Literature DB >> 27389177

Planning-free cerebral blood flow territory mapping in patients with intracranial arterial stenosis.

Daniel F Arteaga1, Megan K Strother1, L Taylor Davis1, Matthew R Fusco2, Carlos C Faraco1, Brent A Roach1, Allison O Scott1, Manus J Donahue1,3,4,5.   

Abstract

A noninvasive method for quantifying cerebral blood flow and simultaneously visualizing cerebral blood flow territories is vessel-encoded pseudocontinuous arterial spin labeling MRI. However, obstacles to acquiring such information include limited access to the methodology in clinical centers and limited work on how clinically acquired vessel-encoded pseudocontinuous arterial spin labeling data correlate with gold-standard methods. The purpose of this work is to develop and validate a semiautomated pipeline for the online quantification of cerebral blood flow maps and cerebral blood flow territories from planning-free vessel-encoded pseudocontinuous arterial spin labeling MRI with gold-standard digital subtraction angiography. Healthy controls (n = 10) and intracranial atherosclerotic disease patients (n = 34) underwent 3.0 T MRI imaging including vascular (MR angiography) and hemodynamic (cerebral blood flow-weighted arterial spin labeling) MRI. Patients additionally underwent catheter and/or CT angiography. Variations in cross-territorial filling were grouped according to diameters of circle of Willis vessels in controls. In patients, Cohen's k-statistics were computed to quantify agreement in perfusion patterns between vessel-encoded pseudocontinuous arterial spin labeling and angiography. Cross-territorial filling patterns were consistent with circle of Willis anatomy. The intraobserver Cohen's k-statistics for cerebral blood flow territory and digital subtraction angiography perfusion agreement were 0.730 (95% CI = 0.593-0.867; reader one) and 0.708 (95% CI = 0.561-0.855; reader two). These results support the feasibility of a semiautomated pipeline for evaluating major neurovascular cerebral blood flow territories in patients with intracranial atherosclerotic disease.

Entities:  

Keywords:  Angiography; MR angiography; MRI; arterial spin labeling; atherosclerosis; cerebral blood flow territory; cerebrovascular disease; circle of Willis; collaterals; imaging; neuroradiology; vessel-encoded arterial spin labeling

Mesh:

Year:  2016        PMID: 27389177      PMCID: PMC5464691          DOI: 10.1177/0271678X16657573

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  26 in total

1.  A general framework for the analysis of vessel encoded arterial spin labeling for vascular territory mapping.

Authors:  Michael A Chappell; Thomas W Okell; Peter Jezzard; Mark W Woolrich
Journal:  Magn Reson Med       Date:  2010-11       Impact factor: 4.668

Review 2.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

Authors:  Julius Sim; Chris C Wright
Journal:  Phys Ther       Date:  2005-03

3.  Robustness and reproducibility of flow territories defined by planning-free vessel-encoded pseudocontinuous arterial spin-labeling.

Authors:  S Gevers; R P Bokkers; J Hendrikse; C B Majoie; D A Kies; W M Teeuwisse; A J Nederveen; M J van Osch
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-10       Impact factor: 3.825

4.  An Optimized Encoding Scheme for Planning Vessel-Encoded Pseudocontinuous Arterial Spin Labeling.

Authors:  Eleanor S K Berry; Peter Jezzard; Thomas W Okell
Journal:  Magn Reson Med       Date:  2014-10-28       Impact factor: 4.668

5.  Anatomical study of the carotid bifurcation and origin variations of the ascending pharyngeal and superior thyroid arteries.

Authors:  A Al-Rafiah; A A EL-Haggagy; I H A Aal; A I Zaki
Journal:  Folia Morphol (Warsz)       Date:  2011-02       Impact factor: 1.183

6.  Assessment of the contribution of the external carotid artery to brain perfusion in patients with internal carotid artery occlusion.

Authors:  Peter Jan van Laar; Jeroen van der Grond; Jochem P Bremmer; Catharina J M Klijn; Jeroen Hendrikse
Journal:  Stroke       Date:  2008-08-07       Impact factor: 7.914

7.  Time delay processing of hypercapnic fMRI allows quantitative parameterization of cerebrovascular reactivity and blood flow delays.

Authors:  Manus J Donahue; Megan K Strother; Kimberly P Lindsey; Lia M Hocke; Yunjie Tong; Blaise deB Frederick
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-19       Impact factor: 6.200

Review 8.  Atherosclerotic intracranial arterial stenosis: risk factors, diagnosis, and treatment.

Authors:  Christine A Holmstedt; Tanya N Turan; Marc I Chimowitz
Journal:  Lancet Neurol       Date:  2013-11       Impact factor: 44.182

9.  Multi-delay multi-parametric arterial spin-labeled perfusion MRI in acute ischemic stroke - Comparison with dynamic susceptibility contrast enhanced perfusion imaging.

Authors:  Danny J J Wang; Jeffry R Alger; Joe X Qiao; Matthias Gunther; Whitney B Pope; Jeffrey L Saver; Noriko Salamon; David S Liebeskind
Journal:  Neuroimage Clin       Date:  2013-07-06       Impact factor: 4.881

10.  Machine learning for neuroimaging with scikit-learn.

Authors:  Alexandre Abraham; Fabian Pedregosa; Michael Eickenberg; Philippe Gervais; Andreas Mueller; Jean Kossaifi; Alexandre Gramfort; Bertrand Thirion; Gaël Varoquaux
Journal:  Front Neuroinform       Date:  2014-02-21       Impact factor: 4.081

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  7 in total

1.  Cerebral blood flow territory instability in patients with atherosclerotic intracranial stenosis.

Authors:  Daniel F Arteaga; Megan K Strother; Carlos C Faraco; L Taylor Davis; Allison O Scott; Manus J Donahue
Journal:  J Magn Reson Imaging       Date:  2019-04-02       Impact factor: 4.813

2.  Increased variability of watershed areas in patients with high-grade carotid stenosis.

Authors:  Stephan Kaczmarz; Vanessa Griese; Christine Preibisch; Michael Kallmayer; Michael Helle; Isabel Wustrow; Esben Thade Petersen; Hans-Henning Eckstein; Claus Zimmer; Christian Sorg; Jens Göttler
Journal:  Neuroradiology       Date:  2018-01-03       Impact factor: 2.804

Review 3.  Consensus statement on current and emerging methods for the diagnosis and evaluation of cerebrovascular disease.

Authors:  Manus J Donahue; Eric Achten; Petrice M Cogswell; Frank-Erik De Leeuw; Colin P Derdeyn; Rick M Dijkhuizen; Audrey P Fan; Rashid Ghaznawi; Jeremy J Heit; M Arfan Ikram; Peter Jezzard; Lori C Jordan; Eric Jouvent; Linda Knutsson; Richard Leigh; David S Liebeskind; Weili Lin; Thomas W Okell; Adnan I Qureshi; Charlotte J Stagg; Matthias Jp van Osch; Peter Cm van Zijl; Jennifer M Watchmaker; Max Wintermark; Ona Wu; Greg Zaharchuk; Jinyuan Zhou; Jeroen Hendrikse
Journal:  J Cereb Blood Flow Metab       Date:  2017-08-17       Impact factor: 6.200

Review 4.  Neuroimaging of vascular reserve in patients with cerebrovascular diseases.

Authors:  Meher R Juttukonda; Manus J Donahue
Journal:  Neuroimage       Date:  2017-10-12       Impact factor: 6.556

5.  Genetic and Environmental Contributions to Variation in the Posterior Communicating Collaterals of the Circle of Willis.

Authors:  James E Faber; Hua Zhang; Wojciech Rzechorzek; Kathy Z Dai; Benjamin T Summers; Cooper Blazek; Samuel J Hedges
Journal:  Transl Stroke Res       Date:  2018-03-27       Impact factor: 6.829

6.  Measurement of collateral perfusion in acute stroke: a vessel-encoded arterial spin labeling study.

Authors:  Thomas W Okell; George W J Harston; Michael A Chappell; Fintan Sheerin; James Kennedy; Peter Jezzard
Journal:  Sci Rep       Date:  2019-06-03       Impact factor: 4.379

7.  Off-resonance correction for pseudo-continuous arterial spin labeling using the optimized encoding scheme.

Authors:  Eleanor S K Berry; Peter Jezzard; Thomas W Okell
Journal:  Neuroimage       Date:  2019-05-31       Impact factor: 6.556

  7 in total

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