Literature DB >> 24473365

Visualization of perivascular spaces and perforating arteries with 7 T magnetic resonance imaging.

Willem H Bouvy1, Geert Jan Biessels, Hugo J Kuijf, L Jaap Kappelle, Peter R Luijten, Jaco J M Zwanenburg.   

Abstract

OBJECTIVES: The objectives of this study were to explore the possibilities of 7 T brain magnetic resonance imaging to visualize perivascular spaces (PVS) and to depict their related blood vessels.
MATERIALS AND METHODS: Five subjects aged 19 to 27 years and 5 subjects aged 51 to 72 years were scanned. High-resolution 3-dimensional T1-, T2-, as well as T2*-weighted sequences and time-of-flight angiography were used for the visualization of PVS, veins, and perforating arteries. Three extra subjects were scanned with a 2-dimensional time-of-flight sequence tailored to visualize small arteries and veins in the semioval center. The anatomy of PVS and their spatial relation with blood vessels were examined. The number and size of PVS in the semioval center were compared between the 2 groups.
RESULTS: In the basal ganglia, PVS were connected to the basal cisterns. Prominent dilations were observed in these PVS around the lower end of the putamen. From here, they ran upward and frequently showed caliber changes along their track. In the semioval center, smoothly shaped PVS started a few millimeters below the cortex, converged and tapered toward the ventricles, and ended 1 to 2 cm before the ventricle wall. Perivascular spaces correlated spatially with lenticulostriate arteries and with perforating arteries in the semioval center, but not with veins. The mean (SD) number of PVS was larger in the older subjects (55 [14]) than in the younger subjects (22 [11]), (P = 0.004). No difference in PVS diameter was observed.
CONCLUSIONS: Seven-tesla magnetic resonance imaging offers detailed 3-dimensional visualization of PVS, their morphological features, and their related perforating arteries. This may offer new opportunities to study the role of PVS in ageing and cerebral small vessel disease.

Entities:  

Mesh:

Year:  2014        PMID: 24473365     DOI: 10.1097/RLI.0000000000000027

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  37 in total

1.  Visualization and Classification of Deeply Seated Collateral Networks in Moyamoya Angiopathy with 7T MRI.

Authors:  T Matsushige; M Kraemer; T Sato; P Berlit; M Forsting; M E Ladd; R Jabbarli; U Sure; N Khan; M Schlamann; K H Wrede
Journal:  AJNR Am J Neuroradiol       Date:  2018-06-07       Impact factor: 3.825

2.  Linear sign in cystic brain lesions ≥5 mm: A suggestive feature of perivascular space.

Authors:  Jinkyeong Sung; Jinhee Jang; Hyun Seok Choi; So-Lyung Jung; Kook-Jin Ahn; Bum-Soo Kim
Journal:  Eur Radiol       Date:  2017-05-24       Impact factor: 5.315

3.  Time-resolved 3D Rotational Angiography (4D DSA) of the Lenticulostriate Arteries: Display of Normal Anatomic Variants and Collaterals in Cases with Chronic Obstruction of the MCA.

Authors:  S Kammerer; M Mueller-Eschner; J Berkefeld; S Tritt
Journal:  Clin Neuroradiol       Date:  2017-03-28       Impact factor: 3.649

Review 4.  Vascular Cognitive Impairment and Dementia: JACC Scientific Expert Panel.

Authors:  Costantino Iadecola; Marco Duering; Vladimir Hachinski; Anne Joutel; Sarah T Pendlebury; Julie A Schneider; Martin Dichgans
Journal:  J Am Coll Cardiol       Date:  2019-07-02       Impact factor: 24.094

Review 5.  Understanding the role of the perivascular space in cerebral small vessel disease.

Authors:  Rosalind Brown; Helene Benveniste; Sandra E Black; Serge Charpak; Martin Dichgans; Anne Joutel; Maiken Nedergaard; Kenneth J Smith; Berislav V Zlokovic; Joanna M Wardlaw
Journal:  Cardiovasc Res       Date:  2018-09-01       Impact factor: 10.787

6.  Perivascular space fluid contributes to diffusion tensor imaging changes in white matter.

Authors:  Farshid Sepehrband; Ryan P Cabeen; Jeiran Choupan; Giuseppe Barisano; Meng Law; Arthur W Toga
Journal:  Neuroimage       Date:  2019-04-30       Impact factor: 6.556

7.  MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength.

Authors:  Erin L Boespflug; Daniel L Schwartz; David Lahna; Jeffrey Pollock; Jeffrey J Iliff; Jeffrey A Kaye; William Rooney; Lisa C Silbert
Journal:  Radiology       Date:  2017-08-29       Impact factor: 11.105

8.  Segmentation of perivascular spaces in 7T MR image using auto-context model with orientation-normalized features.

Authors:  Sang Hyun Park; Xiaopeng Zong; Yaozong Gao; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2016-04-01       Impact factor: 6.556

9.  Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors.

Authors:  Willem H Bouvy; Jaco J M Zwanenburg; Rik Reinink; Laura E M Wisse; Peter R Luijten; L Jaap Kappelle; Mirjam I Geerlings; Geert Jan Biessels
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-06       Impact factor: 6.200

Review 10.  Perivascular spaces in the brain: anatomy, physiology and pathology.

Authors:  Joanna M Wardlaw; Helene Benveniste; Maiken Nedergaard; Berislav V Zlokovic; Humberto Mestre; Hedok Lee; Fergus N Doubal; Rosalind Brown; Joel Ramirez; Bradley J MacIntosh; Allen Tannenbaum; Lucia Ballerini; Ravi L Rungta; Davide Boido; Melanie Sweeney; Axel Montagne; Serge Charpak; Anne Joutel; Kenneth J Smith; Sandra E Black
Journal:  Nat Rev Neurol       Date:  2020-02-24       Impact factor: 42.937

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