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Harloff A, Blazhenets G, Fostitsch J, Strecker C, Dersch R, Mayerhofer E, Meyer PT. Effect of cerebral sinus venous thrombosis and its location on cerebral blood flow: a [ 15O]water PET study in acute stroke patients compared to healthy volunteers. EJNMMI Res 2024; 14:116. [PMID: 39572471 PMCID: PMC11582296 DOI: 10.1186/s13550-024-01180-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 11/09/2024] [Indexed: 11/24/2024] Open
Abstract
BACKGROUND Symptoms in acute cerebral sinus venous thrombosis (CSVT) are highly variable, ranging from headaches to fatal stroke, and the basis for this high inter-individual variability is poorly understood. The present study aimed to assess whether acute CSVT significantly alters regional cerebral blood flow (CBF), if findings differ from CBF patterns know from large-artery occlusion in stroke, and whether the pattern of CBF alterations depends on clot location. Therefore, we retrospectively analyzed 12 patients with acute CSVT 10.6 ± 4.6 days after symptom onset and ten healthy volunteers who underwent [15O]water PET (two scans each, 300 ± 14 MBq [15O]water). Static image datasets (15-75 s after injection; normalized to cerebellum) reflecting relative CBF (rCBF) were analyzed using voxel- and region-of-interest-based analysis (AAL3-atlas). We mirrored datasets of patients with left-sided CSVT to harmonize the affected hemisphere. RESULTS Seven and five patients showed right- and left-sided CSVT, respectively. The superior sagittal sinus (SSS) was involved in 8/12 patients. CSVT patients had extensive rCBF deficits in the voxel-based analysis with accentuation in the right (ipsilateral) frontal cortex and caudate nucleus compared to controls, which were most pronounced in cortical areas in those with involvement of the SSS (8/12), and in subcortical areas in those without involvement of the SSS (4/12; p < 0.05, false discovery rate corrected). ROI-analysis demonstrated significant frontal (p = 0.01) and caudate nucleus (p = 0.008) rCBF deficits driven by patients with and without SSS occlusion, respectively. CONCLUSIONS [15O]water PET was able to visualize characteristic patterns of impaired rCBF, which were different from intracranial large-artery occlusion in acute ischemic stroke, and exhibited substantial rCBF alterations depending on the involvement of the SSS. Our findings provide novel insights into the effects of disturbed venous drainage on CBF in acute CSVT, which may aid in understanding the pathophysiology, and guide future therapy of acute CSVT.
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Affiliation(s)
- Andreas Harloff
- Department of Neurology and Neurophysiology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacherstr. 64, 79106, Freiburg, Germany.
| | - Ganna Blazhenets
- Department of Nuclear Medicine, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Johannes Fostitsch
- Department of Nuclear Medicine, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Christoph Strecker
- Department of Neurology and Neurophysiology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacherstr. 64, 79106, Freiburg, Germany
| | - Rick Dersch
- Department of Neurology and Neurophysiology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacherstr. 64, 79106, Freiburg, Germany
| | - Ernst Mayerhofer
- Department of Neurology and Neurophysiology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacherstr. 64, 79106, Freiburg, Germany
| | - Philipp T Meyer
- Department of Nuclear Medicine, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany
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Yi JS, Ki HJ, Jeon YS, Park JJ, Lee TJ, Kwak JT, Lee SB, Lee HJ, Kim IS, Kim JH, Lee JS, Roh HG, Kim HJ. The collateral map: prediction of lesion growth and penumbra after acute anterior circulation ischemic stroke. Eur Radiol 2024; 34:1411-1421. [PMID: 37646808 PMCID: PMC10873223 DOI: 10.1007/s00330-023-10084-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/03/2023] [Accepted: 07/15/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVES This study evaluated the collateral map's ability to predict lesion growth and penumbra after acute anterior circulation ischemic strokes. METHODS This was a retrospective analysis of selected data from a prospectively collected database. The lesion growth ratio was the ratio of the follow-up lesion volume to the baseline lesion volume on diffusion-weighted imaging (DWI). The time-to-maximum (Tmax)/DWI ratio was the ratio of the baseline Tmax > 6 s volume to the baseline lesion volume. The collateral ratio was the ratio of the hypoperfused lesion volume of the phase_FU (phase with the hypoperfused lesions most approximate to the follow-up DWI lesion) to the hypoperfused lesion volume of the phase_baseline of the collateral map. Multiple logistic regression analyses were conducted to identify independent predictors of lesion growth. The concordance correlation coefficients of Tmax/DWI ratio and collateral ratio for lesion growth ratio were analyzed. RESULTS Fifty-two patients, including twenty-six males (mean age, 74 years), were included. Intermediate (OR, 1234.5; p < 0.001) and poor collateral perfusion grades (OR, 664.7; p = 0.006) were independently associated with lesion growth. Phase_FUs were immediately preceded phases of the phase_baselines in intermediate or poor collateral perfusion grades. The concordance correlation coefficients of the Tmax/DWI ratio and collateral ratio for the lesion growth ratio were 0.28 (95% CI, 0.17-0.38) and 0.88 (95% CI, 0.82-0.92), respectively. CONCLUSION Precise prediction of lesion growth and penumbra can be possible using collateral maps, allowing for personalized application of recanalization treatments. Further studies are needed to generalize the findings of this study. CLINICAL RELEVANCE STATEMENT Precise prediction of lesion growth and penumbra can be possible using collateral maps, allowing for personalized application of recanalization treatments. KEY POINTS • Cell viability in cerebral ischemia due to proximal arterial steno-occlusion mainly depends on the collateral circulation. • The collateral map shows salvageable brain extent, which can survive by recanalization treatments after acute anterior circulation ischemic stroke. • Precise estimation of salvageable brain makes it possible to make patient-specific treatment decision.
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Affiliation(s)
- Jin Seok Yi
- Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Hee Jong Ki
- Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Yoo Sung Jeon
- Department of Neurosurgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Jeong Jin Park
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
- Department of Neurosurgery, Kangwon National University College of Medicine, Chuncheon, Republic of Korea
| | - Taek-Jun Lee
- Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Jin Tae Kwak
- School of Electrical Engineering, Korea University, Seoul, Republic of Korea
| | - Sang Bong Lee
- Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Hyung Jin Lee
- Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - In Seong Kim
- Siemens Healthineers Ltd., Seoul, Republic of Korea
| | - Joo Hyun Kim
- Philips Healthcare Korea, Seoul, Republic of Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hong Gee Roh
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, 120-1 Neungdong-Ro, Kwangjin-Gu, Seoul, 05030, Republic of Korea.
| | - Hyun Jeong Kim
- Department of Radiology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 64 Daeheung-Ro, Jung-Gu, Daejeon, 34943, Republic of Korea.
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Gomez A, Sainbhi AS, Froese L, Batson C, Slack T, Stein KY, Cordingley DM, Mathieu F, Zeiler FA. The Quantitative Associations Between Near Infrared Spectroscopic Cerebrovascular Metrics and Cerebral Blood Flow: A Scoping Review of the Human and Animal Literature. Front Physiol 2022; 13:934731. [PMID: 35910568 PMCID: PMC9335366 DOI: 10.3389/fphys.2022.934731] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
Cerebral blood flow (CBF) is an important physiologic parameter that is vital for proper cerebral function and recovery. Current widely accepted methods of measuring CBF are cumbersome, invasive, or have poor spatial or temporal resolution. Near infrared spectroscopy (NIRS) based measures of cerebrovascular physiology may provide a means of non-invasively, topographically, and continuously measuring CBF. We performed a systematically conducted scoping review of the available literature examining the quantitative relationship between NIRS-based cerebrovascular metrics and CBF. We found that continuous-wave NIRS (CW-NIRS) was the most examined modality with dynamic contrast enhanced NIRS (DCE-NIRS) being the next most common. Fewer studies assessed diffuse correlation spectroscopy (DCS) and frequency resolved NIRS (FR-NIRS). We did not find studies examining the relationship between time-resolved NIRS (TR-NIRS) based metrics and CBF. Studies were most frequently conducted in humans and animal studies mostly utilized large animal models. The identified studies almost exclusively used a Pearson correlation analysis. Much of the literature supported a positive linear relationship between changes in CW-NIRS based metrics, particularly regional cerebral oxygen saturation (rSO2), and changes in CBF. Linear relationships were also identified between other NIRS based modalities and CBF, however, further validation is needed.
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Affiliation(s)
- Alwyn Gomez
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Amanjyot Singh Sainbhi
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Logan Froese
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Carleen Batson
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Trevor Slack
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Kevin Y. Stein
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Dean M. Cordingley
- Applied Health Sciences Program, University of Manitoba, Winnipeg, MB, Canada
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
| | - Francois Mathieu
- Interdepartmental Division of Critical Care, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Frederick A. Zeiler
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Centre on Aging, University of Manitoba, Winnipeg, MB, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, MA, United Kingdom
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Kim HJ, Roh HG. Imaging in Acute Anterior Circulation Ischemic Stroke: Current and Future. Neurointervention 2022; 17:2-17. [PMID: 35114749 PMCID: PMC8891584 DOI: 10.5469/neuroint.2021.00465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/25/2021] [Accepted: 12/30/2021] [Indexed: 11/24/2022] Open
Abstract
Clinical trials on acute ischemic stroke have demonstrated the clinical effectiveness of revascularization treatments within an appropriate time window after stroke onset: intravenous thrombolysis (NINDS and ECASS-III) through the administration of tissue plasminogen activator within a 4.5-hour time window, endovascular thrombectomy (ESCAPE, REVASCAT, SWIFT-PRIME, MR CLEAN, EXTEND-IA) within a 6-hour time window, and extending the treatment time window up to 24 hours for endovascular thrombectomy (DAWN and DEFUSE 3). However, a substantial number of patients in these trials were ineligible for revascularization treatment, and treatments of some patients were considerably futile or sometimes dangerous in the clinical trials. Guidelines for the early management of patients with acute ischemic stroke have evolved to accept revascularization treatment as standard and include eligibility criteria for the treatment. Imaging has been crucial in selecting eligible patients for revascularization treatment in guidelines and clinical trials. Stroke specialists should know imaging criteria for revascularization treatment. Stroke imaging studies have demonstrated imaging roles in acute ischemic stroke management as follows: 1) exclusion of hemorrhage and stroke mimic disease, 2) assessment of salvageable brain, 3) localization of the site of vascular occlusion and thrombus, 4) estimation of collateral circulation, and 5) prediction of acute ischemic stroke expecting hemorrhagic transformation. Here, we review imaging methods and criteria to select eligible patients for revascularization treatment in acute anterior circulation stroke, focus on 2019 guidelines from the American Heart Association/American Stroke Association, and discuss the future direction of imaging-based patient selection to improve treatment effects.
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Affiliation(s)
- Hyun Jeong Kim
- Department of Radiology, Daejeon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea
| | - Hong Gee Roh
- Department of Radiology, Konkuk University Medical Center, Seoul, Korea
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Baron JC. The core/penumbra model: implications for acute stroke treatment and patient selection in 2021. Eur J Neurol 2021; 28:2794-2803. [PMID: 33991152 DOI: 10.1111/ene.14916] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/10/2021] [Accepted: 05/10/2021] [Indexed: 12/30/2022]
Abstract
Despite major advances in prevention, ischaemic stroke remains one of the leading causes of death and disability worldwide. After centuries of nihilism and decades of failed neuroprotection trials, the discovery, initially in non-human primates and subsequently in man, that ischaemic brain tissue termed the ischaemic penumbra can be salvaged from infarction up to and perhaps beyond 24 h after stroke onset has underpinned the development of highly efficient reperfusion therapies, namely intravenous thrombolysis and endovascular thrombectomy, which have revolutionized the management of the acute stroke patient. Animal experiments have documented that how long the penumbra can survive depends not only on time elapsed since arterial occlusion ('time is brain'), but also on how severely perfusion is reduced. Novel imaging techniques allowing the penumbra and the already irreversibly damaged core in the individual subject to be mapped have documented that the time course of core growth at the expense of the penumbra widely differs from patient to patient, and hence that individual physiology should be considered in addition to time since stroke onset for decision-making. This concept has been implemented to optimize patient selection in pivotal trials of reperfusion therapies beyond 3 h after stroke onset and is now routinely applied in clinical practice, using computed tomography or magnetic resonance imaging. The notion that, in order to be both efficient and harmless, treatment should be tailored to each patient's physiological characteristics represents a radical move towards precision medicine.
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Affiliation(s)
- Jean-Claude Baron
- Institute of Psychiatry and Neuroscience of Paris (IPNP), Université de Paris, INSERM U1266, Paris, France.,GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, Paris, France
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Zaro-Weber O, Fleischer H, Reiblich L, Schuster A, Moeller-Hartmann W, Heiss WD. Penumbra detection in acute stroke with perfusion magnetic resonance imaging: Validation with 15 O-positron emission tomography. Ann Neurol 2019; 85:875-886. [PMID: 30937950 PMCID: PMC6593670 DOI: 10.1002/ana.25479] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 03/20/2019] [Accepted: 03/31/2019] [Indexed: 12/17/2022]
Abstract
Objective Accurate identification of the ischemic penumbra, the therapeutic target in acute clinical stroke, is of critical importance to identify patients who might benefit from reperfusion therapies beyond the established time windows. Therefore, we aimed to validate magnetic resonance imaging (MRI) mismatch–based penumbra detection against full quantitative positron emission tomography (15O‐PET), the gold standard for penumbra detection in acute ischemic stroke. Methods Ten patients (group A) with acute and subacute ischemic stroke underwent perfusion‐weighted (PW)/diffusion‐weighted MRI and consecutive full quantitative 15O‐PET within 48 hours of stroke onset. Penumbra as defined by 15O‐PET cerebral blood flow (CBF), oxygen extraction fraction, and oxygen metabolism was used to validate a wide range of established PW measures (eg, time‐to‐maximum [Tmax]) to optimize penumbral tissue detection. Validation was carried out using a voxel‐based receiver‐operating‐characteristic curve analysis. The same validation based on penumbra as defined by quantitative 15O‐PET CBF was performed for comparative reasons in 23 patients measured within 48 hours of stroke onset (group B). Results The PW map Tmax (area‐under‐the‐curve = 0.88) performed best in detecting penumbral tissue up to 48 hours after stroke onset. The optimal threshold to discriminate penumbra from oligemia was Tmax >5.6 seconds with a sensitivity and specificity of >80%. Interpretation The performance of the best PW measure Tmax to detect the upper penumbral flow threshold in ischemic stroke is excellent. Tmax >5.6 seconds–based penumbra detection is reliable to guide treatment decisions up to 48 hours after stroke onset and might help to expand reperfusion treatment beyond the current time windows. ANN NEUROL 2019;85:875–886.
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Affiliation(s)
- Olivier Zaro-Weber
- Max Planck Institute for Neurological Research, Cologne, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Hermann Fleischer
- Max Planck Institute for Neurological Research, Cologne, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lucas Reiblich
- Max Planck Institute for Neurological Research, Cologne, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Nasel C, Klickovic U, Kührer HM, Villringer K, Fiebach JB, Villringer A, Moser E. A Quantitative Comparison of Clinically Employed Parameters in the Assessment of Acute Cerebral Ischemia Using Dynamic Susceptibility Contrast Magnetic Resonance Imaging. Front Physiol 2019; 9:1945. [PMID: 30697166 PMCID: PMC6341064 DOI: 10.3389/fphys.2018.01945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 12/22/2018] [Indexed: 11/13/2022] Open
Abstract
Purpose: Perfusion magnetic resonance imaging (P-MRI) is part of the mismatch concept employed for therapy decisions in acute ischemic stroke. Using dynamic susceptibility contrast (DSC) MRI the time-to-maximum (Tmax) parameter is quite popular, but its inconsistently defined computation, arterial input function (AIF) selection, and the applied deconvolution method may introduce bias into the assessment. Alternatively, parameter free methods, namely, standardized time-to-peak (stdTTP), zf-score, and standardized-zf (stdZ) are also available, offering consistent calculation procedures without the need of an AIF or deconvolution. Methods: Tmax was compared to stdTTP, zf-, and stdZ to evaluate robustness of infarct volume estimation in 66 patients, using data from two different sites and MR systems (i.e., 1.5T vs. 3T; short TR (= 689 ms) vs. medium TR (= 1,390 ms); bolus dose 0.1 or 0.2 ml/kgBW, respectively). Results: Quality factors (QF) for Tmax were 0.54 ± 0.18 (sensitivity), 0.90 ± 0.06 (specificity), and 0.87 ± 0.05 (accuracy). Though not significantly different, best specificity (0.93 ± 0.05) and accuracy (0.90 ± 0.04) were found for stdTTP with a sensitivity of 0.56 ± 0.17. Other tested parameters performed not significantly worse than Tmax and stdTTP, but absolute values of QFs were slightly lower, except for zf showing the highest sensitivity (0.72 ± 0.16). Accordingly, in ROC-analysis testing the parameter performance to predict the final infarct volume, stdTTP and zf showed the best performance. The odds for stdTTP to obtain the best prediction of the final infarct size, was 6.42 times higher compared to all other parameters (odds-ratio test; p = 2.2*10–16). Conclusion: Based on our results, we suggest to reanalyze data from large cohort studies using the parameters presented here, particularly stdTTP and zf-score, to further increase consistency of perfusion assessment in acute ischemic stroke.
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Affiliation(s)
- Christian Nasel
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.,Department of Radiology, University Hospital Tulln, Tulln, Austria.,MR Center of Excellence, Medical University of Vienna, Vienna, Austria
| | - Uros Klickovic
- Department of Radiology, University Hospital Tulln, Tulln, Austria.,Sobell Department of Motor Neuroscience and Movement Disorders, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | | | - Kersten Villringer
- Center for Stroke Research Berlin, Neuroradiology, Charité-Universitätsmedizin, Berlin, Germany
| | - Jochen B Fiebach
- Center for Stroke Research Berlin, Neuroradiology, Charité-Universitätsmedizin, Berlin, Germany
| | - Arno Villringer
- Department of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ewald Moser
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.,MR Center of Excellence, Medical University of Vienna, Vienna, Austria
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Bay V, Kjølby BF, Iversen NK, Mikkelsen IK, Ardalan M, Nyengaard JR, Jespersen SN, Drasbek KR, Østergaard L, Hansen B. Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model. PLoS One 2018; 13:e0196161. [PMID: 29698450 PMCID: PMC5919652 DOI: 10.1371/journal.pone.0196161] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/06/2018] [Indexed: 12/12/2022] Open
Abstract
Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from the two methods, kurtosis and diffusion tensor derived metrics. We aim to investigate if this mismatch can be examined in fixed tissue. Our investigation is based on estimates of mean diffusivity (MD) and mean (of the) kurtosis tensor (MKT) obtained using recent fast DKI methods requiring only 19 images. At 24 hours post stroke, rat brains were fixed and prepared. The infarct was clearly visible in both MD and MKT maps. The MKT lesion volume was roughly 31% larger than the MD lesion volume. Subsequent histological analysis (hematoxylin) revealed similar lesion volumes to MD. Our study shows that structural components underlying the MD/MKT mismatch can be investigated in fixed tissue and therefore allows a more direct comparison between lesion volumes from MRI and histology. Additionally, the larger MKT infarct lesion indicates that MKT do provide increased sensitivity to microstructural changes in the lesion area compared to MD.
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Affiliation(s)
- Vibeke Bay
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Risskov, Denmark
| | - Birgitte F. Kjølby
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Nina K. Iversen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Irene K. Mikkelsen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Maryam Ardalan
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Risskov, Denmark
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jens R. Nyengaard
- Core Center for Molecular Morphology, Section for Stereology and Microscopy, Centre for Stochastic Geometry and Advanced Bioimaging, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Sune N. Jespersen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark
| | - Kim R. Drasbek
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Leif Østergaard
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Brian Hansen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- * E-mail:
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Zaro-Weber O, Moeller-Hartmann W, Siegmund D, Kandziora A, Schuster A, Heiss WD, Sobesky J. MRI-based mismatch detection in acute ischemic stroke: Optimal PWI maps and thresholds validated with PET. J Cereb Blood Flow Metab 2017; 37:3176-3183. [PMID: 28029273 PMCID: PMC5584696 DOI: 10.1177/0271678x16685574] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Perfusion-weighted (PW) magnetic resonance imaging (MRI) is used to detect penumbral tissue in acute stroke, but the selection of optimal PW-maps and thresholds for tissue at risk detection remains a matter of debate. We validated the performance of PW-maps with 15O-water-positron emission tomography (PET) in a large comparative PET-MR cohort of acute stroke patients. In acute and subacute stroke patients with back-to-back MRI and PET imaging, PW-maps were validated with 15O-water-PET. We pooled two different cerebral blood flow (CBF) PET-maps to define the critical flow (CF) threshold, (i) quantitative (q)CBF-PET with the CF threshold <20 ml/100 g/min and (ii) normalized non-quantitative (nq)CBF-PET with a CF threshold of <70% (corresponding to <20 ml/100 g/min according to a previously published normogram). A receiver operating characteristic (ROC) curve analysis was performed to specify the accuracy and the optimal critical flow threshold of each PW-map as defined by PET. In 53 patients, (stroke to imaging: 9.8 h; PET to MRI: 52 min) PW-time-to-maximum (Tmax) with a threshold >6.1 s (AUC = 0.94) and non-deconvolved PW-time-to-peak (TTP) >4.8 s (AUC = 0.93) showed the best performance to detect the CF threshold as defined by PET. PW-Tmax with a threshold >6.1 s and TTP with a threshold >4.8 s are the most predictive in detecting the CF threshold for MR-based mismatch definition.
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Affiliation(s)
- Olivier Zaro-Weber
- 1 Max-Planck-Institute for Neurological Research, Cologne, Germany.,3 Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.,4 Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin, Berlin, Germany
| | | | - Dora Siegmund
- 1 Max-Planck-Institute for Neurological Research, Cologne, Germany
| | | | | | | | - Jan Sobesky
- 3 Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.,4 Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin, Berlin, Germany
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10
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Xu Y, Ringgaard S, Mariager CØ, Bertelsen LB, Schroeder M, Qi H, Laustsen C, Stødkilde-Jørgensen H. Hyperpolarized 13C Magnetic Resonance Imaging Can Detect Metabolic Changes Characteristic of Penumbra in Ischemic Stroke. ACTA ACUST UNITED AC 2017; 3:67-73. [PMID: 30042973 PMCID: PMC6024450 DOI: 10.18383/j.tom.2017.00106] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Magnetic resonance imaging (MRI) is increasingly the method of choice for rapid stroke assessment in patients and for guiding patient selection in clinical trials. The underlying metabolic status during stroke and following treatment is recognized as an important prognostic factor; thus, new methods are required to monitor local biochemistry following cerebral infarction, rapidly and in vivo. Hyperpolarized MRI with the tracer [1-13C]pyruvate enables rapid detection of localized [1-13C]lactate production, which has recently been shown in patients, supporting its translation to assess clinical stroke. Here we show the ability of hyperpolarized 13C MRI to detect the metabolic alterations characteristic of endothelin-1-induced ischemic stroke in rodents. In the region of penumbra, determined via T2-weighted 1H MRI, both [1-13C]pyruvate delivery and [1-13C]pyruvate cellular uptake independently increased. Furthermore, we observed a 33% increase in absolute [1-13C]lactate signal in the penumbra, and we determined that half of this increase was due to increased intracellular [1-13C]pyruvate supply and half was mediated by enhanced lactate dehydrogenase-mediated [1-13C]lactate production. Future work to characterize the kinetics of delivery, uptake, and enzymatic conversions of hyperpolarized tracers following ischemic stroke could position hyperpolarized 13C MRI as an ideal technology for rapid assessment of the penumbra during the critical time window following ischemic stroke in patients.
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Affiliation(s)
- Yafang Xu
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Steffen Ringgaard
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
| | | | - Lotte Bonde Bertelsen
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Marie Schroeder
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Haiyun Qi
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Christoffer Laustsen
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark
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Heiss WD, Zaro Weber O. Validation of MRI Determination of the Penumbra by PET Measurements in Ischemic Stroke. J Nucl Med 2016; 58:187-193. [PMID: 27879370 DOI: 10.2967/jnumed.116.185975] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 11/10/2016] [Indexed: 11/16/2022] Open
Abstract
The concept of the ischemic penumbra was formulated on the basis of animal experiments showing functional impairment and electrophysiologic disturbances with decreasing flow to the brain below defined values (the threshold for function) and irreversible tissue damage with blood supply further decreased (the threshold for infarction). The perfusion range between these thresholds was termed the "penumbra," and restitution of flow above the functional threshold was able to reverse the deficits without permanent damage. In further experiments, the dependency of the development of irreversible lesions on the interaction of the severity and the duration of critically reduced blood flow was established, proving that the lower the flow, the shorter the time for efficient reperfusion. As a consequence, infarction develops from the core of ischemia to the areas of less severe hypoperfusion. The translation of this experimental concept as the basis for the efficient treatment of stroke requires noninvasive methods with which regional flow and energy metabolism can be repeatedly investigated to demonstrate penumbra tissue, which can benefit from therapeutic interventions. PET allows the quantification of regional cerebral blood flow, the regional oxygen extraction fraction, and the regional metabolic rate for oxygen. With these variables, clear definitions of irreversible tissue damage and of critically hypoperfused but potentially salvageable tissue (i.e., the penumbra) in stroke patients can be achieved. However, PET is a research tool, and its complex logistics limit clinical routine applications. Perfusion-weighted or diffusion-weighted MRI is a widely applicable clinical tool, and the "mismatch" between perfusion-weighted and diffusion-weighted abnormalities serves as an indicator of the penumbra. However, comparative studies of perfusion-weighted or diffusion-weighted MRI and PET have indicated overestimation of the core of irreversible infarction as well as of the penumbra by the MRI modalities. Some of these discrepancies can be explained by the nonselective application of relative perfusion thresholds, which might be improved by more complex analytic procedures. The heterogeneity of the MRI signatures used for the definition of the mismatch are also responsible for disappointing results in the application of perfusion-weighted or diffusion-weighted MRI to the selection of patients for clinical trials. As long as validation of the mismatch selection paradigm is lacking, the use of this paradigm as a surrogate marker of outcome is limited.
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MacDonald ME, Frayne R. Cerebrovascular MRI: a review of state-of-the-art approaches, methods and techniques. NMR IN BIOMEDICINE 2015; 28:767-791. [PMID: 26010775 DOI: 10.1002/nbm.3322] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 04/08/2015] [Accepted: 04/09/2015] [Indexed: 06/04/2023]
Abstract
Cerebrovascular imaging is of great interest in the understanding of neurological disease. MRI is a non-invasive technology that can visualize and provide information on: (i) the structure of major blood vessels; (ii) the blood flow velocity in these vessels; and (iii) the microcirculation, including the assessment of brain perfusion. Although other medical imaging modalities can also interrogate the cerebrovascular system, MR provides a comprehensive assessment, as it can acquire many different structural and functional image contrasts whilst maintaining a high level of patient comfort and acceptance. The extent of examination is limited only by the practicalities of patient tolerance or clinical scheduling limitations. Currently, MRI methods can provide a range of metrics related to the cerebral vasculature, including: (i) major vessel anatomy via time-of-flight and contrast-enhanced imaging; (ii) blood flow velocity via phase contrast imaging; (iii) major vessel anatomy and tissue perfusion via arterial spin labeling and dynamic bolus passage approaches; and (iv) venography via susceptibility-based imaging. When designing an MRI protocol for patients with suspected cerebral vascular abnormalities, it is appropriate to have a complete understanding of when to use each of the available techniques in the 'MR angiography toolkit'. In this review article, we: (i) overview the relevant anatomy, common pathologies and alternative imaging modalities; (ii) describe the physical principles and implementations of the above listed methods; (iii) provide guidance on the selection of acquisition parameters; and (iv) describe the existing and potential applications of MRI to the cerebral vasculature and diseases. The focus of this review is on obtaining an understanding through the application of advanced MRI methodology of both normal and abnormal blood flow in the cerebrovascular arteries, capillaries and veins.
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Affiliation(s)
- Matthew Ethan MacDonald
- Biomedical Engineering, Radiology, and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Richard Frayne
- Biomedical Engineering, Radiology, and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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Nasel C, Kalcher K, Boubela R, Moser E. Improved quantification of cerebral hemodynamics using individualized time thresholds for assessment of peak enhancement parameters derived from dynamic susceptibility contrast enhanced magnetic resonance imaging. PLoS One 2014; 9:e114999. [PMID: 25521121 PMCID: PMC4270773 DOI: 10.1371/journal.pone.0114999] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Accepted: 11/17/2014] [Indexed: 11/18/2022] Open
Abstract
Purpose Assessment of cerebral ischemia often employs dynamic susceptibility contrast enhanced magnetic resonance imaging (DSC-MRI) with evaluation of various peak enhancement time parameters. All of these parameters use a single time threshold to judge the maximum tolerable peak enhancement delay that is supposed to reliably differentiate sufficient from critical perfusion. As the validity of this single threshold approach still remains unclear, in this study, (1) the definition of a threshold on an individual patient-basis, nevertheless (2) preserving the comparability of the data, was investigated. Methods The histogram of time-to-peak (TTP) values derived from DSC-MRI, the so-called TTP-distribution curve (TDC), was modeled using a double-Gaussian model in 61 patients without severe cerebrovascular disease. Particular model-based zf-scores were used to describe the arterial, parenchymal and venous bolus-transit phase as time intervals Ia,p,v. Their durations (delta Ia,p,v), were then considered as maximum TTP-delays of each phase. Results Mean-R2 for the model-fit was 0.967. Based on the generic zf-scores the proposed bolus transit phases could be differentiated. The Ip-interval reliably depicted the parenchymal bolus-transit phase with durations of 3.4 s–10.1 s (median = 4.3s), where an increase with age was noted (∼30 ms/year). Conclusion Individual threshold-adjustment seems rational since regular bolus-transit durations in brain parenchyma obtained from the TDC overlap considerably with recommended critical TTP-thresholds of 4 s–8 s. The parenchymal transit time derived from the proposed model may be utilized to individually correct TTP-thresholds, thereby potentially improving the detection of critical perfusion.
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Affiliation(s)
- Christian Nasel
- Department of Radiology, University Hospital Tulln, Karl Landsteiner University of Health Sciences, Tulln, Austria
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- MR Center of Excellence, Medical University of Vienna, Vienna, Austria
- * E-mail:
| | - Klaudius Kalcher
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- MR Center of Excellence, Medical University of Vienna, Vienna, Austria
| | - Roland Boubela
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- MR Center of Excellence, Medical University of Vienna, Vienna, Austria
| | - Ewald Moser
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- MR Center of Excellence, Medical University of Vienna, Vienna, Austria
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PET imaging in ischemic cerebrovascular disease: current status and future directions. Neurosci Bull 2014; 30:713-32. [PMID: 25138055 DOI: 10.1007/s12264-014-1463-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 04/10/2014] [Indexed: 01/08/2023] Open
Abstract
Cerebrovascular diseases are caused by interruption or significant impairment of the blood supply to the brain, which leads to a cascade of metabolic and molecular alterations resulting in functional disturbance and morphological damage. These pathophysiological changes can be assessed by positron emission tomography (PET), which permits the regional measurement of physiological parameters and imaging of the distribution of molecular markers. PET has broadened our understanding of the flow and metabolic thresholds critical for the maintenance of brain function and morphology: in this application, PET has been essential in the transfer of the concept of the penumbra (tissue with perfusion below the functional threshold but above the threshold for the preservation of morphology) to clinical stroke and thereby has had great impact on developing treatment strategies. Radioligands for receptors can be used as early markers of irreversible neuronal damage and thereby can predict the size of the final infarcts; this is also important for decisions concerning invasive therapy in large ("malignant") infarctions. With PET investigations, the reserve capacity of blood supply to the brain can be tested in obstructive arteriosclerosis of the supplying arteries, and this again is essential for planning interventions. The effect of a stroke on the surrounding and contralateral primarily unaffected tissue can be investigated, and these results help to understand the symptoms caused by disturbances in functional networks. Chronic cerebrovascular disease causes vascular cognitive disorders, including vascular dementia. PET permits the detection of the metabolic disturbances responsible for cognitive impairment and dementia, and can differentiate vascular dementia from degenerative diseases. It may also help to understand the importance of neuroinflammation after stroke and its interaction with amyloid deposition in the development of dementia. Although the clinical application of PET investigations is limited, this technology had and still has a great impact on research into cerebrovascular diseases.
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Barber PA. Magnetic resonance imaging of ischemia viability thresholds and the neurovascular unit. SENSORS 2013; 13:6981-7003. [PMID: 23711462 PMCID: PMC3715273 DOI: 10.3390/s130606981] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2013] [Revised: 05/02/2013] [Accepted: 05/06/2013] [Indexed: 01/24/2023]
Abstract
Neuroimaging has improved our understanding of the evolution of stroke at discreet time points helping to identify irreversibly damaged and potentially reversible ischemic brain. Neuroimaging has also contributed considerably to the basic premise of acute stroke therapy which is to salvage some portion of the ischemic region from evolving into infarction, and by doing so, maintaining brain function and improving outcome. The term neurovascular unit (NVU) broadens the concept of the ischemic penumbra by linking the microcirculation with neuronal-glial interactions during ischemia reperfusion. Strategies that attempt to preserve the individual components (endothelium, glia and neurons) of the NVU are unlikely to be helpful if blood flow is not fully restored to the microcirculation. Magnetic resonance imaging (MRI) is the foremost imaging technology able to bridge both basic science and the clinic via non-invasive real time high-resolution anatomical delineation of disease manifestations at the molecular and ionic level. Current MRI based technologies have focused on the mismatch between perfusion-weighted imaging (PWI) and diffusion weighted imaging (DWI) signals to estimate the tissue that could be saved if reperfusion was achieved. Future directions of MRI may focus on the discordance of recanalization and reperfusion, providing complimentary pathophysiological information to current compartmental paradigms of infarct core (DWI) and penumbra (PWI) with imaging information related to cerebral blood flow, BBB permeability, inflammation, and oedema formation in the early acute phase. In this review we outline advances in our understanding of stroke pathophysiology with imaging, transcending animal stroke models to human stroke, and describing the potential translation of MRI to image important interactions relevant to acute stroke at the interface of the neurovascular unit.
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Affiliation(s)
- Philip A Barber
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada.
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Abstract
Stroke and cerebrovascular diseases are major causes of mortality, morbidity, and disability. Nuclear Medicine, primarily via tomographic methods, has made significant contributions to the understanding of the hemodynamic and metabolic consequences of cerebrovascular diseases. In this review, the findings in acute, subacute, and chronic cerebrovascular diseases are described. Many of the pathophysiologic processes and consequences that follow stroke, including completed infarct core, adjacent penumbra, and diaschisis, have been investigated with Nuclear Medicine, and stroke outcome may be related to these phenomena. Additional topics included in this review are cerebrovascular reserve tests and multi-infarct dementia. Finally, Nuclear Medicine investigations of stroke recovery and cerebral plasticity appear to indicate that enhanced activity of preexisting networks, rather than substitution of function, represents the most important mechanism of improvement in chronic stroke rehabilitation.
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Affiliation(s)
- David H Lewis
- Division of Nuclear Medicine, Department of Radiology, University of Washington School of Medicine, Seattle, WA 98104, USA.
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Affiliation(s)
- Wolf-Dieter Heiss
- From the Max Planck Institute for Neurological Research, Cologne, Germany
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Abstract
In ischemic stroke, positron-emission tomography (PET) established the imaging-based concept of penumbra. It defines hypoperfused, but functionally impaired, tissue with preserved viability that can be rescued by timely reperfusion. Diffusion-weighted and perfusion-weighted (PW) magnetic resonance imaging (MRI) translated the concept of penumbra to the concept of mismatch. However, the use of mismatch-based patient stratification for reperfusion therapy remains a matter of debate. The equivalence of mismatch and penumbra, as well as the validity of the classical mismatch concept is questioned for several reasons. First, methodological differences between PET and MRI lead to different definitions of the tissue at risk. Second, the mismatch concept is still poorly standardized among imaging facilities causing relevant variability in stroke research. Third, relevant conceptual issues (e.g., the choice of the adequate perfusion measure, the best quantitative approach to perfusion maps, and the required size of the mismatch) need further refinement. Fourth, the use of single thresholds does not account for the physiological heterogeneity of the penumbra and probabilistic approaches may be more promising. The implementation of this current knowledge into an optimized state-of-the-art mismatch model and its validation in clinical stroke studies remains a major challenge for future stroke research.
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Affiliation(s)
- Jan Sobesky
- Department of Neurology and Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin, Berlin, Germany.
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Abstract
The early developments of brain positron emission tomography (PET), including the methodological advances that have driven progress, are outlined. The considerable past achievements of brain PET have been summarized in collaboration with contributing experts in specific clinical applications including cerebrovascular disease, movement disorders, dementia, epilepsy, schizophrenia, addiction, depression and anxiety, brain tumors, drug development, and the normal healthy brain. Despite a history of improving methodology and considerable achievements, brain PET research activity is not growing and appears to have diminished. Assessments of the reasons for decline are presented and strategies proposed for reinvigorating brain PET research. Central to this is widening the access to advanced PET procedures through the introduction of lower cost cyclotron and radiochemistry technologies. The support and expertize of the existing major PET centers, and the recruitment of new biologists, bio-mathematicians and chemists to the field would be important for such a revival. New future applications need to be identified, the scope of targets imaged broadened, and the developed expertize exploited in other areas of medical research. Such reinvigoration of the field would enable PET to continue making significant contributions to advance the understanding of the normal and diseased brain and support the development of advanced treatments.
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Affiliation(s)
- Terry Jones
- PET Research Advisory Company, 8 Prestbury Road, Wilmslow, Cheshire SK9 2LJ, UK.
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21
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Baron JC, Jones T. Oxygen metabolism, oxygen extraction and positron emission tomography: Historical perspective and impact on basic and clinical neuroscience. Neuroimage 2012; 61:492-504. [DOI: 10.1016/j.neuroimage.2011.12.036] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2011] [Revised: 12/08/2011] [Accepted: 12/15/2011] [Indexed: 10/14/2022] Open
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d’Esterre CD, Fainardi E, Aviv RI, Lee TY. Improving Acute Stroke Management with Computed Tomography Perfusion: A Review of Imaging Basics and Applications. Transl Stroke Res 2012; 3:205-20. [DOI: 10.1007/s12975-012-0178-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Revised: 04/09/2012] [Accepted: 04/12/2012] [Indexed: 10/28/2022]
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Zaro-Weber O, Moeller-Hartmann W, Heiss WD, Sobesky J. Influence of the Arterial Input Function on Absolute and Relative Perfusion-Weighted Imaging Penumbral Flow Detection. Stroke 2012; 43:378-85. [DOI: 10.1161/strokeaha.111.635458] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Perfusion-weighted imaging maps are used to identify critical hypoperfusion in acute stroke. However, quantification of perfusion may depend on the choice of the arterial input function (AIF). Using quantitative positron emission tomography we evaluated the influence of the AIF location on maps of absolute and relative perfusion-weighted imaging to detect penumbral flow (PF; <20 mL/100 g/min on positron emission tomography
CBF
) in acute stroke.
Methods—
In 22 patients with acute stroke the AIF was placed at 7 sites (M1, M2, M3 ipsi- and contralateral and internal carotid artery–M1 contralateral to the infarct). Comparative
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O-water positron emission tomography and AIF-dependent perfusion-weighted imaging (cerebral blood flow, cerebral blood volume, mean transit time, and time to maximum) were performed. A receiver operating characteristic curve analysis described the threshold independent performance (area under the curve) of the perfusion-weighted maps for all 7 AIF locations and identified the best AIF-dependent absolute and relative thresholds to identify PF. These results were compared with AIF-independent time-to-peak maps.
Results—
Quantitative perfusion-weighted imaging maps of cerebral blood flow and time to maximum performed best. For PF detection, AIF placement did significantly influence absolute PF thresholds. However, AIF placement did not influence (1) the threshold independent performance; and (2) the relative PF thresholds. AIF placement in the proximal segment of the contralateral middle cerebral artery (cM1) was preferable for quantification.
Conclusions—
AIF-based maps of cerebral blood flow and time to maximum were most accurate to detect the PF threshold. The AIF placement significantly altered absolute PF thresholds and showed best agreement with positron emission tomography for the cM1 segment. The performance of relative PF thresholds, however, was not AIF location-dependent and might be along with AIF-independent time-to-peak maps, more suitable than absolute PF thresholds in acute stroke if detailed postprocessing is not feasible.
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Affiliation(s)
- Olivier Zaro-Weber
- From the Max Planck Institute for Neurological Research (O.Z.-W., W.-D.H.), Cologne, Germany; the Departments of Neurology (O.Z.-W.) and Diagnostic Radiology (W.M.-H.), University of Cologne, Cologne, Germany; and the Department of Neurology and Center for Stroke Research Berlin (O.Z.-W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Walter Moeller-Hartmann
- From the Max Planck Institute for Neurological Research (O.Z.-W., W.-D.H.), Cologne, Germany; the Departments of Neurology (O.Z.-W.) and Diagnostic Radiology (W.M.-H.), University of Cologne, Cologne, Germany; and the Department of Neurology and Center for Stroke Research Berlin (O.Z.-W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Wolf-Dieter Heiss
- From the Max Planck Institute for Neurological Research (O.Z.-W., W.-D.H.), Cologne, Germany; the Departments of Neurology (O.Z.-W.) and Diagnostic Radiology (W.M.-H.), University of Cologne, Cologne, Germany; and the Department of Neurology and Center for Stroke Research Berlin (O.Z.-W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Sobesky
- From the Max Planck Institute for Neurological Research (O.Z.-W., W.-D.H.), Cologne, Germany; the Departments of Neurology (O.Z.-W.) and Diagnostic Radiology (W.M.-H.), University of Cologne, Cologne, Germany; and the Department of Neurology and Center for Stroke Research Berlin (O.Z.-W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
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Cheung JS, Wang X, Zhe Sun P. Magnetic resonance characterization of ischemic tissue metabolism. Open Neuroimag J 2011; 5:66-73. [PMID: 22216079 PMCID: PMC3245409 DOI: 10.2174/1874440001105010066] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2010] [Revised: 02/23/2011] [Accepted: 03/13/2011] [Indexed: 11/22/2022] Open
Abstract
Magnetic resonance imaging (MRI) and spectroscopy (MRS) are versatile diagnostic techniques capable of characterizing the complex stroke pathophysiology, and hold great promise for guiding stroke treatment. Particularly, tissue viability and salvageability are closely associated with its metabolic status. Upon ischemia, ischemic tissue metabolism is disrupted including altered metabolism of glucose and oxygen, elevated lactate production/accumulation, tissue acidification and eventually, adenosine triphosphate (ATP) depletion and energy failure. Whereas metabolism impairment during ischemic stroke is complex, it may be monitored non-invasively with magnetic resonance (MR)-based techniques. Our current article provides a concise overview of stroke pathology, conventional and emerging imaging and spectroscopy techniques, and data analysis tools for characterizing ischemic tissue damage.
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Affiliation(s)
- Jerry S Cheung
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
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Heiss WD. The ischemic penumbra: correlates in imaging and implications for treatment of ischemic stroke. The Johann Jacob Wepfer award 2011. Cerebrovasc Dis 2011; 32:307-20. [PMID: 21921593 DOI: 10.1159/000330462] [Citation(s) in RCA: 105] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The concept of the ischemic penumbra was formulated 30 years ago based on experiments in animal models showing functional impairment and electrophysiological disturbances with decreasing flow to the brain below defined values (the threshold for function) and irreversible tissue damage with the blood supply further decreased (the threshold for infarction). The perfusion range between these thresholds was termed 'penumbra', and restitution of flow above the functional threshold was able to reverse the deficits without permanent damage. However, in further experiments, the dependency of the development of irreversible lesions on the interaction of the severity and duration of critically reduced blood flow was established - proving that the lower the flow, the shorter the time for efficient reperfusion. Therefore, infarction develops from the core of ischemia to the areas of less severe hypoperfusion. The propagation of irreversible tissue damage is characterized by a complex cascade of interconnected electrophysiological, molecular, metabolic and perfusional disturbances. Waves of depolarizations, the peri-infarct spreading depression-like depolarizations, inducing activation of ion pumps and liberation of excitatory transmitters, have dramatic consequences as drastically increased metabolic demand cannot be satisfied in regions with critically reduced blood supply. The translation of experimental concept into the basis for efficient treatment of stroke requires non-invasive methods by which regional flow and energy metabolism can be repeatedly investigated to demonstrate penumbra tissue that can benefit from therapeutic interventions. Positron emission tomography (PET) allows the quantification of regional cerebral blood flow, the regional metabolic rate for oxygen and the regional oxygen extraction fraction. From these variables, clear definitions of irreversible tissue damage and critically perfused but potentially salvageable tissue (i.e. the penumbra) can be achieved in animal models and stroke patients. Additionally, further tracers can be used for early detection of irreversible tissue damage, e.g. by the central benzodiazepine receptor ligand flumazenil. However, PET is a research tool and its complex logistics limit clinical routine applications. As a widely applicable clinical tool, perfusion/diffusion-weighted (PW/DW) MRI is used, and the 'mismatch' between the PW and the DW abnormalities serve as an indicator of the penumbra. However, comparative studies of PW/DW-MRI and PET have pointed to an overestimation of the core of irreversible infarction as well as of the penumbra by MRI modalities. Some of these discrepancies can be explained by unselective application of relative perfusion thresholds, which might be improved by more complex analytical procedures. Heterogeneity of the MRI signatures used for the definition of the mismatch are also responsible for disappointing results in the application of PW/DW-MRI for the selection of patients for clinical trials. As long as a validation of the mismatch selection paradigm is lacking, its use as a surrogate marker of outcome is limited.
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Abstract
Original experimental studies in nonhuman primate models of focal ischemia showed flow-related changes in evoked potentials that suggested a circumferential zone of low regional cerebral blood flow with normal K(+) homeostasis, around a core of permanent injury in the striatum or the cortex. This became the basis for the definition of the ischemic penumbra. Imaging techniques of the time suggested a homogeneous core of injury, while positing a surrounding 'penumbral' region that could be salvaged. However, both molecular studies and observations of vascular integrity indicate a more complex and dynamic situation in the ischemic core that also changes with time. The microvascular, cellular, and molecular events in the acute setting are compatible with heterogeneity of the injury within the injury center, which at early time points can be described as multiple 'mini-cores' associated with multiple 'mini-penumbras'. These observations suggest the progression of injury from many small foci to a homogeneous defect over time after the onset of ischemia. Recent observations with updated imaging techniques and data processing support these dynamic changes within the core and the penumbra in humans following focal ischemia.
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Affiliation(s)
- Gregory J del Zoppo
- Department of Medicine (Division of Hematology), University of Washington School of Medicine, Seattle, Washington 98104, USA.
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Dani KA, Thomas RG, Chappell FM, Shuler K, MacLeod MJ, Muir KW, Wardlaw JM. Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: Definitions and thresholds. Ann Neurol 2011; 70:384-401. [DOI: 10.1002/ana.22500] [Citation(s) in RCA: 138] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Revised: 05/06/2011] [Accepted: 05/27/2011] [Indexed: 01/27/2023]
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Crossed cerebellar diaschisis after stroke: can perfusion-weighted MRI show functional inactivation? J Cereb Blood Flow Metab 2011; 31:1493-500. [PMID: 21386854 PMCID: PMC3130318 DOI: 10.1038/jcbfm.2011.15] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In this study, we aimed to assess the detection of crossed cerebellar diaschisis (CCD) following stroke by perfusion-weighted magnetic resonance imaging (PW-MRI) in comparison with positron emission tomography (PET). Both PW-MRI and 15O-water-PET were performed in acute and subacute hemispheric stroke patients. The degree of CCD was defined by regions of interest placed in the cerebellar hemispheres ipsilateral (I) and contralateral (C) to the supratentorial lesion. An asymmetry index (AI=C/I) was calculated for PET-cerebral blood flow (CBF) and MRI-based maps of CBF, cerebral blood volume (CBV), mean transit time (MTT), and time to peak (TTP). The resulting AI values were compared by Bland-Altman (BA) plots and receiver operating characteristic analysis to detect the degree and presence of CCD. A total of 26 imaging procedures were performed (median age 57 years, 20/26 imaged within 48 hours after stroke). In BA plots, all four PW-MRI maps could not reliably reflect the degree of CCD. In receiver operating characteristic analysis for detection of CCD, PW-CBF performed poorly (accuracy 0.61), whereas CBV, MTT, and TTP failed (accuracy <0.60). On the basis of our findings, PW-MRI at 1.5 T is not suited to depict CCD after stroke.
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Carrera E, Jones PS, Alawneh JA, Klærke Mikkelsen I, Cho TH, Siemonsen S, Guadagno JV, Mouridsen K, Ribe L, Hjort N, Fryer TD, Carpenter TA, Aigbirhio FI, Fiehler J, Nighoghossian N, Warburton EA, Ostergaard L, Baron JC. Predicting Infarction Within the Diffusion-Weighted Imaging Lesion. Stroke 2011; 42:1602-7. [DOI: 10.1161/strokeaha.110.606970] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Emmanuel Carrera
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - P. Simon Jones
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Josef A. Alawneh
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Irene Klærke Mikkelsen
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Tae-Hee Cho
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Suzanne Siemonsen
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Joseph V. Guadagno
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Kim Mouridsen
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Lars Ribe
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Niels Hjort
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Tim D. Fryer
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - T. Adrian Carpenter
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Franklin I. Aigbirhio
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Jens Fiehler
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Norbert Nighoghossian
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Elizabeth A. Warburton
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Leif Ostergaard
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
| | - Jean-Claude Baron
- From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France
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Carrera E, Jones PS, Iglesias S, Guadagno JV, Warburton EA, Fryer TD, Aigbirhio FI, Baron JC. The vascular mean transit time: a surrogate for the penumbra flow threshold? J Cereb Blood Flow Metab 2011; 31:1027-35. [PMID: 21045862 PMCID: PMC3070969 DOI: 10.1038/jcbfm.2010.197] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2010] [Revised: 09/28/2010] [Accepted: 10/06/2010] [Indexed: 02/02/2023]
Abstract
Depicting the salvageable tissue is increasingly used in the clinical setting following stroke. As absolute cerebral blood flow (CBF) is difficult to measure using perfusion magnetic resonance or computed tomography and has limitations as a penumbral marker, time-based variables, particularly the mean transit time (MTT), are routinely used as surrogates. However, a direct validation of MTT as a predictor of the penumbra threshold using gold-standard positron emission tomography (PET) is lacking. Using (15)O-PET data sets obtained from two independent acute stroke samples (N=7 and N=30, respectively), we derived areas under the curve (AUCs), optimal thresholds (OTs), and 90%-specificity thresholds (90%-Ts) from receiver operating characteristic curves for absolute MTT, MTT delay, and MTT ratio to predict three penumbra thresholds ('classic': CBF <20 mL/100 g per min; 'normalized': CBF ratio <0.5; and 'stringent': both CBF <20 mL/100 g per min and oxygen extraction fraction >0.55). In sample 1, AUCs ranged from 0.79 to 0.92, indicating good validity; OTs ranged from 7.8 to 8.3 seconds, 2.8 to 4.7 seconds, and 151% to 267% for absolute MTT, MTT delay, and MTT ratio, respectively, while as expected, 90%-Ts were longer. There was no significant difference between sample 1 and sample 2 for any of the above measurements, save for a single MTT parameter with a single penumbra threshold. These consistent findings from gold-standard PET obtained in two independent cohorts document that MTT is a very good surrogate to CBF for depicting the penumbra threshold.
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Affiliation(s)
- Emmanuel Carrera
- Department of Clinical Neurosciences, The Stroke Research Group, University of Cambridge, Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences, The Stroke Research Group, University of Cambridge, Cambridge, UK
| | | | - Joseph V Guadagno
- Department of Clinical Neurosciences, The Stroke Research Group, University of Cambridge, Cambridge, UK
| | - Elizabeth A Warburton
- Stroke Unit, Department of Medicine, Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Tim D Fryer
- Department of Clinical Neurosciences, Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - Franklin I Aigbirhio
- Department of Clinical Neurosciences, Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - Jean-Claude Baron
- Department of Clinical Neurosciences, The Stroke Research Group, University of Cambridge, Cambridge, UK
- INSERM U320, Caen, France
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31
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Wang S, Kim S, Chawla S, Wolf RL, Knipp DE, Vossough A, O'Rourke DM, Judy KD, Poptani H, Melhem ER. Differentiation between glioblastomas, solitary brain metastases, and primary cerebral lymphomas using diffusion tensor and dynamic susceptibility contrast-enhanced MR imaging. AJNR Am J Neuroradiol 2011; 32:507-14. [PMID: 21330399 DOI: 10.3174/ajnr.a2333] [Citation(s) in RCA: 139] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Glioblastomas, brain metastases, and PCLs may have similar enhancement patterns on MR imaging, making the differential diagnosis difficult or even impossible. The purpose of this study was to determine whether a combination of DTI and DSC can assist in the differentiation of glioblastomas, solitary brain metastases, and PCLs. MATERIALS AND METHODS Twenty-six glioblastomas, 25 brain metastases, and 16 PCLs were retrospectively identified. DTI metrics, including FA, ADC, CL, CP, CS, and rCBV were measured from the enhancing, immediate peritumoral and distant peritumoral regions. A 2-level decision tree was designed, and a multivariate logistic regression analysis was used at each level to determine the best model for classification. RESULTS From the enhancing region, significantly elevated FA, CL, and CP and decreased CS values were observed in glioblastomas compared with brain metastases and PCLs (P < .001), whereas ADC, rCBV, and rCBV(max) values of glioblastomas were significantly higher than those of PCLs (P < .01). The best model to distinguish glioblastomas from nonglioblastomas consisted of ADC, CS (or FA) from the enhancing region, and rCBV from the immediate peritumoral region, resulting in AUC = 0.938. The best predictor to differentiate PCLs from brain metastases comprised ADC from the enhancing region and CP from the immediate peritumoral region with AUC = 0.909. CONCLUSIONS The combination of DTI metrics and rCBV measurement can help in the differentiation of glioblastomas from brain metastases and PCLs.
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Affiliation(s)
- S Wang
- Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, 19104, USA.
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Mette D, Strunk R, Zuccarello M. Cerebral Blood Flow Measurement in Neurosurgery. Transl Stroke Res 2011; 2:152-8. [DOI: 10.1007/s12975-010-0064-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2010] [Revised: 12/28/2010] [Accepted: 12/30/2010] [Indexed: 11/30/2022]
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Zaro-Weber O, Moeller-Hartmann W, Heiss WD, Sobesky J. Maps of Time to Maximum and Time to Peak for Mismatch Definition in Clinical Stroke Studies Validated With Positron Emission Tomography. Stroke 2010; 41:2817-21. [DOI: 10.1161/strokeaha.110.594432] [Citation(s) in RCA: 115] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Perfusion-weighted imaging-derived maps of time-to-maximum (Tmax) are increasingly used to identify the tissue at risk in clinical stroke studies (eg, DEFUSE and EPITHET). Using quantitative positron emission tomography (PET), we evaluated Tmax to define the penumbral flow threshold in stroke patients and compared its performance to nondeconvolved time-to-peak (TTP) maps.
Methods—
Comparative perfusion-weighted imaging and quantitative 15O-water PET images of acute stroke patients were analyzed using cortical regions of interest. A receiver-operating characteristic curve analysis described the threshold independent performance of Tmax (area under the curve) and identified the best threshold (equal sensitivity and specificity threshold) to identify penumbral flow (<20 mL/100 g/min on PET cerebral blood flow). The results were compared with nondeconvolved TTP and other current perfusion-weighted imaging maps using the Mann–Whitney rank-sum test.
Results—
In 26 patients (time delay between MRI and PET, 65 minutes), the best threshold for penumbral flow was 5.5 seconds for Tmax (median; interquartile range, 3.9–6.6; sensitivity/specificity, 88%/89%). The area under the curve value was 0.95 (median; interquartile range, 0.93–0.97). Deconvolved Tmax did not perform significantly better than TTP (
P
=0.34).
Conclusion—
Maps of Tmax detected penumbral flow but did not perform better than the easy-to-obtain maps of nondeconvolved TTP. Thus, “simple” TTP maps still remain suitable for clinical stroke studies if detailed postprocessing is not feasible.
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Affiliation(s)
- Olivier Zaro-Weber
- From the Max Planck Institute for Neurological Research (O.Z.W., W.D.H.), Cologne, Germany; Departments of Neurology (O.Z.W.) and Diagnostic Radiology (W.M.H.), University of Cologne, Germany; Department of Neurology and Center for Stroke Research Berlin (O.Z.W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Walter Moeller-Hartmann
- From the Max Planck Institute for Neurological Research (O.Z.W., W.D.H.), Cologne, Germany; Departments of Neurology (O.Z.W.) and Diagnostic Radiology (W.M.H.), University of Cologne, Germany; Department of Neurology and Center for Stroke Research Berlin (O.Z.W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Wolf-Dieter Heiss
- From the Max Planck Institute for Neurological Research (O.Z.W., W.D.H.), Cologne, Germany; Departments of Neurology (O.Z.W.) and Diagnostic Radiology (W.M.H.), University of Cologne, Germany; Department of Neurology and Center for Stroke Research Berlin (O.Z.W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Sobesky
- From the Max Planck Institute for Neurological Research (O.Z.W., W.D.H.), Cologne, Germany; Departments of Neurology (O.Z.W.) and Diagnostic Radiology (W.M.H.), University of Cologne, Germany; Department of Neurology and Center for Stroke Research Berlin (O.Z.W., J.S.), Charité-Universitätsmedizin Berlin, Berlin, Germany
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Abstract
The 'penumbra' is a concept coined in animal experiments suggesting that functionally impaired tissue can survive and recover if sufficient reperfusion is re-established within a limited time period, which depends on the level of residual flow. In an ischaemic territory, irreversible damage progresses over time from the centre of the most severe flow reduction to the periphery with less disturbed perfusion. This centrifugal progression of irreversible tissue damage is characterised by a complex cascade of interconnected electrophysiological, molecular, metabolic and perfusion disturbances. Waves of depolarisations, the peri infarct spreading depressions, inducing activation of ion pumps and liberation of excitatory transmitters play an important role in the drastically increased metabolic demand during reduced oxygen supply causing hypoxic tissue changes and lactacidosis, which further damage the tissue. Positron emission tomography allows the quantification of regional cerebral blood flow, the regional metabolic rate for oxygen and the regional oxygen extraction fraction, which can be used to identify regions with a critical reduction in these physiologic variables as indicators of penumbra and irreversible damage within ischaemic territories in animal models and patients with stroke. These positron emission tomography methods require arterial blood sampling and due to the complex logistics involved, are limited for routine application. Therefore, newer tracers were developed for the noninvasive detection of irreversible tissue damage (flumazenil) and of hypoxic tissue changes (fluoromisonidazole). As a widely applicable clinical tool, diffusion/perfusion-weighted magnetic resonance imaging is used; the 'mismatch' between perfusion and diffusion changes serves as a surrogate marker of the penumbra. However, in comparative studies of magnetic resonance imaging and positron emission tomography, diffusion-weighted imaging showed a high false-positive rate of irreversible damage, and the perfusion-weighted-diffusion-weighted mismatch overestimated the penumbra as defined by positron emission tomography. Advanced analytical procedures of magnetic resonance imaging data may improve the reliability of these surrogate markers but should be validated with quantitative procedures.
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Zaro-Weber O, Moeller-Hartmann W, Heiss WD, Sobesky J. A simple positron emission tomography-based calibration for perfusion-weighted magnetic resonance maps to optimize penumbral flow detection in acute stroke. Stroke 2010; 41:1939-45. [PMID: 20671255 DOI: 10.1161/strokeaha.110.584029] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Perfusion-weighted (PW) MRI is increasingly used to identify the tissue at risk. The adequate PW-MRI map and threshold remain controversial due to a considerable individual variation of values. By comparative positron emission tomography, we evaluated a simple MR-based and positron emission tomography-validated calibration of PW maps. METHODS PW-MRI and quantitative positron emission tomography (15O-water) of patients with acute stroke were used to calculate averaged as well as individual thresholds of penumbral flow (positron emission tomography cerebral blood flow (<20 mL/100 g/min) for maps of time to peak, mean transit time, cerebral blood flow, and cerebral blood volume. A linear regression analysis studied the variability of the individual thresholds using 3 different PW reference regions (hemispheric, white matter, gray matter). The best model was used for volumetric analysis to compare averaged and scaled individual thresholds and to calculate look-up tables for PW maps. RESULTS In 26 patients, the averaged thresholds were (median/interquartile range): cerebral blood flow 21.7 mL/100 g/min (19.9 to 32); cerebral blood volume 1.5 mL/100 g (0.9 to 1.8); mean transit time seconds 5.2 (3.9 to 6.9); and relative time to peak 4.2 seconds (2.8 to 5.8). The large individual variability was best explained by the mean value of the hemispheric reference derived from a region of interest on a level with the basal ganglia of the unaffected hemisphere (R(2): cerebral blood flow 0.76, cerebral blood volume 0.55, mean transit time 0.83, time to peak 0.95). Hemispheric reference-corrected thresholds clearly improved the detection of penumbral flow. Look-up tables were calculated to identify the individual thresholds according to the hemispheric reference value. CONCLUSIONS The individual variation of PW values, even if calculated by deconvolution, remains a major obstacle in quantitative PW imaging and can be significantly improved by a simple MR-based calibration. Easily applicable look-up tables identify the individual best threshold for each PW map to optimize mismatch detection.
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Affiliation(s)
- Olivier Zaro-Weber
- Max Planck Institute for Neurological Research, Gleueler Str 50, 50931 Cologne, Germany.
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Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence. J Cereb Blood Flow Metab 2010; 30:703-17. [PMID: 20087362 PMCID: PMC2949172 DOI: 10.1038/jcbfm.2010.5] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Despite promising results in preclinical stroke research, translation of experimental data into clinical therapy has been difficult. One reason is the heterogeneity of the disease with outcomes ranging from complete recovery to continued decline. A successful treatment in one situation may be ineffective, or even harmful, in another. To overcome this, treatment must be tailored according to the individual based on identification of the risk of damage and estimation of potential recovery. Neuroimaging, particularly magnetic resonance imaging (MRI), could be the tool for a rapid comprehensive assessment in acute stroke with the potential to guide treatment decisions for a better clinical outcome. This review describes current MRI techniques used to characterize stroke in a preclinical research setting, as well as in the clinic. Furthermore, we will discuss current developments and the future potential of neuroimaging for stroke outcome prediction.
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Hadjiev DI, Mineva PP. Transient ischemic attack may present a target for normobaric hyperoxia treatment. Med Hypotheses 2010; 75:128-30. [PMID: 20193987 DOI: 10.1016/j.mehy.2010.02.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2010] [Accepted: 02/10/2010] [Indexed: 11/25/2022]
Abstract
According to the new revised tissue-based definition, transient ischemic attack is a transient episode of neurological dysfunction caused by a focal brain, spinal cord, or retinal ischemia without acute infarction. This review addresses the pathophysiology of transient ischemic attack and the impact of normobaric hyperoxia on the penumbral tissue. Neuroimaging in transient ischemic attack patients and advances in penumbra imaging allow the transient ischemic attack, from pathophysiological viewpoint, to be defined as an ischemic penumbra of varied duration, which could proceed to a cerebral infarction or reduce to a benign oligemia. Persisting perfusion abnormalities are observed, despite resolution of the neurological symptoms. Preclinical and clinical studies have shown that the normobaric hyperoxia treatment is associated with improvement of hemodynamic and metabolic disturbances, particularly in the penumbral tissue. Transient ischemic attack, considered an ischemic penumbra, may present an ideal target for early normobaric hyperoxia therapy, administered as soon as possible after the onset of the neurological deficit. Follow-up perfusion imaging could guide and individualize the treatment.
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González RG, Hakimelahi R, Schaefer PW, Roccatagliata L, Sorensen AG, Singhal AB. Stability of large diffusion/perfusion mismatch in anterior circulation strokes for 4 or more hours. BMC Neurol 2010; 10:13. [PMID: 20146800 PMCID: PMC2830931 DOI: 10.1186/1471-2377-10-13] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2009] [Accepted: 02/10/2010] [Indexed: 11/17/2022] Open
Abstract
Background The stability of hypoperfused brain tissue in stroke patients with major artery occlusions is unknown. The purpose of this study was to determine the persistence of a diffusion/perfusion mismatch in patients with ICA or proximal MCA occlusions. Methods Fourteen patients with ICA and/or proximal MCA occlusion and a diffusion/perfusion mismatch at presentation were studied. All were enrolled in a pilot randomized study of normobaric oxygen therapy. None received thrombolytic therapy; 8 received normobaric oxygen and 6 room air. Diffusion/perfusion MRI was performed at baseline, 4 hours, 24 hours, and 1 week. Abnormal DWI, ADC, and MTT volumes were determined using standard image analysis methods. Results The mean time from symptom onset to baseline MRI was 7.5 ± 1 hours. Across all 4 time points there was a significant difference in DWI lesion (ANOVA, P < 0.0001) and abnormal MTT volumes (ANOVA, P < 0.01) with the 24 hour and 1 week abnormal volumes different from the earlier studies. However, comparing baseline and 4 hour scans, there was no significant interval change in the mean abnormal DWI volume (29.4 ± 8.2 ml vs. 28.1 ± 7.4 ml) or abnormal MTT volumes (137 ± 17.7 ml vs. 130.9 ± 13.8). By 24 hours, only 2 patients did not maintain a mismatch of 20% or greater. Conclusions Patients who present outside the time window for thrombolytic therapy, and who have a large diffusion/perfusion mismatch on MRI may have a stable mismatch for 4 or more hours.
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Affiliation(s)
- R Gilberto González
- Neuroradiology Division, Department of Radiology, Massachusetts General Hospital, Boston, Harvard Medical School, Boston, MA 02114, USA.
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Sorensen AG, Heiss WD. Advances in imaging 2009. Stroke 2010; 41:e91-2. [PMID: 20075337 DOI: 10.1161/strokeaha.109.575407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Imaging remains a mainstay of stroke diagnosis and treatment. 2009 brought much that was new: increased scrutiny of the safety of imaging; evidence of improved technical capabilities of imaging; new findings based on imaging; and as a result of the above, evidence that the field has definite needs. We will briefly cover each of these in turn.
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Affiliation(s)
- A Gregory Sorensen
- Department of Neuroradiology, Massachusetts General Hospital, Boston, Mass., USA.
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Zaro-Weber O, Moeller-Hartmann W, Heiss WD, Sobesky J. MRI perfusion maps in acute stroke validated with 15O-water positron emission tomography. Stroke 2010; 41:443-9. [PMID: 20075355 DOI: 10.1161/strokeaha.109.569889] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Perfusion-weighted imaging maps are used to identify hypoperfusion in acute ischemic stroke. We evaluated maps of cerebral blood flow (CBF), cerebral blood volume, mean transit time, and time to peak (TTP) in acute stroke by comparison with positron emission tomography. METHODS Perfusion-weighted imaging and positron emission tomography were performed in 26 patients with acute ischemic stroke (median 18.5 hours after stroke onset, 65 minutes between MRI and positron emission tomography). The perfusion-weighted imaging-derived maps of CBF, cerebral blood volume, mean transit time, and TTP delay were compared with quantitative positron emission tomography CBF. A receiver-operating characteristic curve analysis identified the best perfusion-weighted imaging map and threshold to identify hypoperfusion <20 mL/100 g/min, a widely used measure of penumbral flow. RESULTS Individual regression analysis of positron emission tomography CBF and perfusion-weighted imaging values were strong for CBF and TTP delay and weaker for mean transit time and cerebral blood volume, but the pooled analysis showed a large variance. Receiver-operating characteristic curve analysis identified TTP and CBF maps as most predictive (median area under the curve=0.94 and 0.93). Penumbral flow thresholds were <21.7 mL/100 g/min (CBF), <1.5 mL/100 g (cerebral blood volume), >5.3 seconds (mean transit time), and >4.2 seconds (TTP). TTP and CBF maps reached sensitivity/specificity values of 91%/82% and 89%/87%. CONCLUSIONS In our sample, maps of CBF, TTP, and mean transit time yielded a good estimate of penumbral flow. The performance of TTP maps was equivalent to deconvolution techniques using an arterial input function. For all maps, the application of a predefined threshold is mandatory and calibration studies will enhance their use in acute stroke therapy as well as in clinical stroke trials.
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Affiliation(s)
- Olivier Zaro-Weber
- Department of Neurology, University of Cologne, Max Planck Institute for Neurological Research, Gleueler Str 50, 50931 Cologne, Germany.
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Modo M. Long-term survival and serial assessment of stroke damage and recovery - practical and methodological considerations. ACTA ACUST UNITED AC 2009; 2:52-68. [PMID: 22389748 DOI: 10.6030/1939-067x-2.2.52] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Impairments caused by stroke remain the main cause for adult disability. Despite a vigorous research effort, only 1 thrombolytic treatment has been approved in acute stroke (<3h). The limitations of preclinical studies and how these can be overcome have been the subject of various guidelines. However, often these guidelines focus on the acute stroke setting and omit long-term outcome measures, such as behaviour and neuroimaging. The considerations and practicalities of including the serial assessment of these approaches and their significance to establish therapeutic efficacy are discussed here.
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Affiliation(s)
- Michel Modo
- King's College London, Institute of Psychiatry, Department of Neuroscience, London, UK
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