Imaging Oxygen Metabolism in Acute Stroke Using MRI

An, Hongyu; Ford, Andria L.; Vo, Katie D.; Li, Renjie; Chen, Yasheng; Lee, Jin-Moo; Lin, Weili

doi:10.1007/s40134-013-0039-3

Cited by 24 publications

(22 citation statements)

References 85 publications

(91 reference statements)

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“…[141][142][143] It is beyond the scope of this statement to review all of the literature on the utility of multimodal imaging in thrombolytic therapy. However, to date, these techniques have not been shown definitively in RCTs to be a valid selection tool for thrombolytic therapy in patients with ischemic stroke and have the potential to significantly delay treatment times.…”

Section: Demaerschalk Et Al Intravenous Alteplase In Acute Ischemic Smentioning

confidence: 99%

Scientific Rationale for the Inclusion and Exclusion Criteria for Intravenous Alteplase in Acute Ischemic Stroke

Demaerschalk¹,

Kleindorfer²,

Adeoye³

et al. 2016

Stroke

585

237

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Purpose-To critically review and evaluate the science behind individual eligibility criteria (indication/inclusion and contraindications/exclusion criteria) for intravenous recombinant tissue-type plasminogen activator (alteplase) treatment in acute ischemic stroke. This will allow us to better inform stroke providers of quantitative and qualitative risks associated with alteplase administration under selected commonly and uncommonly encountered clinical circumstances and to identify future research priorities concerning these eligibility criteria, which could potentially expand the safe and judicious use of alteplase and improve outcomes after stroke. Methods-Writing group members were nominated by the committee chair on the basis of their previous work in relevant topic areas and were approved by the American Heart Association Stroke Council's Scientific Statement Oversight Committee and the American Heart Association's Manuscript Oversight Committee. The writers used systematic literature reviews, references to published clinical and epidemiology studies, morbidity and mortality reports, clinical and public health guidelines, authoritative statements, personal files, and expert opinion to summarize existing evidence and to indicate gaps in current knowledge and, when appropriate, formulated recommendations using standard American Heart Association criteria. All members of the writing group had the opportunity to comment on and approved the final version of this document. The document underwent extensive American Heart Association internal peer review, Stroke The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on September 24, 2015, and the American Heart Association Executive Committee on October 5, 2015. A copy of the document is available at http://my.americanheart.org/statements by selecting either the "By Topic" link or the "By Publication Date" link. To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@ wolterskluwer.com.The online-only Data Supplement, which contains literature search strategies and Figures A, B, and C, is available with this article at http://circ. ahajournals.org/lookup/suppl/doi:10.1161/STR.0000000000000086/-/DC1.The American Heart Association requests that this document be cited as follows: Demaerschalk BM, Kleindorfer DO, Adeoye OM, Demchuk AM, Fugate JE, Grotta JC, Khalessi AA, Levy EI, Palesch YY, Prabhakaran S, Saposnik G, Saver JL, Smith EE; on behalf of the American Heart Association Stroke Council and Council on Epidemiology and Prevention. Scientific rational...

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Section: Demaerschalk Et Al Intravenous Alteplase In Acute Ischemic Smentioning

confidence: 99%

Scientific Rationale for the Inclusion and Exclusion Criteria for Intravenous Alteplase in Acute Ischemic Stroke

Demaerschalk¹,

Kleindorfer²,

Adeoye³

et al. 2016

Stroke

585

237

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“…In principle, detection of an anti‐oxidant such as carnosine would be interesting to compare with oxygen sensitive MRI measurements such as BOLD , SWI or EOF . Carnosine antioxidant activity is attributed to its ability to chelate metals with its imidazole ring and free radical scavenging .…”

Section: Discussionmentioning

confidence: 99%

Amide proton transfer of carnosine in aqueous solution studied in vitro by WEX and CEST experiments

et al. 2015

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Amide protons of peptide bonds induce an important chemical exchange saturation transfer (CEST) contrast in vivo. As a simple in vitro model for a peptide amide proton CEST effect, we suggest herein the dipeptide carnosine. We show that the metabolite carnosine creates a CEST effect and we study the properties of the exchange of the amide proton (-NH) of the carnosine peptide bond (NHCPB) in model solutions for a pH range from 6 to 8.3 and a temperature range from T = 5 °C to 43 °C by means of CEST and water exchange spectroscopy (WEX) experiments on a 3 T whole-body MR tomograph. The dependence of the NHCPB chemical exchange rate k(sw) on pH and temperature T was determined using WEX. For physiological conditions (T = 37 °C, pH = 7.10) we obtained k(sw) = (47.07 ± 7.90)/s. With similar chemical shift and exchange properties to amide protons in vivo, carnosine forms a simple model system for optimization of CEST pulse sequences in vitro. The potential for direct detection of the metabolite carnosine in vivo is discussed.

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“…Knowledge of tissue oxygenation parameters such as the oxygen extraction fraction (OEF) is valuable in the diseased brain for both treatment planning and assessment because these are proven biomarkers for tissue vitality and viability. 1,2 However, despite the fact that quantification of brain oxygenation using MRI has been extensively studied over the years and successfully applied to stroke, 3,4 carotid artery stenosis, 5 and brain tumors, [6][7][8] for example, thus far no approach has found its way into clinical routine. Many methods require a high SNR [9][10][11] or vascular challenge, 12,13 are prone to biases due to several independent measurements, 14 or are limited to larger vessels.…”

Section: Introductionmentioning

confidence: 99%

Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD

Hubertus

Thomas

Cho

et al. 2019

Magnetic Resonance in Med

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Purpose To apply an artificial neural network (ANN) for fast and robust quantification of the oxygen extraction fraction (OEF) from a combined QSM and quantitative BOLD analysis of gradient echo data and to compare the ANN to a traditional quasi‐Newton (QN) method for numerical optimization. Methods Random combinations of OEF, deoxygenated blood volume (ν), R2, and nonblood magnetic susceptibility (χnb) with each parameter following a Gaussian distribution that represented physiological gray matter and white matter values were used to simulate quantitative BOLD signals and QSM values. An ANN was trained with the simulated data with added Gaussian noise. The ANN was applied to multigradient echo brain data of 7 healthy subjects, and the reconstructed parameters and maps were compared to QN results using Student t test and Bland‐Altman analysis. Results Intersubject means and SDs of gray matter were OEF =43.5±0.8%, R2=13.5±0.3 Hz, ν=3.4±0.1%, χnb=-25±5 ppb for ANN; and OEF = 43.8±5.2%, R2=12.2±0.8 Hz, ν=4.2±0.6%, χnb=-39±7 ppb for QN, with a significant difference (P<0.05) for R2, ν, and χnb. For white matter, they were OEF = 47.5±1.1%, R2=17.1±0.4 Hz, ν=2.5±0.2%, χnb=-38±5 ppb for ANN; and OEF =42.3±5.6%, R2=16.7±0.7 Hz, ν=2.9±0.3%, χnb=-45±9 ppb for QN, with a significant difference (P<0.05) for OEF and ν. ANN revealed more gray–white matter contrast but less intersubject variation in OEF than QN. In contrast to QN, the ANN reconstruction did not need an additional sequence for parameter initialization and took approximately 1 s rather than roughly 1 h. Conclusion ANNs allow faster and, with regard to initialization, more robust reconstruction of OEF maps with lower intersubject variation than QN approaches.

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Imaging Oxygen Metabolism in Acute Stroke Using MRI

Cited by 24 publications

References 85 publications

Scientific Rationale for the Inclusion and Exclusion Criteria for Intravenous Alteplase in Acute Ischemic Stroke

Scientific Rationale for the Inclusion and Exclusion Criteria for Intravenous Alteplase in Acute Ischemic Stroke

Amide proton transfer of carnosine in aqueous solution studied in vitro by WEX and CEST experiments

Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD

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