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Mubarak F, Fatima H, Mustafa MS, Shafique MA, Abbas SR, Rangwala HS. Assessment Precision of CT Perfusion Imaging in the Detection of Acute Ischemic Stroke: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e44396. [PMID: 37791142 PMCID: PMC10542215 DOI: 10.7759/cureus.44396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2023] [Indexed: 10/05/2023] Open
Abstract
Stroke, a prevalent medical emergency, comprises ischemic and hemorrhagic subtypes, with acute ischemic stroke (AIS) being a predominant type. The application of computed tomography perfusion (CTP) imaging has gained prominence due to its rapidity and accessibility in stroke evaluation. This study systematically reviews and conducts a meta-analysis of existing literature to assess the diagnostic accuracy of CTP in detecting AIS and predicting hemorrhagic transformation (HT). Employing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, an extensive search was conducted across electronic databases and relevant radiology journals. Studies conducted between 2007 and 2023 that fulfilled predetermined inclusion criteria underwent quality assessment using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS 2) tool. Cochrane diagnostic accuracy tools were used for data extraction. Thirteen studies involving a total of 1014 patients were included in the analysis. The diagnostic performance of CTP in predicting HT demonstrated high sensitivity (86.7%) and moderate specificity (77.8%), resulting in an overall accuracy of 79.1%. The negative predictive value (NPV) was notably high (92.9%), signifying its efficacy in excluding patients at risk of HT. The positive predictive value (PPV) was comparatively lower (60.3%), highlighting the need for clinical context when making thrombolysis decisions. The false positive rate was 16.2%, while the false negative rate was minimal (9.8%). Subgroup analysis underscored consistent sensitivity and specificity across diverse imaging metrics. The findings of this study emphasize the promising diagnostic accuracy of CTP imaging in predicting HT subsequent to AIS. This non-invasive technique can aid treatment decisions and patient management strategies. By effectively assessing perfusion status and offering predictive insights, CTP imaging improves stroke intervention choices, especially in identifying patients with a lower risk of HT.
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Affiliation(s)
- Fatima Mubarak
- Department of Radiology, Aga Khan University Hospital, Karachi, PAK
| | - Hareer Fatima
- Department of Medicine, Jinnah Sindh Medical University, Karachi, PAK
| | | | | | - Syed Raza Abbas
- Department of Medicine, Dow University of Health Sciences, Karachi, PAK
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Xu J, Dai F, Wang B, Wang Y, Li J, Pan L, Liu J, Liu H, He S. Predictive Value of CT Perfusion in Hemorrhagic Transformation after Acute Ischemic Stroke: A Systematic Review and Meta-Analysis. Brain Sci 2023; 13. [PMID: 36672136 DOI: 10.3390/brainsci13010156] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/02/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Background: Existing studies indicate that some computed tomography perfusion (CTP) parameters may predict hemorrhagic transformation (HT) after acute ischemic stroke (AIS), but there is an inconsistency in the conclusions alongside a lack of comprehensive comparison. Objective: To comprehensively evaluate the predictive value of CTP parameters in HT after AIS. Data sources: A systematical literature review of existing studies was conducted up to 1st October 2022 in six mainstream databases that included original data on the CTP parameters of HT and non-HT groups or on the diagnostic performance of relative cerebral blood flow (rCBF), relative permeability-surface area product (rPS), or relative cerebral blood volume (rCBV) in patients with AIS that completed CTP within 24 h of onset. Data Synthesis: Eighteen observational studies were included. HT and non-HT groups had statistically significant differences in CBF, CBV, PS, rCBF, rCBV, and rPS (p < 0.05 for all). The hierarchical summary receiver operating characteristic (HSROC) revealed that rCBF (area under the curve (AUC) = 0.9), rPS (AUC = 0.89), and rCBV (AUC = 0.85) had moderate diagnostic performances in predicting HT. The pooled sensitivity and specificity of rCBF were 0.85 (95% CI, 0.75−0.91) and 0.83 (95% CI, 0.63−0.94), respectively. Conclusions: rCBF, rPS, and rCBV had moderate diagnostic performances in predicting HT, and rCBF had the best pooled sensitivity and specificity.
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Katyal A, Bhaskar SMM. Value of pre-intervention computed tomography perfusion imaging in the assessment of tissue outcome and long-term clinical prognosis in patients with anterior circulation acute ischemic stroke receiving reperfusion therapy: a systematic review. Acta Radiol 2022; 63:1243-1254. [PMID: 34342497 DOI: 10.1177/02841851211035892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Computed tomography perfusion (CTP) imaging has emerged as an important adjunct to the current armamentarium of acute ischemic stroke (AIS) workflow. However, its adoption in routine clinical practice is far from optimal. PURPOSE To investigate the putative association of CTP imaging biomarkers in the assessment of prognosis in acute ischemic stroke. MATERIAL AND METHODS We performed a systematic review of the literature using MEDLINE, EMBASE, and Cochrane Central Register of Clinical Trials focusing on CTP biomarkers, tissue-based and clinical-based patient outcomes. We included randomized controlled trials, prospective cohort studies, and case-controlled studies published from January 2005 to 28 August 2020. Two independent reviewers conducted the study appraisal, data extraction, and quality assessment of the studies. RESULTS A total of 60 full-text studies were included in the final systematic review analysis. Increasing infarct core volume is associated with reduced odds of achieving functional independence (modified Rankin score 0-2) at 90 days and is correlated with the final infarct volume when reperfusion is achieved. CONCLUSION CTP has value in assessing tissue perfusion status in the hyperacute stroke setting and the long-term clinical prognosis of patients with AIS receiving reperfusion therapy. However, the prognostic use of CTP requires optimization and further validation.
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Affiliation(s)
- Anubhav Katyal
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia.,University of New South Wales (UNSW), South West Sydney Clinical School, Sydney, NSW, Australia
| | - Sonu Menachem Maimonides Bhaskar
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia.,Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Department of Neurology & Neurophysiology, Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Pathology, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
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Hong L, Hsu TM, Zhang Y, Cheng X. Neuroimaging Prediction of Hemorrhagic Transformation for Acute Ischemic Stroke. Cerebrovasc Dis 2022; 51:542-552. [PMID: 35026765 DOI: 10.1159/000521150] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/20/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Hemorrhagic transformation (HT) is a common complication of acute ischemic stroke, often resulting from reperfusion therapy. Early prediction of HT can enable stroke neurologists to undertake measures to avoid clinical deterioration and make optimal treatment strategies. Moreover, the trend of extending the time window for reperfusion therapy (both for intravenous thrombolysis and endovascular treatment) further requires more precise detection of HT tendency. SUMMARY In this review, we summarized and discussed the neuroimaging markers of HT prediction of acute ischemic stroke patients, mainly focusing on neuroimaging markers of ischemic degree and neuroimaging markers of blood-brain barrier permeability. This review is aimed to provide a concise introduction of HT prediction and to elicit possibilities of future research combining advanced technology to improve the accessibility and accuracy of HT prediction under emergent clinical settings. Key Messages: Substantial studies have utilized neuroimaging, blood biomarkers, and clinical variables to predict HT occurrence. Although huge progress has been made, more individualized and precise HT prediction using simple and robust imaging predictors combining stroke onset time should be the future goal of development.
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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,
| | - Tzu-Ming Hsu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Yiran Zhang
- 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
| | - 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
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Yang DX, Li Y, Yu D, Guan B, Ming Q, Li Y, Chen LQ. Human urinary kallidinogenase combined with edaravone in treating acute ischemic stroke patients: A meta-analysis. Brain Behav 2021; 11:e2431. [PMID: 34808033 PMCID: PMC8671773 DOI: 10.1002/brb3.2431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/16/2021] [Accepted: 10/25/2021] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Several studies have investigated the efficacy of human urinary kallidinogenase (HUK) combined with edaravone (Eda) in acute ischemic stroke (AIS) patients. Our aim was to provide the best available evidence for clinical practice and further research programs for stroke treatment. METHODS We searched the online database for paper published between January 2015 and April 2021. We calculated weighted mean difference (WMD) or odds risk (OR) and their corresponding 95% confidence interval (95% CI) of reported outcomes between HUK plus Eda and Eda groups for each study. The random-effect models or fixed-effect models were used to pool the analysis. RESULTS Thirteen studies with 1242 patients were included. In the pooled analysis, the scores of NIHSS in the HUK plus Eda group were significantly lower than that in patients receiving Eda (WMD = -3.92, 95% CI (-4.82, -3.02), p < .0001). The ADL scores in the HUK plus Eda group were significantly greater than that in patients receiving Eda (WMD = 14.13, 95% CI (10.67, 17.60), p < .0001). Furthermore, HUK plus Eda was associated with a higher rate of total efficacy (OR = 3.97, 95% CI (2.81, 5.59), p < .0001). CONCLUSIONS HUK combined with Eda provides potential clinical benefits as a treatment for AIS. Further high-quality, large-scale randomized trials are needed to confirm these results.
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Affiliation(s)
- Di-Xiao Yang
- Department of Nursing Administration, Chengdu Fifth People's Hospital, Chengdu, China
| | - Yao Li
- Intensive Care Unit, Chengdu Fifth People's Hospital, Chengdu, China
| | - Dan Yu
- Department of Otorhinolaryngologic, Chengdu Fifth People's Hospital, Chengdu, China
| | - Bi Guan
- Department of Nursing Administration, Chengdu Fifth People's Hospital, Chengdu, China
| | - Qian Ming
- Department of Nursing Administration, Chengdu Fifth People's Hospital, Chengdu, China
| | - Yan Li
- Department of Nursing Administration, Chengdu Fifth People's Hospital, Chengdu, China
| | - Li-Qing Chen
- Department of Otorhinolaryngologic, Chengdu Fifth People's Hospital, Chengdu, China
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Chang X, Zhang X, Zhang G. Different Scores Predict the Value of Hemorrhagic Transformation after Intravenous Thrombolysis in Patients with Acute Ischemic Stroke. Evid Based Complement Alternat Med 2021; 2021:2468052. [PMID: 34721622 DOI: 10.1155/2021/2468052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 09/28/2021] [Indexed: 11/23/2022]
Abstract
Objective To evaluate the value of the Alberta stroke project early CT score (ASPECTS), DRAGON score, SEDAN score, and HAT score in predicting hemorrhagic transformation (HT) after intravenous thrombolysis in patients with acute ischemic stroke (AIS). Methods The clinical data of 248 AIS patients treated with intravenous thrombolysis in our hospital from December 2017 to December 2019 were analyzed. According to the prognosis, all patients were divided into the non-HT group (n = 200) and the HT group (n = 48). Univariate analysis and multivariate logistic regression models were used to analyze clinical data to determine the influencing factors of HT after intravenous thrombolysis in AIS patients. The receiver operating characteristic curve was used to evaluate the ASPECTS, DRAGON, SEDAN, and HAT scores to the value of predicting HT after intravenous thrombolysis in AIS patients. Results The lower the ASPECTS score and the higher the DRAGON, SEDAN, and HAT scores, the higher the incidence of HT after intravenous thrombolysis in AIS patients (P < 0.05). The results of multivariate logistic regression analysis showed that the patient's age, atrial fibrillation, baseline NIHSS score, early signs of infarction on admission with head CT, time from onset to thrombolytic therapy, and thrombolytic drugs were all independent factors affecting intravenous thrombolysis in AIS patients (P < 0.05). The area under the curve (AUC) of the predictive value of ASPECTS for HT is 0.895 (95% CI 0.813–0.977). When the optimal cutoff value is 0.607, the sensitivity is 100% and the specificity is 60.7%. The AUC of the predictive value of DRAGON for HT is 0.877 (95% CI 0.790–0.964). When the optimal cutoff value is 0.665, the sensitivity is 84.4% and the specificity is 82.1%. The AUC of the predictive value of SEDAN for HT is 0.764 (95% CI 0.638–0.890). When the optimal cutoff value is 0.474, the sensitivity is 78.6% and the specificity is 68.8%. The AUC of the predictive value of HAT for HT is 0.777 (95% CI 0.651–0.903). When the optimal cutoff value is 0.509, the sensitivity is 68.8% and the specificity is 82.1%. Conclusion The lower the ASPECTS score and the higher the DRAGON, SEDAN, and HAT scores, the higher the incidence of HT in AIS patients. The patient's age, atrial fibrillation, baseline NIHSS score, early signs of infarction on admission with head CT, time from onset to thrombolytic therapy, and thrombolytic drugs are all independent factors affecting HT in AIS patients. The scores of ASPECTS, DRAGON, SEDAN and HAT have certain value in predicting HT after intravenous thrombolysis in AIS patients, and the predicted value of ASPECTS score is the best.
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Arba F, Rinaldi C, Caimano D, Vit F, Busto G, Fainardi E. Blood-Brain Barrier Disruption and Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis. Front Neurol 2021; 11:594613. [PMID: 33551955 PMCID: PMC7859439 DOI: 10.3389/fneur.2020.594613] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 12/07/2020] [Indexed: 01/17/2023] Open
Abstract
Introduction: Hemorrhagic transformation (HT) is a complication of reperfusion therapy for acute ischemic stroke. Blood–brain barrier (BBB) disruption is a crucial step toward HT; however, in clinical studies, there is still uncertainty about this relation. Hence, we conducted a systematic review and meta-analysis to summarize the current evidence. Methods: We performed systematic review and meta-analysis of observational studies from January 1990 to March 2020 about the relation between BBB disruption and HT in patients with acute ischemic stroke with both computed tomography (CT) and magnetic resonance (MR) assessment of BBB. The outcome of interest was HT at follow-up imaging evaluation (within 48 h from symptom onset). We pooled data from available univariate odds ratios (ORs) in random-effects models with DerSimonian–Laird weights and extracted cumulative ORs. Results: We included 30 eligible studies (14 with CT and 16 with MR), N = 2,609 patients, with 88% and 70% of patients included in CT and MR studies treated with acute stroke therapy, respectively. The majority of studies were retrospective and had high or unclear risk of bias. BBB disruption was measured with consistent methodology in CT studies, whereas in MR studies, there was more variability. All CT studies provided a BBB disruption cutoff predictive of HT. Four CT and 10 MR studies were included in the quantitative analysis. We found that BBB disruption was associated with HT with both CT (OR = 3.42; 95%CI = 1.62–7.23) and MR (OR = 9.34; 95%CI = 3.16–27.59). There was a likely publication bias particularly for MR studies. Conclusion: Our results confirm that BBB disruption is associated with HT in both CT and MR studies. Compared with MR, CT has been more uniformly applied in the literature and has resulted in more consistent results. However, more efforts are needed for harmonization of protocols and methodology for implementation of BBB disruption as a neuroradiological marker in clinical practice.
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Affiliation(s)
| | - Chiara Rinaldi
- NEUROFARBA Department, University of Florence, Florence, Italy
| | - Danilo Caimano
- NEUROFARBA Department, University of Florence, Florence, Italy
| | - Federica Vit
- NEUROFARBA Department, University of Florence, Florence, Italy
| | | | - Enrico Fainardi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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Adebayo OD, Culpan G. Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: A systematic review and meta-analysis. Eur Stroke J 2019; 5:4-16. [PMID: 32232165 DOI: 10.1177/2396987319883461] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/23/2019] [Indexed: 01/23/2023] Open
Abstract
Purpose The aim of this systematic review and meta-analysis is to determine the diagnostic accuracy of computed tomography brain perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke. Method Electronic databases and grey literature published over the last 10 years related to healthcare and radiology were searched using the key terms: 'computed tomography perfusion', 'haemorrhagic transformation', 'acute ischaemic stroke', 'functional outcome' and their synonyms using both UK and American spellings. Inclusion criteria were: sample size at least 30 patients, original research, evaluate ability of computed tomography perfusion to predict haemorrhagic transformation, reports diagnostic accuracy or provide relevant data for a 2 × 2 contingency table, use follow-up non-contrast computed tomography (NCCT) or magnetic resonance imaging as reference standard. Findings Twelve studies were included in the review; studies cover a total of 808 patients. Haemorrhagic transformation occurred in 30.2% of patients. Pooled sensitivity and specificity were 85.9% (95% CI; 65-97%), 73.9% (95% CI; 45-92%) and accuracy of 79.1% (95% CI; 57-98%). Pooled NPV was 92.9% with a high false positive rate (19.8%), which could be explained in terms of outcome classification, acquisition artefact and computed tomography perfusion processing algorithms. Discussion This review evaluated the importance of using pre-defined threshold measurement for optimal prediction of HT, the relevance of patient pre-treatment clinical parameters to HT occurrence, the CTP parameters and the measurements that are independent predictors of HT, the significance of rtPA rather as an exacerbator of HT and the impact of both minor and major HT/PH on patient 20 functional outcome. Conclusion Computed tomography perfusion has a high sensitivity and moderately high specificity for prediction of haemorrhagic transformation in acute ischaemic stroke. Pre-treatment clinical decision making requires consideration of clinical factors in addition to imaging findings. This systematic review and meta-analysis highlights that pre-treatment computed tomography perfusion adds to clinical confidence by predicting potential for haemorrhage, both in thrombolysed and un-thrombolysed patients, and also influences decisions about alternative treatments for acute ischaemic stroke patients.
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Affiliation(s)
- Olushola D Adebayo
- Mercy University Hospital Cork, Cork, Republic of Ireland
- Faculty of Health Sciences, University of Bradford, Bradford, UK
| | - Gary Culpan
- Faculty of Health Sciences, University of Bradford, Bradford, UK
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Mulder IA, Holswilder G, van Walderveen MAA, van der Schaaf IC, Bennink E, Horsch AD, Kappelle LJ, Velthuis BK, Dankbaar JW, Terwindt GM, Schonewille WJ, Visser MC, Ferrari MD, Algra A, Wermer MJH. Stroke progression and clinical outcome in ischemic stroke patients with a history of migraine. Int J Stroke 2019; 14:946-955. [DOI: 10.1177/1747493019851288] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Patients with migraine might be more susceptible of spreading depolarizations, which are known to affect vascular and neuronal function and penumbra recovery after stroke. We investigated whether these patients have more severe stroke progression and less favorable outcomes after recanalization therapy. Methods We included patients from a prospective multicenter ischemic stroke cohort. Lifetime migraine history was based on the International Classification of Headache Disorders II criteria. Patients without confirmed migraine diagnosis were excluded. Patients underwent CT angiography and CT perfusion <9 h of onset and follow-up CT after three days. On admission, presence of a perfusion deficit, infarct core and penumbra volume, and blood brain barrier permeability (BBBP) were assessed. At follow-up we assessed malignant edema, hemorrhagic transformation, and final infarct volume. Outcome at three months was evaluated with the modified Rankin Scale (mRS). We calculated adjusted relative risks (aRR) or difference of means (aB) with regression analyses. Results We included 600 patients of whom 43 had migraine. There were no differences between patients with or without migraine in presence of a perfusion deficit on admission (aRR: 0.98, 95%CI: 0.77–1.25), infarct core volume (aB: -10.8, 95%CI: -27.04–5.51), penumbra volume (aB: -11.6, 95%CI: -26.52–3.38), mean blood brain barrier permeability (aB: 0.08, 95%CI: -3.11–2.96), malignant edema (0% vs. 5%), hemorrhagic transformation (aRR: 0.26, 95%CI: 0.04–1.73), final infarct volume (aB: -14.8, 95%CI: 29.9–0.2) or outcome after recanalization therapy (mRS > 2, aRR: 0.50, 95%CI: 0.21–1.22). Conclusion Elderly patients with a history of migraine do not seem to have more severe stroke progression and have similar treatment outcomes compared with patients without migraine.
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Affiliation(s)
- Inge A Mulder
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ghislaine Holswilder
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | | | - Edwin Bennink
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alexander D Horsch
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - L Jaap Kappelle
- Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan Willem Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Marieke C Visser
- Department of Neurology, VU Medical Center, Amsterdam, the Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ale Algra
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Marieke JH Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
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Suh CH, Jung SC, Cho SJ, Kim D, Lee JB, Woo DC, Oh WY, Lee JG, Kim KW. Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis. Eur Radiol 2019; 29:4077-4087. [PMID: 30617485 DOI: 10.1007/s00330-018-5936-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 11/13/2018] [Accepted: 11/29/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke. METHODS A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included acute ischemic stroke, hemorrhagic transformation, and perfusion CT. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed. RESULTS Fifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71-91%) and 74% (95% CI, 67-81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81-0.87). The Higgins I2 statistic demonstrated that heterogeneity was present in the sensitivity (I2 = 80.21%) and specificity (I2 = 85.94%). CONCLUSION Although various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke. KEY POINTS • High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation. • Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke. • The pooled sensitivity was 84%, and the pooled specificity was 74%.
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Affiliation(s)
- Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Seung Chai Jung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
| | - Se Jin Cho
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Donghyun Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jung Bin Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Dong-Cheol Woo
- Bioimaging Center, Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Woo Yong Oh
- Clinical Research Division, National Institute of Food and Drug Safety Evaluation, MFDS, Cheongju, Republic of Korea
| | - Jong Gu Lee
- Clinical Research Division, National Institute of Food and Drug Safety Evaluation, MFDS, Cheongju, Republic of Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.,Asan Image Metrics, Clinical Trial Center, Asan Institute for Life Sciences, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
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Horsch AD, Bennink E, van Seeters T, Kappelle LJ, van der Graaf Y, Mali WPTM, de Jong HWAM, Velthuis BK, Dankbaar JW. Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation. Cerebrovasc Dis 2018; 45:26-32. [PMID: 29402765 DOI: 10.1159/000485043] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Accepted: 11/03/2017] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Hemorrhagic transformation (HT) in acute ischemic stroke can occur as a result of reperfusion treatment. While withholding treatment may be warranted in patients with increased risk of HT, prediction of HT remains difficult. Nonlinear regression analysis can be used to estimate blood-brain barrier permeability (BBBP). The aim of this study was to identify a combination of clinical and imaging variables, including BBBP estimations, that can predict HT. MATERIALS AND METHODS From the Dutch acute stroke study, 545 patients treated with intravenous recombinant tissue plasminogen activator and/or intra-arterial treatment were selected, with available admission extended computed tomography (CT) perfusion and follow-up imaging. Patient admission treatment characteristics and CT imaging parameters regarding occlusion site, stroke severity, and BBBP were recorded. HT was assessed on day 3 follow-up imaging. The association between potential predictors and HT was analyzed using univariate and multivariate logistic regression. To compare the added value of BBBP, areas under the curve (AUCs) were created from 2 models, with and without BBBP. RESULTS HT occurred in 57 patients (10%). In univariate analysis, older age (OR 1.03, 95% CI 1.006-1.05), higher admission National Institutes of Health Stroke Scale (NIHSS; OR 1.13, 95% CI 1.08-1.18), higher clot burden (OR 1.28, 95% CI 1.16-1.41), poor collateral score (OR 3.49, 95% CI 1.85-6.58), larger Alberta Stroke Program Early CT Score cerebral blood volume deficit size (OR 1.26, 95% CI 1.14-1.38), and increased BBBP (OR 2.22, 95% CI 1.46-3.37) were associated with HT. In multivariate analysis with age and admission NIHSS, the addition of BBBP did not improve the AUC compared to both independent predictors alone (AUC 0.77, 95% CI 0.71-0.83). CONCLUSION BBBP predicts HT but does not improve prediction with age and admission NIHSS.
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Affiliation(s)
- Alexander D Horsch
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Edwin Bennink
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tom van Seeters
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Utrecht Stroke Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Willem P T M Mali
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hugo W A M de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan Willem Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
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Puig J, Blasco G, Daunis-I-Estadella P, van Eendendburg C, Carrillo-García M, Aboud C, Hernández-Pérez M, Serena J, Biarnés C, Nael K, Liebeskind DS, Thomalla G, Menon BK, Demchuk A, Wintermark M, Pedraza S, Castellanos M. High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke. PLoS One 2017; 12:e0188238. [PMID: 29182658 DOI: 10.1371/journal.pone.0188238] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 11/05/2017] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE Blood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain. We aimed to determine the performance of high-permeability region size on PCT (HPrs-PCT) in predicting HT after intravenous tPA administration in patients with acute stroke. METHODS We performed a multimodal CT protocol (non-contrast CT, PCT, CT angiography) to prospectively study patients with middle cerebral artery occlusion treated with tPA within 4.5 hours of symptom onset. HT was graded at 24 hours using the European-Australasian Acute Stroke Study II criteria. ROC curves selected optimal volume threshold, and multivariate logistic regression analysis identified predictors of HT. RESULTS The study included 156 patients (50% male, median age 75.5 years). Thirty-seven (23,7%) developed HT [12 (7,7%), parenchymal hematoma type 2 (PH-2)]. At admission, patients with HT had lower platelet values, higher NIHSS scores, increased ischemic lesion volumes, larger HPrs-PCT, and poorer collateral status. The negative predictive value of HPrs-PCT at a threshold of 7mL/100g/min was 0.84 for HT and 0.93 for PH-2. The multiple regression analysis selected HPrs-PCT at 7mL/100g/min combined with platelets and baseline NIHSS score as the best model for predicting HT (AUC 0.77). HPrs-PCT at 7mL/100g/min was the only independent predictor of PH-2 (OR 1, AUC 0.68, p = 0.045). CONCLUSIONS HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.
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Kunz WG, Sommer WH, Höhne C, Fabritius MP, Schuler F, Dorn F, Othman AE, Meinel FG, von Baumgarten L, Reiser MF, Ertl-Wagner B, Thierfelder KM. Crossed cerebellar diaschisis in acute ischemic stroke: Impact on morphologic and functional outcome. J Cereb Blood Flow Metab 2017; 37:3615-3624. [PMID: 28084869 PMCID: PMC5669343 DOI: 10.1177/0271678x16686594] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Crossed cerebellar diaschisis (CCD) is the phenomenon of hypoperfusion and hypometabolism of the contralateral cerebellar hemisphere caused by dysfunction of the related supratentorial region. Our aim was to analyze its influence on morphologic and functional outcome in acute ischemic stroke. Subjects with stroke caused by a large vessel occlusion of the anterior circulation were selected from an initial cohort of 1644 consecutive patients who underwent multiparametric CT including whole-brain CT perfusion. Two experienced readers evaluated the posterior fossa in terms of CCD absence (CCD-) or presence (CCD+). A total of 156 patients formed the study cohort with 102 patients (65.4%) categorized as CCD- and 54 (34.6%) as CCD+. In linear and logistic regression analyses, no significant association between CCD and final infarction volume (β = -0.440, p = 0.972), discharge mRS ≤ 2 (OR = 1.897, p = 0.320), or 90-day mRS ≤ 2 (OR = 0.531, p = 0.492) was detected. CCD+ patients had larger supratentorial cerebral blood flow deficits (median: 164 ml vs. 115 ml; p = 0.001) compared to CCD-patients. Regarding complications, CCD was associated with a higher rate of parenchymal hematomas (OR = 4.793, p = 0.035). In conclusion, CCD is frequently encountered in acute ischemic stroke caused by large vessel occlusion of the anterior circulation. CCD was associated with the occurrence of parenchymal hematoma in the ipsilateral cerebral infarction but did not prove to significantly influence patient outcome.
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Affiliation(s)
- Wolfgang G Kunz
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Wieland H Sommer
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Christopher Höhne
- 2 Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Matthias P Fabritius
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Felix Schuler
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Franziska Dorn
- 3 Department of Neuroradiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Ahmed E Othman
- 4 Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen, Germany
| | - Felix G Meinel
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Louisa von Baumgarten
- 2 Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F Reiser
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Birgit Ertl-Wagner
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Kolja M Thierfelder
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
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Li Q, Gao X, Yao Z, Feng X, He H, Xue J, Gao P, Yang L, Cheng X, Chen W, Yang Y. Permeability Surface of Deep Middle Cerebral Artery Territory on Computed Tomographic Perfusion Predicts Hemorrhagic Transformation After Stroke. Stroke 2017; 48:2412-2418. [PMID: 28775139 DOI: 10.1161/strokeaha.117.017486] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/22/2017] [Accepted: 07/10/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Permeability surface (PS) on computed tomographic perfusion reflects blood-brain barrier permeability and is related to hemorrhagic transformation (HT). HT of deep middle cerebral artery (MCA) territory can occur after recanalization of proximal large-vessel occlusion. We aimed to determine the relationship between HT and PS of deep MCA territory. METHODS We retrospectively reviewed 70 consecutive acute ischemic stroke patients presenting with occlusion of the distal internal carotid artery or M1 segment of the MCA. All patients underwent computed tomographic perfusion within 6 hours after symptom onset. Computed tomographic perfusion data were postprocessed to generate maps of different perfusion parameters. Risk factors were identified for increased deep MCA territory PS. Receiver operating characteristic curve analysis was performed to calculate the optimal PS threshold to predict HT of deep MCA territory. RESULTS Increased PS was associated with HT of deep MCA territory. After adjustments for age, sex, onset time to computed tomographic perfusion, and baseline National Institutes of Health Stroke Scale, poor collateral status (odds ratio, 7.8; 95% confidence interval, 1.67-37.14; P=0.009) and proximal MCA-M1 occlusion (odds ratio, 4.12; 95% confidence interval, 1.03-16.52; P=0.045) were independently associated with increased deep MCA territory PS. Relative PS most accurately predicted HT of deep MCA territory (area under curve, 0.94; optimal threshold, 2.89). CONCLUSIONS Increased PS can predict HT of deep MCA territory after recanalization therapy for cerebral proximal large-vessel occlusion. Proximal MCA-M1 complete occlusion and distal internal carotid artery occlusion in conjunction with poor collaterals elevate deep MCA territory PS.
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Affiliation(s)
- Qiao Li
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Xinyi Gao
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Zhenwei Yao
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Xiaoyuan Feng
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Huijin He
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.).
| | - Jing Xue
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Peiyi Gao
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Lumeng Yang
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Xin Cheng
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Weijian Chen
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
| | - Yunjun Yang
- From the Departments of Radiology (Q.L., X.G., Z.Y., X.F., H.H.) and Neurology (L.Y., X.C.), Huashan Hospital, Fudan University, Shanghai, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (J.X., P.G.); Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, China (W.C., Y.Y.)
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Bennink E, Oosterbroek J, Kudo K, Viergever MA, Velthuis BK, de Jong HWAM. Fast nonlinear regression method for CT brain perfusion analysis. J Med Imaging (Bellingham) 2016; 3:026003. [PMID: 27413770 DOI: 10.1117/1.jmi.3.2.026003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 05/26/2016] [Indexed: 11/14/2022] Open
Abstract
Although computed tomography (CT) perfusion (CTP) imaging enables rapid diagnosis and prognosis of ischemic stroke, current CTP analysis methods have several shortcomings. We propose a fast nonlinear regression method with a box-shaped model (boxNLR) that has important advantages over the current state-of-the-art method, block-circulant singular value decomposition (bSVD). These advantages include improved robustness to attenuation curve truncation, extensibility, and unified estimation of perfusion parameters. The method is compared with bSVD and with a commercial SVD-based method. The three methods were quantitatively evaluated by means of a digital perfusion phantom, described by Kudo et al. and qualitatively with the aid of 50 clinical CTP scans. All three methods yielded high Pearson correlation coefficients ([Formula: see text]) with the ground truth in the phantom. The boxNLR perfusion maps of the clinical scans showed higher correlation with bSVD than the perfusion maps from the commercial method. Furthermore, it was shown that boxNLR estimates are robust to noise, truncation, and tracer delay. The proposed method provides a fast and reliable way of estimating perfusion parameters from CTP scans. This suggests it could be a viable alternative to current commercial and academic methods.
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Affiliation(s)
- Edwin Bennink
- University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; University Medical Center Utrecht, Image Sciences Institute, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Jaap Oosterbroek
- University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; University Medical Center Utrecht, Image Sciences Institute, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Kohsuke Kudo
- Hokkaido University Hospital , Department of Diagnostic and Interventional Radiology, N14 W5, Kita-ku, Sapporo 060-8648, Japan
| | - Max A Viergever
- University Medical Center Utrecht , Image Sciences Institute, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- University Medical Center Utrecht , Department of Radiology, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Hugo W A M de Jong
- University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; University Medical Center Utrecht, Image Sciences Institute, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
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Yip HK, Yuen CM, Chen KH, Chai HT, Chung SY, Tong MS, Chen SY, Kao GS, Chen CH, Chen YL, Huang TH, Sun CK, Lee MS. Tissue plasminogen activator deficiency preserves neurological function and protects against murine acute ischemic stroke. Int J Cardiol 2016; 205:133-41. [PMID: 26736088 DOI: 10.1016/j.ijcard.2015.11.168] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 11/05/2015] [Accepted: 11/22/2015] [Indexed: 12/17/2022]
Abstract
BACKGROUND We tested the hypothesis that tissue plasminogen activator (tPA) deficiency protected against acute ischemic stroke (AIS)-induced brain injury. METHODS AND RESULTS Wild-type mice (n=54) were categorized into group 1 (sham control, n=18) and group 3 [AIS by permanent ligation of left common carotid artery (CCA) and cramping right CCA for 1h and then reperfusion followed by hypoxia (11% of oxygen supply for 2h), n=36]. Similarly, tPA knockout (tPA(-/-)) mice (n=54) were randomized into group 2 (sham control, n=18) and group 4 (AIS, n=36). By day 28 after AIS procedure, mortality rate was higher in group 3 (77.8%) than in group 4 (38.9%) and lowest in groups 1 (0%) and 2 (0%) (p<0.001). By days 3 and 28, MRI demonstrated a pattern of changes in brain-infarct volume identical to that of mortality among four groups (p<0.001). By day 28, protein expressions of inflammatory (MMP-9, TNF-α, NF-κB, iNOS, PAI-1, RANTES), oxidative (NOX-1, NOX-2, oxidized protein), apoptotic (cleaved caspase-3 & PARP, Bax), and fibrotic (Smad3, TGF-β) biomarkers and cellular expressions of inflammation (CD11, F4/80, GFAP), DNA-damage (γ-H2AX) and brain-edema (AQP4) markers exhibited an identical pattern compared to that of mortality (all p<0.001), whereas protein expressions of endothelial (eNOS, CD31), anti-fibrotic (Smad1/5, BMP-2) biomarkers, and number of small vessels displayed an opposite pattern (all p<0.001) among four groups. Expressions of protein and cellular angiogenesis markers (VEGF, SDF-1α, CXCR4) were progressively increased from groups 1 and 2 to group 4 (all p<0.0001). CONCLUSION tPA deficiency protected the brain from AIS injury.
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