivard A, Holliday E, Parsons M, Levi C, Garcia-Esperon C, Spratt N. Whole blood viscosity is associated with baseline cerebral perfusion in acute ischemic stroke. Neurol Sci 2021; 43:2375-2381. [PMID: 34669084 PMCID: PMC8918183 DOI: 10.1007/s10072-021-05666-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 10/14/2021] [Indexed: 11/28/2022]
Abstract
Whole blood viscosity (WBV) is the intrinsic resistance to flow developed due to the frictional force between adjacent layers of flowing blood. Elevated WBV is an independent risk factor for stroke. Poor microcirculation due to elevated WBV can prevent adequate perfusion of the brain and might act as an important secondary factor for hypoperfusion in acute ischaemic stroke. In the present study, we examined the association of WBV with basal cerebral perfusion assessed by CT perfusion in acute ischaemic stroke. Confirmed acute ischemic stroke patients (n = 82) presenting in hours were recruited from the single centre. Patients underwent baseline multimodal CT (non-contrast CT, CT angiography and CT perfusion). Where clinically warranted, patients also underwent follow-up DWI. WBV was measured in duplicate within 2 h after sampling from 5-mL EDTA blood sample. WBV was significantly correlated with CT perfusion parameters such as perfusion lesion volume, ischemic core volume and mismatch ratio; DWI volume and baseline NIHSS. In a multivariate linear regression model, WBV significantly predicted acute perfusion lesion volume, core volume and mismatch ratio after adjusting for the effect of occlusion site and collateral status. Association of WBV with hypoperfusion (increased perfusion lesion volume, ischaemic core volume and mismatch ratio) suggest the role of erythrocyte rheology in cerebral haemodynamic of acute ischemic stroke. The present findings open new possibilities for therapeutic strategies targeting erythrocyte rheology to improve cerebral microcirculation in stroke.
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Affiliation(s)
- Prajwal Gyawali
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia. .,Faculty of Health, Engineering and Sciences, School of Health and Wellbeing, University of Southern Queensland, Toowoomba, Queensland, Australia.
| | - Thomas Patrick Lillicrap
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Shinya Tomari
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Andrew Bivard
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia.,Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Elizabeth Holliday
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,University of New South Wales, Sydney, New South Wales, Australia
| | - Mark Parsons
- John Hunter Hospital, Hunter New England Health, New Lambton Heights, New South Wales, Australia
| | - Christopher Levi
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia.,John Hunter Hospital, Hunter New England Health, New Lambton Heights, New South Wales, Australia.,Education, Research and Enterprise, Sydney Partnership for Health, Liverpool, New South Wales, Australia
| | - Carlos Garcia-Esperon
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Neil Spratt
- Priority Research Centre for Stroke and Brain Injury, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia.,School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, New South Wales, Australia
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11
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Hong L, Lin L, Li G, Yang J, Geng Y, Lou M, Parsons M, Cheng X, Dong Q. Identification of embolic stroke in patients with large vessel occlusion: The Chinese embolic stroke score, CHESS. CNS Neurosci Ther 2021; 28:531-539. [PMID: 34559949 PMCID: PMC8928917 DOI: 10.1111/cns.13729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 08/17/2021] [Accepted: 08/29/2021] [Indexed: 11/28/2022] Open
Abstract
Aims The aim of the study was to develop a simple and objective score using clinical variables and quantified perfusion measures to identify embolic stroke with large vessel occlusions. Methods Eligible patients from five centers participating in the International Stroke Perfusion Imaging Registry were included in this study. Patients were split into a derivation cohort (n = 213) and a validation cohort (n = 116). A score was developed according to the coefficients of independent predictors of embolic stroke from stepwise logistic regression model in the derivation cohort. The performance of the score was validated by assessing its discrimination and calibration. Results The independent predictors of embolic stroke made up the Chinese Embolic Stroke Score (CHESS). There were: history of atrial fibrillation (3 points), non‐hypertension history (2 points), and delay time>6 s volume/delay time>3 s volume on perfusion imaging ≥0.23 (2 points). The AUC of CHESS in the derivation cohort and validation cohort were 0.87 and 0.79, respectively. Patients with a CHESS of 0 could be identified as low‐risk of embolic stroke, with a CHESS of 2–4 could be identified as medium‐risk and with a CHESS of 5–7 could be regarded as high‐risk. The observed rate of embolic stroke of each risk group was well‐calibrated with the predicted rate. Conclusion CHESS could reliably and independently identify embolic stroke as the cause of large vessel occlusion.
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Affiliation(s)
- Lan Hong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Longting Lin
- South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia
| | - Gang Li
- Department of Neurology, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Jianhong Yang
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Yu Geng
- Department of Neurology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Mark Parsons
- South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
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Risk and Benefit Evaluation: Application of Multiphase Computed Tomography Angiography in Mechanical Thrombectomy for Patients With Acute Ischemic Stroke. J Comput Assist Tomogr 2021; 45:736-742. [PMID: 34469901 DOI: 10.1097/rct.0000000000001219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The objective of this study was to evaluate the collateral circulation in patients with acute ischemic stroke (AIS) by multiphase computed tomography angiography (mCTA) and explore its application value in the risk and benefit assessment after thrombectomy. METHODS Clinical and imaging parameters of AIS patients who underwent thrombectomy were consecutively collected. The 90-day modified Rankin Scale (mRS) score was used as the standard for evaluating the recovery of neurological functions. The receiver operating characteristic curve and correlation analysis were used to evaluate the diagnostic efficacy of collateral circulation in the clinical outcomes at 90 days and the correlation with symptomatic intracerebral hemorrhage (sICH), respectively. RESULTS Thirty of 58 AIS patients (51.7%) had favorable functional recovery (90-day mRS score, ≤2). Significant differences were observed in age, time from symptom onset to groin puncture, National Institutes of Health Stroke Scale score at admission and 24 hours after thrombectomy, mRS score at discharge, collateral circulation score, and target mismatch between the favorable and unfavorable groups (P < 0.05). The diagnostic efficacy of mCTA collateral score (area under the curve, 0.697; 95% confidence interval, 0.563-0.831) was similar to that of computed tomography perfusion target mismatch (area under the curve, 0.740; 95% confidence interval, 0.609-0.872) (DeLong test, P = 0.575). The collateral circulation score was significantly negatively correlated with sICH (ρ = -0.607, P < 0.001). Patients with sICH had lower collateral circulation scores and higher 90-day mRS scores (P < 0.05). CONCLUSIONS The mCTA collateral score has good application value in the risk and benefit evaluation after mechanical thrombectomy, and it is well suited for routine emergency assessment of AIS patients.
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Tomasetti L, Hollesli LJ, Engan K, Kurz KD, Kurz MW, Khanmohammadi M. Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke. IEEE J Biomed Health Inform 2021; 26:660-672. [PMID: 34270438 DOI: 10.1109/jbhi.2021.3097591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by radiologists for assessing the severity of the stroke. Standard parametric maps are calculated from the CTP datasets. Based on parametric value combinations, ischemic regions are separated into presumed infarct core (irreversibly damaged tissue) and penumbra (tissue-at-risk). Different thresholding approaches have been suggested to segment the parametric maps into these areas. The purpose of this study is to compare fully-automated methods based on machine learning and thresholding approaches to segment the hypoperfused regions in patients with ischemic stroke. METHODS We test two different architectures with three mainstream machine learning algorithms. We use parametric maps, as input features, and manual annotations made by two expert neuroradiologists as ground truth. RESULTS The best results are produced with random forest (RF) and Single-Step approach; we achieve an average Dice coefficient of 0.68 and 0.26, respectively for penumbra and core, for the three groups analysed. We also achieve an average in volume difference of 25.1ml for penumbra and 7.8ml for core. CONCLUSIONS Our best RF-based method outperforms the classical thresholding approaches, to segment both the ischemic regions in a group of patients regardless of the severity of vessel occlusion. SIGNIFICANCE A correct visualization of the ischemic regions will guide treatment decision better.
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14
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Broocks G, Minnerup J, McDonough R, Flottmann F, Kemmling A. Letter by Broocks et al Regarding Article, "Challenging the Ischemic Core Concept in Acute Ischemic Stroke Imaging". Stroke 2021; 52:e76-e77. [PMID: 33493065 DOI: 10.1161/strokeaha.120.032707] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., R.M., F.F.)
| | - Jens Minnerup
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Germany (J.M.)
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., R.M., F.F.)
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., R.M., F.F.)
| | - Andre Kemmling
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck (A.K.).,Department of Neuroradiology, Westpfalzklinikum-Kaiserslautern, Germany (A.K.)
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15
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Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke. LA RADIOLOGIA MEDICA 2021; 126:795-803. [PMID: 33469818 DOI: 10.1007/s11547-020-01316-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 11/20/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE A variety of postprocessing algorithms for CT perfusion are available, with substantial differences in terms of quantitative maps. Although potential advantages of a Bayesian estimation algorithm are suggested, direct comparison with other algorithms in clinical settings remains scarce. We aimed to compare performance of a Bayesian estimation algorithm and singular value decomposition (SVD) algorithms for the assessment of acute ischemic stroke using an 80-detector row CT perfusion. METHODS CT perfusion data of 36 patients with acute ischemic stroke were analyzed using the Vitrea implemented a standard SVD algorithm, a reformulated SVD algorithm and a Bayesian estimation algorithm. Correlations and statistical differences between affected and contralateral sides of quantitative parameters (cerebral blood volume [CBV], cerebral blood flow [CBF], mean transit time [MTT], time to peak [TTP] and delay) were analyzed. Agreement of the CT perfusion-estimated and the follow-up diffusion-weighted imaging-derived infarct volume were evaluated by nonparametric Passing-Bablok regression analysis. RESULTS CBF and MTT of the Bayesian estimation algorithm were substantially different and showed a better correlation with the standard SVD algorithm (ρ = 0.78 and 0.80, p < 0.001) than with the reformulated SVD algorithm (ρ = 0.59 and 0.39, p < 0.001). There is no significant difference in MTT only when using the reformulated SVD algorithm (p = 0.217). Regarding the regression lines, the slope and intercept were nearly ideal with the Bayesian estimation algorithm (y = 2.42 x-6.51; ρ = 0.60, p < 0.001) in comparison with the SVD algorithms. CONCLUSIONS The Bayesian estimation algorithm can lead to a better performance compared with the SVD algorithms in the assessment of acute ischemic stroke because of better delineation of abnormal perfusion areas and accurate estimation of infarct volume.
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Trofimova S, Trofimov A, Dubrovin A, Agarkova D, Trofimova K, Dobrzeniecki M, Zorkova A, Bragin DE. Assessment of Cerebral Autoregulation in the Perifocal Zone of a Chronic Subdural Hematoma. ACTA NEUROCHIRURGICA. SUPPLEMENT 2021; 131:51-54. [PMID: 33839817 PMCID: PMC8086812 DOI: 10.1007/978-3-030-59436-7_11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
INTRODUCTION The knowledge of conservative treatment modalities for a chronic subdural hematoma (CSDH) is still based on low-grade evidence. The purpose of this study was to evaluate the condition of the microcirculation and autoregulation in the perifocal CSDH zone for understanding of the mechanism of CSDH development. METHODS Cerebral microcirculation was evaluated in patients with the aid of brain perfusion computed tomography (PCT) within the first day. Perfusion parameters were assessed quantitatively in the cortex zone adjacent to the CSDH and in a similar zone of the contralateral hemisphere. The same PCT data were assessed quantitatively without and with use of a perfusion calculation mode excluding large-vessel voxels ("remote vessels" (RVs)) in the first and second methods, respectively. RESULTS The first method of analysis of a similar zone in the contralateral hemisphere revealed significant increases in cerebral blood volume and cerebral blood flow (P < 0.01) in comparison with normal values. Use of the second method with RVs showed no significant changes in perfusion parameters in microcirculatory blood flow in the cortex on the side contralateral to the hematoma. CONCLUSION The persistence of microcirculatory blood flow perfusion reflects preservation of cerebral blood flow autoregulation in patients with a CSDH.
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Affiliation(s)
- Svetlana Trofimova
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Alex Trofimov
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia.
| | - Antony Dubrovin
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Darya Agarkova
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Ksenia Trofimova
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Michael Dobrzeniecki
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Ann Zorkova
- Department of Neurosurgery, Privolzhsky Research Medical University, Nizhniy Novgorod, Russia
| | - Denis E Bragin
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, NM, USA
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17
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Yoshie T, Yu Y, Jiang H, Honda T, Trieu H, Scalzo F, Saver JL, Liebeskind DS. Perfusion Parameter Thresholds That Discriminate Ischemic Core Vary with Time from Onset in Acute Ischemic Stroke. AJNR Am J Neuroradiol 2020; 41:1809-1815. [PMID: 32855193 DOI: 10.3174/ajnr.a6744] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 06/29/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE When mapping the ischemic core and penumbra in patients with acute ischemic stroke using perfusion imaging, the core is currently delineated by applying the same threshold value for relative CBF at all time points from onset to imaging. We investigated whether the degree of perfusion abnormality and optimal perfusion parameter thresholds for defining ischemic core vary with time from onset to imaging. MATERIALS AND METHODS In a prospectively maintained registry, consecutive patients were analyzed who had ICA or M1 occlusion, baseline perfusion and diffusion MR imaging, treatment with IV tPA and/or endovascular thrombectomy, and a witnessed, well-documented time of onset. Ten superficial and deep MCA ROIs were analyzed in ADC and perfusion-weighted images. RESULTS Among the 66 patients meeting entry criteria, onset-to-imaging time was 162 minutes (range, 94-326 minutes). Of the 660 ROIs analyzed, 164 (24.8%) showed severely or moderately reduced ADC (ADC ≤ 620, ischemic core), and 496 (75.2%), mildly reduced or normal ADC (ADC > 620). In ischemic core ADC regions, longer onset-to-imaging times were associated with more highly abnormal perfusion parameters-relative CBF: Spearman correlation, r = -0.22, P = .005; relative CBV: r = -0.41, P < .001; MTT: - r = -0.29, P < .001; and time-to-maximum: r = 0.35, P < .001. As onset-to-imaging times increased, the best cutoff values for relative CBF and relative CBV to discriminate core from noncore tissue became progressively lower and overall accuracy of the core tissue definition increased. CONCLUSIONS Perfusion abnormalities in ischemic core regions become progressively more abnormal with longer intervals from onset to imaging. Perfusion parameter value thresholds that best delineate ischemic core are more severely abnormal and have higher accuracy with longer onset-to-imaging times.
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Affiliation(s)
- T Yoshie
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Department of Neurology and Neuro Endovascular Therapy (T.Y.), St. Marianna University Toyoko Hospital, Kanagawa, Japan
| | - Y Yu
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - H Jiang
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Department of Neurology (H.J.), the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - T Honda
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - H Trieu
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - F Scalzo
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - J L Saver
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - D S Liebeskind
- From the Department of Neurology (T.Y., Y.Y., H.J., T.H., H.T., F.S., J.L.S., D.S.L.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
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Bivard A, Kleinig T, Churilov L, Levi C, Lin L, Cheng X, Chen C, Aviv R, Choi PMC, Spratt NJ, Butcher K, Dong Q, Parsons M. Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke. Ann Neurol 2020; 88:466-476. [PMID: 32418242 PMCID: PMC7496077 DOI: 10.1002/ana.25785] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 05/13/2020] [Accepted: 05/14/2020] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We sought to examine the diagnostic utility of existing predictors of any hemorrhagic transformation (HT) and compare them with new perfusion imaging permeability measures in ischemic stroke patients receiving alteplase only. METHODS A pixel-based analysis of pretreatment CT perfusion (CTP) was undertaken to define the optimal CTP permeability thresholds to predict the likelihood of HT. We then compared previously proposed predictors of HT using regression analyses and receiver operating characteristic curve analysis to produce an area under the curve (AUC). We compared AUCs using χ2 analysis. RESULTS From 5 centers, 1,407 patients were included in this study; of these, 282 had HT. The cohort was split into a derivation cohort (1,025, 70% patients) and a validation cohort (382 patients or 30%). The extraction fraction (E) permeability map at a threshold of 30% relative to contralateral had the highest AUC at predicting any HT (derivation AUC 0.85, 95% confidence interval [CI], 0.79-0.91; validation AUC 0.84, 95% CI 0.77-0.91). The AUC improved when permeability was assessed within the acute perfusion lesion for the E maps at a threshold of 30% (derivation AUC 0.91, 95% CI 0.86-0.95; validation AUC 0.89, 95% CI 0.86-0.95). Previously proposed associations with HT and parenchymal hematoma showed lower AUC values than the permeability measure. INTERPRETATION In this large multicenter study, we have validated a highly accurate measure of HT prediction. This measure might be useful in clinical practice to predict hemorrhagic transformation in ischemic stroke patients before receiving alteplase alone. ANN NEUROL 2020;88:466-476.
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Affiliation(s)
- Andrew Bivard
- Departments of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Victoria, Australia
| | - Christopher Levi
- Melbourne Medical School, University of Melbourne, Victoria, Australia
| | - Longting Lin
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chushuang Chen
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia
| | - Richard Aviv
- Department of Radiology, Neuroradiology section, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Philip M C Choi
- Department of Neuroscience, Eastern Health. Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Neil J Spratt
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia
| | - Kenneth Butcher
- Department of Neurology, Department of Medicine, University of New South Wales, Kensington, New South Wales, Australia
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mark Parsons
- Departments of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
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Seiler A, Lauer A, Deichmann R, Nöth U, Herrmann E, Berkefeld J, Singer OC, Pfeilschifter W, Klein JC, Wagner M. Signal variance-based collateral index in DSC perfusion: A novel method to assess leptomeningeal collateralization in acute ischaemic stroke. J Cereb Blood Flow Metab 2020; 40:574-587. [PMID: 30755069 PMCID: PMC7025396 DOI: 10.1177/0271678x19831024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
As a determinant of the progression rate of the ischaemic process in acute large-vessel stroke, the degree of collateralization is a strong predictor of the clinical outcome after reperfusion therapy and may influence clinical decision-making. Therefore, the assessment of leptomeningeal collateralization is of major importance. The purpose of this study was to develop and evaluate a quantitative and observer-independent method for assessing leptomeningeal collateralization in acute large-vessel stroke based on signal variance characteristics in T2*-weighted dynamic susceptibility contrast (DSC) perfusion-weighted MR imaging (PWI). Voxels representing leptomeningeal collateral vessels were extracted according to the magnitude of signal variance in the PWI raw data time series in 55 patients with proximal large-artery occlusion and an intra-individual collateral vessel index (CVIPWI) was calculated. CVIPWI correlated significantly with the initial ischaemic core volume (rho = -0.459, p = 0.0001) and the PWI/DWI mismatch ratio (rho = 0.494, p = 0.0001) as an indicator of the amount of salvageable tissue. Furthermore, CVIPWI was significantly negatively correlated with NIHSS and mRS at discharge (rho = -0.341, p = 0.015 and rho = -0.305, p = 0.023). In multivariate logistic regression, CVIPWI was an independent predictor of favourable functional outcome (mRS 0-2) (OR = 16.39, 95% CI 1.42-188.7, p = 0.025). CVIPWI provides useful rater-independent information on the leptomeningeal collateral supply in acute stroke.
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Affiliation(s)
- Alexander Seiler
- Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | - Arne Lauer
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt, Germany
| | - Ulrike Nöth
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt, Germany
| | - Eva Herrmann
- Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, Frankfurt, Germany
| | - Joachim Berkefeld
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
| | - Oliver C Singer
- Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | | | - Johannes C Klein
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Marlies Wagner
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
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20
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Tian H, Chen C, Garcia-Esperon C, Parsons MW, Lin L, Levi CR, Bivard A. Dynamic CT but Not Optimized Multiphase CT Angiography Accurately Identifies CT Perfusion Target Mismatch Ischemic Stroke Patients. Front Neurol 2019; 10:1130. [PMID: 31708861 PMCID: PMC6819495 DOI: 10.3389/fneur.2019.01130] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 10/09/2019] [Indexed: 11/13/2022] Open
Abstract
Imaging protocols for acute ischemic stroke varies significantly from center to center leading to challenges in research translation. We aimed to assess the inter-rater reliability of collateral grading systems derived from dynamic computed tomography angiography (CTA) and an optimized multiphase CTA and, to analyze the association of the two CTA modalities with CT perfusion (CTP) compartments by comparing the accuracy of dynamic CTA (dCTA) and optimized multiphase CTA (omCTA) in identifying CT perfusion (CTP) target mismatch patients. Acute ischemic stroke patients with a proximal large vessel occlusion who underwent whole brain CTP were included in the study. Collateral status were assessed using ASPECTS collaterals (Alberta Stroke Program Early CT Score on Collaterals) and ASITN/SIR collateral system (the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology) on dCTA and omCTA. Eighty-one patients were assessed, with a median ischemic core volume of 29 mL. The collateral assessment with ASPECTS collaterals using dCTA have a similar inter-rater agreement (K-alpha: 0.71) compared to omCTA (K-alpha: 0.69). However, the agreement between dCTA and CTP in classifying patients with target mismatch was higher compared to omCTA (Kappa, dCTA: 0.81; omCTA: 0.64). We found dCTA was more accurate than omCTA in identifying target mismatch patients with proximal large vessel occlusion.
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Affiliation(s)
- Huiqiao Tian
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Chushuang Chen
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Carlos Garcia-Esperon
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Mark W Parsons
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Longting Lin
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher R Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Andrew Bivard
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
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Plain Computed Tomography With Spectral Imaging Findings of Early Cerebral Ischemia. J Craniofac Surg 2019; 31:125-129. [PMID: 31688256 DOI: 10.1097/scs.0000000000005938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE To investigate the findings of plain spectral computed tomography (CT) with multiparameter of early cerebral ischemia. PATIENTS AND METHODS Thirty-three patients with suspected early cerebral ischemia who received a one-stop CT examination (plain scan with spectral CT imaging mode, CTP and CTA) of the brain were enrolled in this study. No clear lesion was observed in any patient on the plain CT. However, the CTA displayed evidence of vascular stenosis and the CTP displayed a corresponding low perfusion area consistent with early cerebral ischemia. Regions of interest were placed in the abnormal perfusion regions and the contralateral symmetric regions on plain CT. Then, the CT value of the monochromatic images (70 kV), the slope of the spectral HU curve, blood (iodine), iodine (water), and water (iodine) concentrations were measured. A paired t-test was performed for data comparison. The receiver operating characteristic curve was used to evaluate diagnostic performance. RESULTS The CT values of the ischemic regions at 70 keV, the spectral HU curve, water, and blood values of the ischemic measurements were slightly lower than those of the contralateral symmetric regions (P < .05). Monochromatic images at 70 keV had the highest area under the curve value, and the sensitivity and specificity were 90.0% and 63.0%, respectively. CONCLUSION The difference of monochromatic CT values, spectral HU curve, and basic material concentrations between the early cerebral ischemia region and the contralateral symmetric region on spectral CT imaging may provide a reference with the diagnosis of early cerebral ischemia.
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Tian H, Parsons MW, Levi CR, Lin L, Aviv RI, Spratt NJ, Butcher KS, Lou M, Kleinig TJ, Bivard A. Influence of occlusion site and baseline ischemic core on outcome in patients with ischemic stroke. Neurology 2019; 92:e2626-e2643. [PMID: 31043475 DOI: 10.1212/wnl.0000000000007553] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 01/29/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We assessed patient clinical outcomes based on occlusion location, focusing on distal occlusions to understand if occlusion location was an independent predictor of outcome, and tested the relationship between occlusion location and baseline ischemic core, a known predictor of modified Rankin Scale (mRS) score at 90 days. METHODS We analyzed a prospectively collected cohort of thrombolysis-eligible ischemic stroke patients from the International Stroke Perfusion Imaging Registry who underwent multimodal CT pretreatment. For the primary analysis, logistic regression was used to predict the effect of occlusion location and ischemic core on the likelihood of excellent (mRS 0-1) and favorable (mRS 0-2) 90-day outcomes. RESULTS This study included 945 patients. The rates of excellent and favorable outcome in patients with distal occlusion (M2, M3 segment of middle cerebral artery, anterior cerebral artery, and posterior cerebral artery) were higher than M1 occlusions (mRS 0%-1%, 55% vs 37%; mRS 0%-2%, 73% vs 50%, p < 0.001). Vessel occlusion location was not a strong predictor of outcomes compared to baseline ischemic core (area under the curve, mRS 0-1, 0.64 vs 0.83; mRS 0-2, 0.70 vs 0.86, p < 0.001). There was no interaction between occlusion location and ischemic core (interaction coefficient 1.00, p = 0.798). CONCLUSIONS Ischemic stroke patients with a distal occlusion have higher rate of excellent and favorable outcome than patients with an M1 occlusion. The baseline ischemic core was shown to be a more powerful predictor of functional outcome than the occlusion location, but the relationship between ischemic core and outcome does not different by occlusion locations.
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Affiliation(s)
- Huiqiao Tian
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia.
| | - Mark W Parsons
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Christopher R Levi
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Longting Lin
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Richard I Aviv
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Neil J Spratt
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Kenneth S Butcher
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Min Lou
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Timothy J Kleinig
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
| | - Andrew Bivard
- From the Department of Neurology (H.T., M.W.P., C.R.L., L.L., N.J.S., A.B.), John Hunter Hospital, University of Newcastle, Australia; Department of Medical Imaging, Division of Neuroradiology (R.I.A.), Sunnybrook Health Sciences Center and University of Toronto; Division of Neurology, Department of Medicine (K.S.B.), University of Alberta, Edmonton, Canada; Department of Neurology (M.L.), the Second Affiliated Hospital of Zhejiang University, Hangzhou, China; and Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia
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The effect of software post-processing applications on identification of the penumbra and core within the ischaemic region in perfusion computed tomography. Pol J Radiol 2019; 84:e118-e125. [PMID: 31019604 PMCID: PMC6479142 DOI: 10.5114/pjr.2019.83182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 01/22/2019] [Indexed: 12/03/2022] Open
Abstract
Purpose Assessment of software applications designed for post-processing of CT imaging data and perfusion maps in terms of their ability to consistently define the penumbra and core in an ischemic area. Material and methods This study is based on measurements conducted in a group of 65 patients with neurological symptoms suggestive of ischaemia in the area of the MCA within 12 hours following onset of the first symptoms. Non-contrast and perfusion CT were performed during an emergency duty. The acquired data were processed using various programs to obtain defined ischaemic areas and parameters. Finally, the results obtained were compared to the distribution of penumbra and core within the ischaemic area received from different perfusion mapping programs. Results The programs designed to convert the acquired data and to map the distribution of perfusion were also assessed for their viability in dividing the ischaemic zone into penumbra and core. There was a statistically strong correlation (0.784-0.846) between results obtained by processing of imaging data with two different packages, and then by post-processing with one package, and a poor correlation (0.315-0.554) between results obtained by processing of data with the same package, and post-processing with two different packages designed for measuring penumbra and core areas. Conclusions The results obtained by processing of imaging data with different software applications and by post-processing with one program developed for identifying penumbra and core areas show a strong correlation. However, the results obtained by processing imaging data with the same software application and by post-processing with different programs measuring penumbra and core areas reveal poor correlation.
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24
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A "one-stop-shop" 4D CTA protocol using 320-row CT for advanced imaging in acute ischemic stroke: a technical note. Eur Radiol 2019; 29:4930-4936. [PMID: 30770970 DOI: 10.1007/s00330-019-06041-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/24/2018] [Accepted: 01/24/2019] [Indexed: 12/21/2022]
Abstract
This technical note describes a novel CT scan protocol that includes a non-enhanced CT, dynamic CTA, and perfusion of the whole brain and CTA of the carotid arteries using a 320-row area detector CT scanner, with a unique contrast injection and acceptable radiation exposure dose in patients presenting with acute ischemic stroke. The acquisition parameters and reconstruction parameters will be discussed including the use of model-based iterative reconstruction (MBIR), time summing (tMIP), and subtraction techniques to optimize the results of this protocol.Key Points• Scanning on a 320-row area detector CT can achieve both brain perfusion with dynamic angiography and reconstructed arterial and venous CTA, and supra aortic trunk angiography, in a single acquisition. • It provides, in a single exam, a full diagnostic workup, i.e., all the acquisitions that are needed to make a quick decision, with reasonable exposure to ionizing radiation and reduced amount of medium contrast, in case of acute ischemic stroke presentation.
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Reeves P, Edmunds K, Levi C, Lin L, Cheng X, Aviv R, Kleinig T, Butcher K, Zhang J, Parsons M, Bivard A. Cost-effectiveness of targeted thrombolytic therapy for stroke patients using multi-modal CT compared to usual practice. PLoS One 2018; 13:e0206203. [PMID: 30352076 PMCID: PMC6198974 DOI: 10.1371/journal.pone.0206203] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 10/09/2018] [Indexed: 11/18/2022] Open
Abstract
Introduction The use of multimodal computed tomography imaging (MMCT) in routine clinical assessment of stroke patients improves the identification of patients with large regions of salvageable brain tissue, lower risk for haemorrhagic transformation, or a large vessel occlusion requiring endovascular therapy. Aim To evaluate the cost-effectiveness of using MMCT compared to usual practice for determining eligibility for reperfusion therapy with alteplase using real world data from the International Stroke Perfusion Imaging Registry (INSPIRE). Methods We performed a cost-utility analysis. Mean costs and quality-adjusted life years (QALYs) per patient for two alternative screening protocols were calculated. Protocol 1 represented usual practice, while Protocol 2 reflected treatment targeting using multimodal imaging. Cost-effectiveness was assessed using the net-benefit framework. Results Protocol 1 had a total mean per patient cost of $2,013 USD and 0.148 QALYs. Protocol 2 had a total mean per patient cost of $1,519 USD and 0.153 QALYs. For a range of willingness-to-pay values, representing implicit thresholds of cost-effectiveness, the lower bound of the incremental net monetary benefit statistic was consistently greater than zero, indicating that MMCT is cost- effective compared to usual practice. The results were most sensitive to variation in the mean number of alteplase vials administered. Conclusion In a healthcare setting where multimodal imaging technologies are available and reimbursed, their use in screening patients presenting with acute stroke to determine eligibility for alteplase treatment is cost-effective given a range of willingness-to-pay thresholds and warrants consideration as an alternative to routine practice.
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Affiliation(s)
- Penny Reeves
- Health Research Economics, Hunter Medical Research Institute (HMRI), Newcastle, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Kim Edmunds
- Health Research Economics, Hunter Medical Research Institute (HMRI), Newcastle, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- * E-mail:
| | - Christopher Levi
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Longting Lin
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Richard Aviv
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, and University of Toronto, Toronto, Canada
| | - Tim Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Jingfen Zhang
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - Mark Parsons
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Andrew Bivard
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
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Di Giuliano F, Picchi E, Sallustio F, Ferrazzoli V, Alemseged F, Greco L, Minosse S, Da Ros V, Diomedi M, Garaci F, Marziali S, Floris R. Accuracy of advanced CT imaging in prediction of functional outcome after endovascular treatment in patients with large-vessel occlusion. Neuroradiol J 2018; 32:62-70. [PMID: 30303448 DOI: 10.1177/1971400918805710] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND AND PURPOSE Computed tomography perfusion (CTP) and multiphase CT angiography (mCTA) help selection for endovascular treatment (EVT) in anterior ischemic stroke (AIS). Our aim was to investigate the ability of perfusion maps and collateral score to predict functional outcome after EVT. PATIENTS AND METHODS Patients with M1-middle cerebral artery occlusion, evaluated by mCTA and CTP and treated with EVT within six hours of onset, were enrolled. Perfusion parametric maps of cerebral blood flow (CBF), cerebral blood volume (CBV) and time to maximum of tissue residue function ( Tmax) were generated; areas of altered perfusion were manually outlined to obtain volumes CBFv, CBVv, Tmax,v16-25s and Tmax,v9.5-25s . Diffusion-weighted imaging (DWI) at 24-36 hours was used to manually outline the ischemic core (volume: DWIv). Collateral vessels were assessed on mCTA considering extent and delay of maximal enhancement (six-point scale). Functional outcome was evaluated by modified Rankin Scale score at three months. Volumes in good and poor outcome groups were compared by Wilcoxon rank-sum test t, and their discriminative ability for outcome was determined by receiver operating characteristic analysis. A logistic regression model, including Tmax, CBF and collaterals, was used to differentiate good and poor outcome. RESULTS Seventy-one patients (mean age 75 ± 11 years, range 45-99 years) were included. Tmax,v16-25s , Tmax,v9.5-25s , CBVv, CBFv and DWIv were statistically different between the two groups. CBF had the best discriminative value for good and poor outcome (area under the curve (AUC) 0.73; 64.5% sensitivity; 74.4% specificity); the logistic regression model might be promising (AUC 0.79, 64.5% sensitivity, 82.1% specificity). CONCLUSIONS In patients with AIS, the combined use of CTP and mCTA predicts functional outcome of EVT and might allow better selection.
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Affiliation(s)
| | - Eliseo Picchi
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Fabrizio Sallustio
- 2 Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Italy
| | | | - Fana Alemseged
- 2 Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Italy.,3 Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Australia
| | - Laura Greco
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Silvia Minosse
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Valerio Da Ros
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Marina Diomedi
- 2 Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Italy.,4 I.R.C.C.S., Santa Lucia Foundation, Italy
| | - Francesco Garaci
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Simone Marziali
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
| | - Roberto Floris
- 1 Department of Biomedicine and Prevention, University of Tor Vergata, Italy
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Martins N, Aires A, Mendez B, Boned S, Rubiera M, Tomasello A, Coscojuela P, Hernandez D, Muchada M, Rodríguez-Luna D, Rodríguez N, Juega JM, Pagola J, Molina CA, Ribó M. Ghost Infarct Core and Admission Computed Tomography Perfusion: Redefining the Role of Neuroimaging in Acute Ischemic Stroke. INTERVENTIONAL NEUROLOGY 2018; 7:513-521. [PMID: 30410531 DOI: 10.1159/000490117] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 04/22/2018] [Indexed: 12/13/2022]
Abstract
Background Determining the size of infarct extent is crucial to elect patients for reperfusion therapies. Computed tomography perfusion (CTP) based on cerebral blood volume may overestimate infarct core on admission and consequently include ghost infarct core (GIC) in a definitive lesional area. Purpose Our goal was to confirm and better characterize the GIC phenomenon using CTP cerebral blood flow (CBF) as the reference parameter to determine infarct core. Methods We performed a retrospective, single-center analysis of consecutive thrombectomies of middle cerebral or intracranial internal carotid artery occlusions considering noncontrast CT Alberta Stroke Program Early CT Score ≥6 in patients with pretreatment CTP. We used the RAPID® software to measure admission infarct core based on initial CBF. The final infarct was extracted from follow-up CT. GIC was defined as initial core minus final infarct > 10 mL. Results A total of 123 patients were included. The median National Institutes of Health Stroke Scale score was 18 (13-20), the median time from symptoms to CTP was 188 (67-288) min, and the recanalization rate (Thrombolysis in Cerebral Infarction score 2b, 2c, or 3) was 83%. Twenty patients (16%) presented with GIC. GIC was associated with shorter time to recanalization (150 [105-291] vs. 255 [163-367] min, p = 0.05) and larger initial CBF core volume (38 [26-59] vs. 6 [0-27] mL, p < 0.001). An adjusted logistic regression model identified time to recanalization < 302 min (OR 4.598, 95% CI 1.143-18.495, p = 0.032) and initial infarct volume (OR 1.01, 95% CI 1.001-1.019, p = 0.032) as independent predictors of GIC. At 24 h, clinical improvement was more frequent in patients with GIC (80 vs. 49%, p = 0.01). Conclusions CTP CBF < 30% may overestimate infarct core volume, especially in patients imaged in the very early time window and with fast complete reperfusion. Therefore, the CTP CBF technique may exclude patients who would benefit from endovascular treatment.
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Affiliation(s)
- Nuno Martins
- Department of Internal Medicine, Hospital Fernando Fonseca, Amadora, Portugal
| | - Ana Aires
- Department of Neurology, São João Hospital Center, Porto, Portugal.,Department of Clinical Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Beatriz Mendez
- Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Sandra Boned
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marta Rubiera
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Alejandro Tomasello
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Pilar Coscojuela
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - David Hernandez
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Marián Muchada
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - David Rodríguez-Luna
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Noelia Rodríguez
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Jesús M Juega
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Jorge Pagola
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Carlos A Molina
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marc Ribó
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
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Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms. ENTROPY 2018; 20:e20070506. [PMID: 33265596 PMCID: PMC7513026 DOI: 10.3390/e20070506] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 06/26/2018] [Accepted: 06/28/2018] [Indexed: 12/17/2022]
Abstract
Maturation and ageing, which can be characterised by the dynamic changes in brain morphology, can have an impact on the physiology of the brain. As such, it is possible that these changes can have an impact on the magnetic activity of the brain recorded using magnetoencephalography. In this study changes in the resting state brain (magnetic) activity due to healthy ageing were investigated by estimating the complexity of magnetoencephalogram (MEG) signals. The main aim of this study was to identify if the complexity of background MEG signals changed significantly across the human lifespan for both males and females. A sample of 177 healthy participants (79 males and 98 females aged between 21 and 80 and grouped into 3 categories i.e., early-, mid- and late-adulthood) was used in this investigation. This investigation also extended to evaluating if complexity values remained relatively stable during the 5 min recording. Complexity was estimated using permutation Lempel-Ziv complexity, a recently introduced complexity metric, with a motif length of 5 and a lag of 1. Effects of age and gender were investigated in the MEG channels over 5 brain regions, i.e., anterior, central, left lateral, posterior, and, right lateral, with highest complexity values observed in the signals recorded by the channels over the anterior and central regions of the brain. Results showed that while changes due to age had a significant effect on the complexity of the MEG signals recorded over 5 brain regions, gender did not have a significant effect on complexity values in all age groups investigated. Moreover, although some changes in complexity were observed between the different minutes of recording, due to the small magnitude of the changes it was concluded that practical significance might outweigh statistical significance in this instance. The results from this study can contribute to form a fingerprint of the characteristics of healthy ageing in MEGs that could be useful when investigating changes to the resting state activity due to pathology.
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Tian H, Parsons MW, Levi CR, Cheng X, Aviv RI, Spratt NJ, Kleinig TJ, O'Brien B, Butcher KS, Lin L, Zhang J, Dong Q, Chen C, Bivard A. Intravenous Thrombolysis May Not Improve Clinical Outcome of Acute Ischemic Stroke Patients Without a Baseline Vessel Occlusion. Front Neurol 2018; 9:405. [PMID: 29928251 PMCID: PMC5997810 DOI: 10.3389/fneur.2018.00405] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 05/17/2018] [Indexed: 11/13/2022] Open
Abstract
Background and Purpose: The benefit of thrombolysis in ischemic stroke patients without a visible vessel occlusion still requires investigation. This study tested the hypothesis that non-lacunar stroke patients with no visible vessel occlusion on baseline imaging would have a favorable outcome regardless of treatment with alteplase. Methods: We utilized a prospectively collected registry of ischemic stroke patients [the International Stroke Perfusion Imaging Registry (INSPIRE)] who had baseline computed tomographic perfusion and computed tomographic angiography. The rates of patients achieving modified Rankin Scale (mRS) 0-1 were compared between alteplase treated and untreated patients using logistic regression to generate odds ratios. Results: Of 1569 patients in the INSPIRE registry, 1,277 were eligible for inclusion. Of these, 306 (24%) had no identifiable occlusion and were eligible for alteplase, with 141 (46%) of these patients receiving thrombolysis. The treated and untreated groups had significantly different median baseline National Institutes of Health Stroke Scale (NIHSS) [alteplase 8, interquartile range (IQR) 5-10, untreated 6, IQR 4-8, P < 0.001] and median volume of baseline perfusion lesion [alteplase 5.6 mL, IQR 1.3-17.7 mL, untreated 2.6 mL, IQR 0-6.7 mL, P < 0.001]. After propensity analysis, alteplase treated patients without a vessel occlusion were less likely to have an excellent outcome (mRS 0-1; 56%) than untreated (78.8%, OR, 0.42, 95% confidence interval, 0.24-0.75, P = 0.003). Conclusions: In this non-randomized comparison, alteplase treatment in patients without an identifiable vessel occlusion did not result in higher rates of favorable outcome compared to untreated. However, treated patients displayed less favorable baseline prognostic factors than the untreated group. Further studies may be required to confirm this data.
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Affiliation(s)
- Huiqiao Tian
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Mark W Parsons
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher R Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Richard I Aviv
- Division of Neuroradiology, Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Neil J Spratt
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Billy O'Brien
- Department of Neurology, Gosford Hospital, Gosford, NSW, Australia
| | - Kenneth S Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Longting Lin
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Jingfen Zhang
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chushuang Chen
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Andrew Bivard
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
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Defining CT Perfusion Thresholds for Infarction in the Golden Hour and With Ultra-Early Reperfusion. Can J Neurol Sci 2018; 45:339-342. [DOI: 10.1017/cjn.2017.287] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractIn this brief report, computed tomography perfusion (CTP) thresholds predicting follow-up infarction in patients presenting <3 hours from stroke onset and achieving ultra-early reperfusion (<45 minutes from CTP) are reported. CTP thresholds that predict follow-up infarction vary based on time to reperfusion: Tmax >20 to 23 seconds and cerebral blood flow <5 to 7 ml/min−1/(100 g)−1 or relative cerebral blood flow <0.14 to 0.20 optimally predicted the final infarct. These thresholds are stricter than published thresholds.
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Bivard A, Kleinig T, Miteff F, Butcher K, Lin L, Levi C, Parsons M. Ischemic core thresholds change with time to reperfusion: A case control study. Ann Neurol 2018; 82:995-1003. [PMID: 29205466 PMCID: PMC6712948 DOI: 10.1002/ana.25109] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 11/07/2017] [Accepted: 11/26/2017] [Indexed: 12/23/2022]
Abstract
Introduction We aimed to identify whether acute ischemic stroke patients with known complete reperfusion after thrombectomy had the same baseline computed tomography perfusion (CTP) ischemic core threshold to predict infarction as thrombolysis patients with complete reperfusion. Methods Patients who underwent thrombectomy were matched by age, clinical severity, occlusion location, and baseline perfusion lesion volume to patients who were treated with intravenous alteplase alone from the International Stroke Perfusion Imaging Registry. A pixel‐based analysis of coregistered pretreatment CTP and 24‐hour diffusion‐weighted imaging (DWI) was then undertaken to define the optimum CTP thresholds for the ischemic core. Results There were 132 eligible thrombectomy patients and 132 matched controls treated with alteplase alone. Baseline National Institutes of Health Stroke Scale (median, 15; interquartile range [IQR], 11–19), age (median, 65; IQR, 59–80), and time to intravenous treatment (median, 153 minutes; IQR, 82–315) were well matched (all p > 0.05). Despite similar baseline CTP ischemic core volumes using the previously validated measure (relative cerebral blood flow [rCBF], <30%), thrombectomy patients had a smaller median 24‐hour infarct core of 17.3ml (IQR, 11.3–32.8) versus 24.3ml (IQR, 16.7–42.2; p = 0.011) in alteplase‐treated controls. As a result, the optimal threshold to define the ischemic core in thrombectomy patients was rCBF <20% (area under the curve [AUC], 0.89; 95% CI, 0.84, 0.94), whereas in alteplase controls the optimal ischemic core threshold remained rCBF <30% (AUC, 0.83; 95% CI, 0.77, 0.85). Interpretation Thrombectomy salvaged tissue with lower CBF, likely attributed to earlier reperfusion. For patients who achieve rapid reperfusion, a stricter rCBF threshold to estimate the ischemic core should be considered. Ann Neurol 2017;82:995–1003
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Affiliation(s)
- Andrew Bivard
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Tim Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, Australia
| | - Ferdinand Miteff
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Longting Lin
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Christopher Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Mark Parsons
- Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
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Copen WA, Yoo AJ, Rost NS, Morais LT, Schaefer PW, González RG, Wu O. In patients with suspected acute stroke, CT perfusion-based cerebral blood flow maps cannot substitute for DWI in measuring the ischemic core. PLoS One 2017; 12:e0188891. [PMID: 29190675 PMCID: PMC5708772 DOI: 10.1371/journal.pone.0188891] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 09/25/2017] [Indexed: 12/02/2022] Open
Abstract
Background Neuroimaging may guide acute stroke treatment by measuring the volume of brain tissue in the irreversibly injured “ischemic core.” The most widely accepted core volume measurement technique is diffusion-weighted MRI (DWI). However, some claim that measuring regional cerebral blood flow (CBF) with CT perfusion imaging (CTP), and labeling tissue below some threshold as the core, provides equivalent estimates. We tested whether any threshold allows reliable substitution of CBF for DWI. Methods 58 patients with suspected stroke underwent DWI and CTP within six hours of symptom onset. A neuroradiologist outlined DWI lesions. In CBF maps, core pixels were defined by thresholds ranging from 0%-100% of normal, in 1% increments. Replicating prior studies, we used receiver operating characteristic (ROC) curves to select thresholds that optimized sensitivity and specificity in predicting DWI-positive pixels, first using only pixels on the side of the brain where infarction was clinically suspected (“unilateral” method), then including both sides (“bilateral”). We quantified each method and threshold’s accuracy in estimating DWI volumes, using sums of squared errors (SSE). For the 23 patients with follow-up studies, we assessed whether CBF-derived volumes inaccurately exceeded follow-up infarct volumes. Results The areas under the ROC curves were 0.89 (unilateral) and 0.90 (bilateral). Various metrics selected optimum CBF thresholds ranging from 29%-32%, with sensitivities of 0.79–0.81, and specificities of 0.83–0.85. However, for the unilateral and bilateral methods respectively, volume estimates derived from all CBF thresholds above 28% and 22% were less accurate than disregarding imaging and presuming every patient’s core volume to be zero. The unilateral method with a 30% threshold, which recent clinical trials have employed, produced a mean core overestimation of 65 mL (range: –82–191), and exceeded follow-up volumes for 83% of patients, by up to 191 mL. Conclusion CTP-derived CBF maps cannot substitute for DWI in measuring the ischemic core.
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Affiliation(s)
- William A. Copen
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Albert J. Yoo
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Neurointervention, Texas Stroke Institute, Fort Worth, Texas, United States of America
| | - Natalia S. Rost
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Lívia T. Morais
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Pamela W. Schaefer
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - R. Gilberto González
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ona Wu
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
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Comparison of Two Algorithms for Analysis of Perfusion Computed Tomography Data for Evaluation of Cerebral Microcirculation in Chronic Subdural Hematoma. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017. [PMID: 27526170 DOI: 10.1007/978-3-319-38810-6_53] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register]
Abstract
The aim of this work was comparison of two algorithms of perfusion computed tomography (PCT) data analysis for evaluation of cerebral microcirculation in the perifocal zone of chronic subdural hematoma (CSDH). Twenty patients with CSDH after polytrauma were included in the study. The same PCT data were assessed quantitatively in cortical brain region beneath the CSDH (zone 1), and in the corresponding contralateral brain hemisphere (zone 2) without and with the use of perfusion calculation mode excluding vascular pixel 'Remote Vessels' (RV); 1st and 2nd analysis method, respectively. Comparison with normal values for perfusion indices in the zone 1 in the 1st analysis method showed a significant (p < 0.01) increase in CBV and CBF, and no significant increase in MTT and TTP. Use of the RV mode (2nd analysis method) showed no statistically reliable change of perfusion parameters in the microcirculatory blood flow of the 2nd zone. Maintenance of microcirculatory blood flow perfusion reflects the preservation of cerebral blood flow autoregulation in patients with CSDH.
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Lillicrap T, Tahtalı M, Neely A, Wang X, Bivard A, Lueck C. A model based on the Pennes bioheat transfer equation is valid in normal brain tissue but not brain tissue suffering focal ischaemia. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2017; 40:841-850. [PMID: 29098600 DOI: 10.1007/s13246-017-0595-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2017] [Accepted: 10/18/2017] [Indexed: 11/29/2022]
Abstract
Ischaemic stroke is a major public health issue in both developed and developing nations. Hypothermia is believed to be neuroprotective in cerebral ischaemia. Conversely, elevated brain temperature is associated with poor outcome after ischaemic stroke. Mechanisms of heat exchange in normally-perfused brain are relatively well understood, but these mechanisms have not been studied as extensively during focal cerebral ischaemia. A finite element model (FEM) of heat exchange during focal ischaemia in the human brain was developed, based on the Pennes bioheat equation. This model incorporated healthy (normally-perfused) brain tissue, tissue that was mildly hypoperfused but not at risk of cell death (referred to as oligaemia), tissue that was hypoperfused and at risk of death but not dead (referred to as penumbra) and tissue that had died as a result of ischaemia (referred to as infarct core). The results of simulations using this model were found to match previous in-vivo temperature data for normally-perfused brain. However, the results did not match what limited data are available for hypoperfused brain tissue, in particular the penumbra, which is the focus of acute neuroprotective treatments such as hypothermia. These results suggest that the assumptions of the Pennes bioheat equation, while valid in the brain under normal circumstances, are not valid during focal ischaemia. Further investigation into the heat exchange profiles that do occur during focal ischaemia may yield results for clinical trials of therapeutic hypothermia.
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Affiliation(s)
| | - Murat Tahtalı
- School of Engineering and IT, UNSW Canberra, Canberra, Australia
| | - Andrew Neely
- School of Engineering and IT, UNSW Canberra, Canberra, Australia
| | - Xiaofei Wang
- National University of Singapore, Singapore, Singapore
| | - Andrew Bivard
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Christian Lueck
- Medical School, Australian National University, Canberra, Australia.,Neurology Department, The Canberra Hospital, Canberra, Australia
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Chen C, Parsons MW, Clapham M, Oldmeadow C, Levi CR, Lin L, Cheng X, Lou M, Kleinig TJ, Butcher KS, Dong Q, Bivard A. Influence of Penumbral Reperfusion on Clinical Outcome Depends on Baseline Ischemic Core Volume. Stroke 2017; 48:2739-2745. [PMID: 28887396 DOI: 10.1161/strokeaha.117.018587] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 07/30/2017] [Accepted: 08/03/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Chushuang Chen
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Mark W. Parsons
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Matthew Clapham
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Christopher Oldmeadow
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Christopher R. Levi
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Longting Lin
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Xin Cheng
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Min Lou
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Timothy J. Kleinig
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Kenneth S. Butcher
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Qiang Dong
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
| | - Andrew Bivard
- From the Department of Neurology, John Hunter Hospital, University of Newcastle, Australia (C.C., M.P., C.L., L.L., A.B.); Public Health Stream, Hunter Medical Research Institute, Newcastle, Australia (M.C., C.O.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., Q.D.); Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, China (M.L.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K.); and Division of Neurology,
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Karthik R, Menaka R. Computer-aided detection and characterization of stroke lesion – a short review on the current state-of-the art methods. IMAGING SCIENCE JOURNAL 2017. [DOI: 10.1080/13682199.2017.1370879] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- R. Karthik
- School of Electronics Engineering, VIT University, Chennai, India
| | - R. Menaka
- School of Electronics Engineering, VIT University, Chennai, India
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Kawano H, Bivard A, Lin L, Ma H, Cheng X, Aviv R, O'Brien B, Butcher K, Lou M, Zhang J, Jannes J, Dong Q, Levi CR, Parsons MW. Perfusion computed tomography in patients with stroke thrombolysis. Brain 2017; 140:684-691. [PMID: 28040669 PMCID: PMC5382947 DOI: 10.1093/brain/aww338] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 11/09/2016] [Indexed: 11/24/2022] Open
Abstract
See Saver (doi:10.1093/awx020) for a scientific commentary on this article. Stroke shortens an individual’s disability-free life. We aimed to assess the relative prognostic influence of pre- and post-treatment perfusion computed tomography imaging variables (e.g. ischaemic core and penumbral volumes) compared to standard clinical predictors (such as onset-to-treatment time) on long-term stroke disability in patients undergoing thrombolysis. We used data from a prospectively collected international, multicentre, observational registry of acute ischaemic stroke patients who had perfusion computed tomography and computed tomography angiography before treatment with intravenous alteplase. Baseline perfusion computed tomography and follow-up magnetic resonance imaging were analysed to derive the baseline penumbra volume, baseline ischaemic core volume, and penumbra salvaged from infarction. The primary outcome measure was the effect of imaging and clinical variables on Disability-Adjusted Life Year. Clinical variables were age, sex, National Institutes of Health Stroke Scale score, and onset-to-treatment time. Age, sex, country, and 3-month modified Rankin Scale were extracted from the registry to calculate disability-adjusted life-year due to stroke, such that 1 year of disability-adjusted life-year equates to 1 year of healthy life lost due to stroke. There were 772 patients receiving alteplase therapy. The number of disability-adjusted life-year days lost per 1 ml of baseline ischaemic core volume was 17.5 (95% confidence interval, 13.2–21.9 days, P < 0.001). For every millilitre of penumbra salvaged, 7.2 days of disability-adjusted life-year days were saved (β = −7.2, 95% confidence interval, −10.4 to −4.1 days, P < 0.001). Each minute of earlier onset-to-treatment time resulted in a saving of 4.4 disability-free days after stroke (1.3–7.5 days, P = 0.006). However, after adjustment for imaging variables, onset-to-treatment time was not significantly associated with savings in disability-adjusted life-year days. Pretreatment perfusion computed tomography can (independently of clinical variables) predict significant gains, or loss, of disability-free life in patients undergoing reperfusion therapy for stroke. The effect of earlier treatment on disability-free life appears explained by salvage of penumbra, particularly when the ischaemic core is not too large.
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Affiliation(s)
- Hiroyuki Kawano
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Lookout Road, New Lambton Heights, NSW 2305, Australia
| | - Andrew Bivard
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Lookout Road, New Lambton Heights, NSW 2305, Australia
| | - Longting Lin
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Lookout Road, New Lambton Heights, NSW 2305, Australia
| | - Henry Ma
- Department of Neurology, Monash Medical Centre, Monash University, 246 Clayton Road Clayton, VIC, 3168, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai 200040, China
| | - Richard Aviv
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada
| | - Billy O'Brien
- Department of Neurology, Gosford Hospital, Holden Street, Gosford, NSW, 2250, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, 13-103 Clinical Sciences Building, 11350-83 Avenue, Edmonton, Alberta, T6G 2R3, Canada
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, No.88 Jiefang Road, Hangzhou, 310009, China
| | - Jingfen Zhang
- Department of Neurology, Baotou Central Hospital, Inner Mongolia, Baotou, 014040, China
| | - Jim Jannes
- Department of Neurology, The Queen Elizabeth Hospital, 28 Woodville Road Woodville South, SA, 5011, Australia
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai 200040, China
| | - Christopher R Levi
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Lookout Road, New Lambton Heights, NSW 2305, Australia
| | - Mark W Parsons
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Lookout Road, New Lambton Heights, NSW 2305, Australia
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Bivard A, Levi C, Lin L, Cheng X, Aviv R, Spratt NJ, Lou M, Kleinig T, O'Brien B, Butcher K, Zhang J, Jannes J, Dong Q, Parsons M. Validating a Predictive Model of Acute Advanced Imaging Biomarkers in Ischemic Stroke. Stroke 2017; 48:645-650. [PMID: 28104836 DOI: 10.1161/strokeaha.116.015143] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 11/29/2016] [Accepted: 12/02/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Advanced imaging to identify tissue pathophysiology may provide more accurate prognostication than the clinical measures used currently in stroke. This study aimed to derive and validate a predictive model for functional outcome based on acute clinical and advanced imaging measures. METHODS A database of prospectively collected sub-4.5 hour patients with ischemic stroke being assessed for thrombolysis from 5 centers who had computed tomographic perfusion and computed tomographic angiography before a treatment decision was assessed. Individual variable cut points were derived from a classification and regression tree analysis. The optimal cut points for each assessment variable were then used in a backward logic regression to predict modified Rankin scale (mRS) score of 0 to 1 and 5 to 6. The variables remaining in the models were then assessed using a receiver operating characteristic curve analysis. RESULTS Overall, 1519 patients were included in the study, 635 in the derivation cohort and 884 in the validation cohort. The model was highly accurate at predicting mRS score of 0 to 1 in all patients considered for thrombolysis therapy (area under the curve [AUC] 0.91), those who were treated (AUC 0.88) and those with recanalization (AUC 0.89). Next, the model was highly accurate at predicting mRS score of 5 to 6 in all patients considered for thrombolysis therapy (AUC 0.91), those who were treated (0.89) and those with recanalization (AUC 0.91). The odds ratio of thrombolysed patients who met the model criteria achieving mRS score of 0 to 1 was 17.89 (4.59-36.35, P<0.001) and for mRS score of 5 to 6 was 8.23 (2.57-26.97, P<0.001). CONCLUSIONS This study has derived and validated a highly accurate model at predicting patient outcome after ischemic stroke.
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Affiliation(s)
- Andrew Bivard
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.).
| | - Christopher Levi
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Longting Lin
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Xin Cheng
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Richard Aviv
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Neil J Spratt
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Min Lou
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Tim Kleinig
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Billy O'Brien
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Kenneth Butcher
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Jingfen Zhang
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Jim Jannes
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Qiang Dong
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
| | - Mark Parsons
- From the Departments of Neurology, John Hunter Hospital, University of Newcastle, Australia (A.B., C.L., L.L., N.J.S., M.P.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (X.C., M.L., Q.D.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada (R.A.); Department of Neurology, Royal Adelaide Hospital, Australia (T.K., J.J.); Department of Neurology, Gosford Hospital, Australia (B.O.); Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (K.B.); and Department of Neurology, Baotou Central Hospital, China (J.Z.)
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Demeestere J, Sewell C, Rudd J, Ang T, Jordan L, Wills J, Garcia-Esperon C, Miteff F, Krishnamurthy V, Spratt N, Lin L, Bivard A, Parsons M, Levi C. The establishment of a telestroke service using multimodal CT imaging decision assistance: "Turning on the fog lights". J Clin Neurosci 2016; 37:1-5. [PMID: 27887976 DOI: 10.1016/j.jocn.2016.10.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 10/15/2016] [Indexed: 11/25/2022]
Abstract
Telestroke services have been shown to increase stroke therapy access in rural areas. The implementation of advanced CT imaging for patient assessment may improve patient selection and detection of stroke mimics in conjunction with telestroke. We implemented a telestroke service supported by multimodal CT imaging in a rural hospital in Australia. Over 21months we conducted an evaluation of service activation, thrombolysis rates and use of multimodal imaging to assess the feasibility of the service. Rates of symptomatic intracranial haemorrhage and 90-day modified Rankin Score were used as safety outcomes. Fifty-eight patients were assessed using telestroke, of which 41 were regarded to be acute ischemic strokes and 17 to be stroke mimics on clinical grounds. Of the 41 acute stroke patients, 22 patients were deemed eligible for thrombolysis. Using multimodal CT imaging, 8 more patients were excluded from treatment because of lack of treatment target. Multimodal imaging failed to be obtained in one patient. For the 14 treated patients, median door-imaging time was 38min. Median door-treatment time was 91min. A 90-day mRS ⩽2 was achieved in 40% of treated patients. We conclude that a telestroke service using advanced CT imaging for therapy decision assistance can be successfully implemented in regional Australia and can be used to guide acute stroke treatment decision-making and improve access to thrombolytic therapy. Efficiency and safety is comparable to established telestroke services.
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Affiliation(s)
| | - Claire Sewell
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Jennifer Rudd
- Manning Rural Referral Hospital, Taree, NSW, Australia
| | - Timothy Ang
- John Hunter Hospital, Newcastle, NSW, Australia
| | - Louise Jordan
- Hunter Stroke Service, Hunter New England Health, Newcastle, NSW, Australia
| | - James Wills
- Manning Rural Referral Hospital, Taree, NSW, Australia
| | | | | | | | - Neil Spratt
- John Hunter Hospital, Newcastle, NSW, Australia; University of Newcastle, Callaghan, NSW, Australia
| | - Longting Lin
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Andrew Bivard
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Mark Parsons
- John Hunter Hospital, Newcastle, NSW, Australia; University of Newcastle, Callaghan, NSW, Australia
| | - Christopher Levi
- John Hunter Hospital, Newcastle, NSW, Australia; University of Newcastle, Callaghan, NSW, Australia.
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40
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Cereda CW, Christensen S, Campbell BCV, Mishra NK, Mlynash M, Levi C, Straka M, Wintermark M, Bammer R, Albers GW, Parsons MW, Lansberg MG. A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard. J Cereb Blood Flow Metab 2016; 36:1780-1789. [PMID: 26661203 PMCID: PMC5076783 DOI: 10.1177/0271678x15610586] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 08/27/2015] [Indexed: 11/15/2022]
Abstract
Differences in research methodology have hampered the optimization of Computer Tomography Perfusion (CTP) for identification of the ischemic core. We aim to optimize CTP core identification using a novel benchmarking tool. The benchmarking tool consists of an imaging library and a statistical analysis algorithm to evaluate the performance of CTP. The tool was used to optimize and evaluate an in-house developed CTP-software algorithm. Imaging data of 103 acute stroke patients were included in the benchmarking tool. Median time from stroke onset to CT was 185 min (IQR 180-238), and the median time between completion of CT and start of MRI was 36 min (IQR 25-79). Volumetric accuracy of the CTP-ROIs was optimal at an rCBF threshold of <38%; at this threshold, the mean difference was 0.3 ml (SD 19.8 ml), the mean absolute difference was 14.3 (SD 13.7) ml, and CTP was 67% sensitive and 87% specific for identification of DWI positive tissue voxels. The benchmarking tool can play an important role in optimizing CTP software as it provides investigators with a novel method to directly compare the performance of alternative CTP software packages.
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Affiliation(s)
- Carlo W Cereda
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA Stroke Center, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland
| | - Søren Christensen
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Bruce C V Campbell
- Departments of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Nishant K Mishra
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Michael Mlynash
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Christopher Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle and Hunter Medical Research Institute, Newcastle, Australia
| | - Matus Straka
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Max Wintermark
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Roland Bammer
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Gregory W Albers
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
| | - Mark W Parsons
- Department of Neurology, John Hunter Hospital, University of Newcastle and Hunter Medical Research Institute, Newcastle, Australia
| | - Maarten G Lansberg
- Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA
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41
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Hage ZA, Alaraj A, Arnone GD, Charbel FT. Novel imaging approaches to cerebrovascular disease. Transl Res 2016; 175:54-75. [PMID: 27094991 DOI: 10.1016/j.trsl.2016.03.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Revised: 03/22/2016] [Accepted: 03/23/2016] [Indexed: 11/19/2022]
Abstract
Imaging techniques available to the physician treating neurovascular disease have substantially grown over the past several decades. New techniques as well as advances in imaging modalities continuously develop and provide an extensive array of modalities to diagnose, characterize, and understand neurovascular pathology. Modern noninvasive neurovascular imaging is generally based on computed tomography (CT), magnetic resonance (MR) imaging, or nuclear imaging and includes CT angiography, CT perfusion, xenon-enhanced CT, single-photon emission CT, positron emission tomography, magnetic resonance angiography, MR perfusion, functional magnetic resonance imaging with global and regional blood oxygen level dependent imaging, and magnetic resonance angiography with the use of the noninvasive optional vessel analysis software (River Forest, Ill). In addition to a brief overview of the technique, this review article discusses the clinical indications, advantages, and disadvantages of each of those modalities.
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Affiliation(s)
- Ziad A Hage
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Ill, USA
| | - Ali Alaraj
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Ill, USA
| | - Gregory D Arnone
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Ill, USA
| | - Fady T Charbel
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Ill, USA.
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Boned S, Padroni M, Rubiera M, Tomasello A, Coscojuela P, Romero N, Muchada M, Rodríguez-Luna D, Flores A, Rodríguez N, Juega J, Pagola J, Alvarez-Sabin J, Molina CA, Ribó M. Admission CT perfusion may overestimate initial infarct core: the ghost infarct core concept. J Neurointerv Surg 2016; 9:66-69. [DOI: 10.1136/neurintsurg-2016-012494] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Revised: 07/30/2016] [Accepted: 08/05/2016] [Indexed: 11/03/2022]
Abstract
BackgroundIdentifying infarct core on admission is essential to establish the amount of salvageable tissue and indicate reperfusion therapies. Infarct core is established on CT perfusion (CTP) as the severely hypoperfused area, however the correlation between hypoperfusion and infarct core may be time-dependent as it is not a direct indicator of tissue damage. This study aims to characterize those cases in which the admission core lesion on CTP does not reflect an infarct on follow-up imaging.MethodsWe studied patients with cerebral large vessel occlusion who underwent CTP on admission but received endovascular thrombectomy based on a non-contrast CT Alberta Stroke Program Early CT Score (ASPECTS) >6. Admission infarct core was measured on initial cerebral blood volume (CBV) CTP and final infarct on follow-up CT. We defined ghost infarct core (GIC) as initial core minus final infarct >10 mL.Results79 patients were studied. Median National Institutes of Health Stroke Scale (NIHSS) score was 17 (11–20), median time from symptoms to CTP was 215 (87–327) min, and recanalization rate (TICI 2b–3) was 77%. Thirty patients (38%) presented with a GIC >10 mL. GIC >10 mL was associated with recanalization (TICI 2b–3: 90% vs 68%; p=0.026), admission glycemia (<185 mg/dL: 42% vs 0%; p=0.028), and time to CTP (<185 min: 51% vs >185 min: 26%; p=0.033). An adjusted logistic regression model identified time from symptom to CTP imaging <185 min as the only predictor of GIC >10 mL (OR 2.89, 95% CI 1.04 to 8.09). At 24 hours, clinical improvement was more frequent in patients with GIC >10 mL (66.6% vs 39%; p=0.017).ConclusionsCT perfusion may overestimate final infarct core, especially in the early time window. Selecting patients for reperfusion therapies based on the CTP mismatch concept may deny treatment to patients who might still benefit from reperfusion.
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Bivard A, Lou M, Levi CR, Krishnamurthy V, Cheng X, Aviv RI, McElduff P, Lin L, Kleinig T, O'Brien B, Butcher K, Jingfen Z, Jannes J, Dong Q, Parsons MW. Too good to treat? ischemic stroke patients with small computed tomography perfusion lesions may not benefit from thrombolysis. Ann Neurol 2016; 80:286-93. [PMID: 27352245 DOI: 10.1002/ana.24714] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 06/05/2016] [Accepted: 06/26/2016] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Although commonly used in clinical practice, there remains much uncertainty about whether perfusion computed tomography (CTP) should be used to select stroke patients for acute reperfusion therapy. In this study, we tested the hypothesis that a small acute perfusion lesion predicts good clinical outcome regardless of thrombolysis administration. METHODS We used a prospectively collected cohort of acute ischemic stroke patients being assessed for treatment with IV-alteplase, who had CTP before a treatment decision. Volumetric CTP was retrospectively analyded to identify patients with a small perfusion lesion (<15ml in volume). The primary analysis was excellent 3-month outcome in patients with a small perfusion lesion who were treated with alteplase compared to those who were not treated. RESULTS Of 1526 patients, 366 had a perfusion lesion <15ml and were clinically eligible for alteplase (212 being treated and 154 not treated). Median acute National Institutes of Health Stroke Scale score was 8 in each group. Of the 366 patients with a small perfusion lesion, 227 (62%) were modified Rankin Scale (mRS) 0 to 1 at day 90. Alteplase-treated patients were less likely to achieve 90-day mRS 0 to 1 (57%) than untreated patients (69%; relative risk [RR] = 0.83; 95% confidence interval [CI], 0.71-0.97; p = 0.022) and did not have different rates of mRS 0 to 2 (72% treated patients vs 77% untreated; RR, 0.93; 95% CI, 0.82-1.95; p = 0.23). INTERPRETATION This large observational cohort suggests that a portion of ischemic stroke patients clinically eligible for alteplase therapy with a small perfusion lesion have a good natural history and may not benefit from treatment. Ann Neurol 2016;80:286-293.
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Affiliation(s)
- Andrew Bivard
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Christopher R Levi
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Venkatesh Krishnamurthy
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Richard I Aviv
- Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Patrick McElduff
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Longting Lin
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
| | - Tim Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, Australia
| | - Billy O'Brien
- Department of Neurology, Gosford Hospital, Gosford, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Zhang Jingfen
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - Jim Jannes
- Department of Neurology, The Queen Elizabeth Hospital, Adelaide, Australia
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mark W Parsons
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, Australia
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Kurz KD, Ringstad G, Odland A, Advani R, Farbu E, Kurz MW. Radiological imaging in acute ischaemic stroke. Eur J Neurol 2016; 23 Suppl 1:8-17. [PMID: 26563093 DOI: 10.1111/ene.12849] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 08/03/2015] [Indexed: 11/28/2022]
Abstract
Patients who suffer acute ischaemic stroke can be treated with thrombolysis if therapy is initiated early. Radiological evaluation of the intracranial tissue before such therapy can be given is mandatory. In this review current radiological diagnostic strategies are discussed for this patient group. Beyond non-enhanced computed tomography (CT), the standard imaging method for many years, more sophisticated CT stroke protocols including CT angiography and CT perfusion have been developed, and additionally an increasing number of patients are examined with magnetic resonance imaging as the first imaging method used. Advantages and challenges of the different methods are discussed.
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Affiliation(s)
- K D Kurz
- Department of Radiology, Stavanger University Hospital, Stavanger, Norway.,Radiologic Research Group, Stavanger University Hospital, Stavanger, Norway
| | - G Ringstad
- Department of Radiology and Nuclear Imaging, Oslo University Hospital - Rikshospitalet, Oslo, Norway
| | - A Odland
- Department of Radiology, Stavanger University Hospital, Stavanger, Norway.,Radiologic Research Group, Stavanger University Hospital, Stavanger, Norway
| | - R Advani
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Neuroscience Research Group, Stavanger University Hospital, Stavanger, Norway
| | - E Farbu
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Neuroscience Research Group, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, Haukeland University Hospital, Bergen, Norway
| | - M W Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway.,Neuroscience Research Group, Stavanger University Hospital, Stavanger, Norway
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Evaluation of glioblastomas and lymphomas with whole-brain CT perfusion: Comparison between a delay-invariant singular-value decomposition algorithm and a Patlak plot. J Neuroradiol 2016; 43:266-72. [PMID: 26947963 DOI: 10.1016/j.neurad.2016.01.147] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2015] [Revised: 12/26/2015] [Accepted: 01/23/2016] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Correction of contrast leakage is recommended when enhancing lesions during perfusion analysis. The purpose of this study was to assess the diagnostic performance of computed tomography perfusion (CTP) with a delay-invariant singular-value decomposition algorithm (SVD+) and a Patlak plot in differentiating glioblastomas from lymphomas. MATERIALS AND METHODS This prospective study included 17 adult patients (12 men and 5 women) with pathologically proven glioblastomas (n=10) and lymphomas (n=7). CTP data were analyzed using SVD+ and a Patlak plot. The relative tumor blood volume and flow compared to contralateral normal-appearing gray matter (rCBV and rCBF derived from SVD+, and rBV and rFlow derived from the Patlak plot) were used to differentiate between glioblastomas and lymphomas. The Mann-Whitney U test and receiver operating characteristic (ROC) analyses were used for statistical analysis. RESULTS Glioblastomas showed significantly higher rFlow (3.05±0.49, mean±standard deviation) than lymphomas (1.56±0.53; P<0.05). There were no statistically significant differences between glioblastomas and lymphomas in rBV (2.52±1.57 vs. 1.03±0.51; P>0.05), rCBF (1.38±0.41 vs. 1.29±0.47; P>0.05), or rCBV (1.78±0.47 vs. 1.87±0.66; P>0.05). ROC analysis showed the best diagnostic performance with rFlow (Az=0.871), followed by rBV (Az=0.771), rCBF (Az=0.614), and rCBV (Az=0.529). CONCLUSION CTP analysis with a Patlak plot was helpful in differentiating between glioblastomas and lymphomas, but CTP analysis with SVD+ was not.
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Yu Y, Han Q, Ding X, Chen Q, Ye K, Zhang S, Yan S, Campbell BCV, Parsons MW, Wang S, Lou M. Defining Core and Penumbra in Ischemic Stroke: A Voxel- and Volume-Based Analysis of Whole Brain CT Perfusion. Sci Rep 2016; 6:20932. [PMID: 26860196 PMCID: PMC4748242 DOI: 10.1038/srep20932] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 01/13/2016] [Indexed: 12/02/2022] Open
Abstract
Whole brain computed tomography perfusion (CTP) has the potential to select eligible patients for reperfusion therapy. We aimed to find the optimal thresholds on baseline CTP for ischemic core and penumbra in acute ischemic stroke. We reviewed patients with acute ischemic stroke in the anterior circulation, who underwent baseline whole brain CTP, followed by intravenous thrombolysis and perfusion imaging at 24 hours. Patients were divided into those with major reperfusion (to define the ischemic core) and minimal reperfusion (to define the extent of penumbra). Receiver operating characteristic (ROC) analysis and volumetric consistency analysis were performed separately to determine the optimal threshold by Youden’s Index and mean magnitude of volume difference, respectively. From a series of 103 patients, 22 patients with minimal-reperfusion and 47 with major reperfusion were included. Analysis revealed delay time ≥ 3 s most accurately defined penumbra (AUC = 0.813; 95% CI, 0.812-0.814, mean magnitude of volume difference = 29.1 ml). The optimal threshold for ischemic core was rCBF ≤ 30% within delay time ≥ 3 s (AUC = 0.758; 95% CI, 0.757-0.760, mean magnitude of volume difference = 10.8 ml). In conclusion, delay time ≥ 3 s and rCBF ≤ 30% within delay time ≥ 3 s are the optimal thresholds for penumbra and core, respectively. These results may allow the application of the mismatch on CTP to reperfusion therapy.
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Affiliation(s)
- Yannan Yu
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Quan Han
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Xinfa Ding
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Qingmeng Chen
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Keqi Ye
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Sheng Zhang
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Shenqiang Yan
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Mark W Parsons
- Department of Neurology, John Hunter Hospital, and Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Shaoshi Wang
- Department of Neurology, Shanghai Jiaotong University Affiliated Branch of People's No. 1 Hospital, Shanghai, China
| | - Min Lou
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
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Bivard A, Cheng X, Lin LT, Levi C, Spratt N, Kleinig T, O'Brien B, Butcher K, Lou M, Zhang JF, Sylaja PN, Cao WJ, Jannes J, Dong Q, Parsons M. Global White Matter Hypoperfusion on CT Predicts Larger Infarcts and Hemorrhagic Transformation after Acute Ischemia. CNS Neurosci Ther 2016; 22:238-43. [PMID: 26775830 DOI: 10.1111/cns.12491] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 11/03/2015] [Accepted: 11/09/2015] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION Presence of white matter hyperintensity (WMH) on MRI is a marker of cerebral small vessel disease and is associated with increased small vessel stroke and increased risk of hemorrhagic transformation (HT) after thrombolysis. AIM We sought to determine whether white matter hypoperfusion (WMHP) on perfusion CT (CTP) was related to WMH, and if WMHP predisposed to acute lacunar stroke subtype and HT after thrombolysis. METHODS Acute ischemic stroke patients within 12 h of symptom onset at 2 centers were prospectively recruited between 2011 and 2013 for the International Stroke Perfusion Imaging Registry. Participants routinely underwent baseline CT imaging, including CTP, and follow-up imaging with MRI at 24 h. RESULTS Of 229 ischemic stroke patients, 108 were Caucasians and 121 Chinese. In the contralateral white matter, patients with acute lacunar stroke had lower cerebral blood flow (CBF) and cerebral blood volume (CBV), compared to those with other stroke subtypes (P = 0.041). There were 46 patients with HT, and WMHP was associated with increased risk of HT (R(2) = 0.417, P = 0.002). Compared to previously reported predictors of HT, WMHP performed better than infarct core volume (R(2) = 0.341, P = 0.034), very low CBV volume (R(2) = 0.249, P = 0.026), and severely delayed perfusion (Tmax>14 second R(2) = 0.372, P = 0.011). Patients with WMHP also had larger acute infarcts and increased infarct growth compared to those without WMHP (mean 28 mL vs. 13 mL P < 0.001). CONCLUSION White matter hypoperfusion remote to the acutely ischemic region on CTP is a marker of small vessel disease and was associated with increased HT, larger acute infarct cores, and greater infarct growth.
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Affiliation(s)
- Andrew Bivard
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Long-Ting Lin
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher Levi
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Neil Spratt
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Tim Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, NSW, Australia
| | - Billy O'Brien
- Department of Neurology, Gosford Hospital, Gosford, NSW, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Jing-Fen Zhang
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - P N Sylaja
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Wen-Jie Cao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jim Jannes
- Department of Neurology, The Queen Elizabeth Hospital, Adelaide, NSW, Australia
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mark Parsons
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
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Bivard A, Yassi N, Krishnamurthy V, Lin L, Levi C, Spratt NJ, Mittef F, Davis S, Parsons M. A comprehensive analysis of metabolic changes in the salvaged penumbra. Neuroradiology 2016; 58:409-15. [PMID: 26738878 DOI: 10.1007/s00234-015-1638-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 12/21/2015] [Indexed: 01/11/2023]
Abstract
INTRODUCTION We aimed to assess metabolite profiles in peri-infarct tissue with magnetic resonance spectroscopy (MRS) and correlate these with early and late clinical recovery. METHODS One hundred ten anterior circulation ischemic stroke patients presenting to hospital within 4.5 h of symptom onset and treated with intravenous thrombolysis were studied. Patients underwent computer tomography perfusion (CTP) scanning and subsequently 3-T magnetic resonance imaging (MRI) 24 h after stroke onset, including single-voxel, short-echo-time (30 ms) MRS, and diffusion- and perfusion-weighted imaging (DWI and PWI). MRS voxels were placed in the peri-infarct region in reperfused penumbral tissue. A control voxel was placed in the contralateral homologous area. RESULTS The concentrations of total creatine (5.39 vs 5.85 mM, p = 0.044) and N-acetylaspartic acid (NAA, 6.34 vs 7.13 mM ± 1.57, p < 0.001) were reduced in peri-infarct tissue compared to the matching contralateral region. Baseline National Institutes of Health Stroke Score was correlated with glutamate concentration in the reperfused penumbra at 24 h (r (2) = 0.167, p = 0.017). Higher total creatine was associated with better neurological outcome at 24 h (r (2) = 0.242, p = 0.004). Lower peri-infarct glutamate was a stronger predictor of worse 3-month clinical outcome (area under the curve (AUC) 0.89, p < 0.001) than DWI volume (AUC = 0.79, p < 0.001). CONCLUSION Decreased glutamate, creatine, and NAA concentrations are associated with poor neurological outcome at 24 h and greater disability at 3 months. The significant metabolic variation in salvaged tissue may potentially explain some of the variability seen in stroke recovery despite apparently successful reperfusion.
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Affiliation(s)
- Andrew Bivard
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Nawaf Yassi
- Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Venkatesh Krishnamurthy
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Longting Lin
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Christopher Levi
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Neil J Spratt
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Ferdi Mittef
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Stephen Davis
- Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Mark Parsons
- Department of Neurology, John Hunter Hospital, University of Newcastle, 1/Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
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Dzialowski I, Puetz V, Parsons M, von Kummer R. Computed Tomography-based Evaluation of Cerebrovascular Disease. Stroke 2016. [DOI: 10.1016/b978-0-323-29544-4.00047-5] [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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Comparing perfusion CT evaluation algorithms for predicting outcome after endovascular treatment in anterior circulation ischaemic stroke. Clin Radiol 2015; 70:e41-50. [PMID: 25766967 DOI: 10.1016/j.crad.2015.02.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2014] [Revised: 11/27/2014] [Accepted: 02/02/2015] [Indexed: 11/23/2022]
Abstract
AIM To analyse perfusion CT (PCT) evaluation algorithms for their predictive value for outcome after endovascular therapy (ET) in acute ischaemic stroke. MATERIALS AND METHODS Twenty-six patients were prospectively enrolled to undergo endovascular therapy for moderate to severe [National Institute of Health Stroke Scale (NIHSS) score of ≥5] anterior circulation stroke ≤6 h of onset. PCT datasets were evaluated according to three algorithms: visual mismatch estimate (VME), Alberta Stroke Programme Early CT Score (ASPECTS) perfusion, and quantitative perfusion ratios (QPRs: RCBF, RCBV) of cerebral blood flow (CBF) and volume (CBV). Results were correlated with outcome measures [NIHSS score at discharge, NIHSS score change until discharge (ΔNIHSSA/D), mRS at 90 days (mRS90d)] and compared with a matched control group. RESULTS Recanalization was achieved in 73%, median NIHSS score decreased from 14 to 5 at discharge. The treatment and control group did not differ by VME and ASPECTS perfusion, nor did VME correlate with any of the three outcome measures. ASPECTS perfusion was not predictive of any outcome measure in the ET group. RCBF and RCBV were associated with ΔNIHSSA/D in controls and, inversely, the ET group, but not with mRS90d. Receiver operating characteristic (ROC) analysis of RCBF (and RCBV) showed a positive predictive and negative predictive value of 87% (78%) and 74% (73%), respectively, for discriminating major neurological improvement (ΔNIHSSA/D <7 versus ≥7). CONCLUSIONS Implementation of QPRs for CBF and CBV are superior to clinically used VME and ASPECTS perfusion evaluation methods for predicting early outcome after ET for anterior circulation stroke.
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