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Tytuł:
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Standardized Evaluation of Cerebral Arteriovenous Malformations Using Flow Distribution Network Graphs and Dual-venc 4D Flow MRI.
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Autorzy:
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Aristova M; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; McCormick School of Engineering, Biomedical Engineering, Northwestern University, Evanston, USA.
Vali A; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Ansari SA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Shaibani A; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Alden TD; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Hurley MC; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Jahromi BS; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Potts MB; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Markl M; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.; McCormick School of Engineering, Biomedical Engineering, Northwestern University, Evanston, USA.
Schnell S; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
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Źródło:
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Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2019 Dec; Vol. 50 (6), pp. 1718-1730. Date of Electronic Publication: 2019 May 09.
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Typ publikacji:
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Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: <2005-> : Hoboken , N.J. : Wiley-Liss
Original Publication: Chicago, IL : Society for Magnetic Resonance Imaging, c1991-
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MeSH Terms:
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Computer Graphics/*standards
Image Processing, Computer-Assisted/*standards
Intracranial Arteriovenous Malformations/*diagnostic imaging
Magnetic Resonance Angiography/*standards
Regional Blood Flow/*physiology
Adult ; Aged ; Cerebral Angiography/standards ; Cohort Studies ; Female ; Humans ; Male ; Middle Aged ; Phantoms, Imaging ; Retrospective Studies ; Sensitivity and Specificity
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References:
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Grant Information:
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F30 HL140910 United States HL NHLBI NIH HHS; 18POST33990451 United States AHA American Heart Association-American Stroke Association; UL1 TR001422 United States TR NCATS NIH HHS; R01 HL117888 United States HL NHLBI NIH HHS; T32 GM008152 United States GM NIGMS NIH HHS; T32 GM144295 United States GM NIGMS NIH HHS; 16SDG30420005 United States AHA American Heart Association-American Stroke Association; R21 NS106696 United States NS NINDS NIH HHS
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Contributed Indexing:
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Keywords: 4D flow; arteriovenous malformation; intracranial; quantitative imaging biomarker; vascular
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Entry Date(s):
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Date Created: 20190510 Date Completed: 20201029 Latest Revision: 20221111
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Update Code:
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20240105
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PubMed Central ID:
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PMC6842032
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DOI:
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10.1002/jmri.26784
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PMID:
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31070849
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Background: Cerebral arteriovenous malformations (AVMs) are pathological connections between arteries and veins. Dual-venc 4D flow MRI, an extended 4D flow MRI method with improved velocity dynamic range, provides time-resolved 3D cerebral hemodynamics.
Purpose: To optimize dual-venc 4D flow imaging parameters for AVM; to assess the relationship between spatial resolution, acceleration, and flow quantification accuracy; and to introduce and apply the flow distribution network graph (FDNG) paradigm for storing and analyzing complex neurovascular 4D flow data.
Study Type: Retrospective cohort study.
Subjects/phantom: Scans were performed in a specialized flow phantom: 26 healthy subjects (age 41 ± 17 years) and five AVM patients (age 27-68 years).
Field Strength/sequence: Dual-venc 4D flow with varying spatial resolution and acceleration factors were performed at 3T field strength.
Assessment: Quantification accuracy was assessed in vitro by direct comparison to measured flow. FDNGs were used to quantify and compare flow, peak velocity (PV), and pulsatility index (PI) between healthy controls with various Circle of Willis (CoW) anatomy and AVM patients.
Statistical Tests: In vitro measurements were compared to ground truth with Student's t-test. In vivo groups were compared with Wilcoxon rank-sum test and Kruskal-Wallis test.
Results: Flow was overestimated in all in vitro experiments, by an average 7.1 ± 1.4% for all measurement conditions. Error in flow measurement was significantly correlated with number of voxels across the channel (P = 3.11 × 10 -28 ) but not with acceleration factor (P = 0.74). For the venous-arterial PV and PI ratios, a significant difference was found between AVM nidal and extranidal circulation (P = 0.008 and 0.05, respectively), and between AVM nidal and healthy control circulation (P = 0.005 and 0.003, respectively).
Data Conclusion: Dual-venc 4D flow MRI and standardized FDNG analysis might be feasible in clinical applications. Venous-arterial ratios of PV and PI are proposed as network-based biomarkers characterizing AVM nidal hemodynamics.
Level of Evidence: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1718-1730.
(© 2019 International Society for Magnetic Resonance in Medicine.)
Erratum in: J Magn Reson Imaging. 2020 Nov;52(5):1571-1574. (PMID: 32810352)
