Literature DB >> 25877634

Quantification of blood-to-brain transfer rate in multiple sclerosis.

Saeid Taheri1, Gary A Rosenberg2, Corey Ford3.   

Abstract

Blood-brain barrier (BBB) disruption visualized in lesions by MRI is a major biomarker of disease activity in multiple sclerosis (MS). However, in MS, destruction occurs to a variable extent in lesions as well as in gray matter (GM) and in the normal appearing white matter (NAWM). A method to quantify the BBB disruption in lesions as well as in non-lesion areas would be useful for assessment of MS progression and treatments. The objective of this study was to quantify the BBB transfer rate (Ki) in WM lesions, in the NAWM, and in the full-brain of MS patients. Thirteen MS patients with active lesions and 10 healthy controls with age and gender matching were recruited for full-brain and WM Ki studies. Dynamic contrast-enhanced MRI (DCEMRI) scans were conducted using T1 mapping with partial inversion recovery (TAPIR), a fast T1 mapping technique, following administration of a quarter-dose of the contrast agent Gadolinium-DTPA (Gd-DTPA). The Patlak modeling technique was used to derive a voxel-based map of Ki. In all patients contrast-enhanced lesions, quantified by Ki maps, were observed. Compared with controls, patients with MS exhibited an increase in mean Ki of the full-brain (P-value<0.05) but no significant difference in mean Ki of NAWM. The identified increase in full-brain Ki of MS patients suggests a global vascular involvement associated with MS disease. The lack of observed significant decrease in Ki in NAWM suggests lower involvement of WM vasculature than full-brain vasculature in MS. Ki maps constructed from time series data acquired by DCEMRI provide additional information about BBB that could be used for evaluation of vascular involvement in MS and monitoring treatment effectiveness.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood–brain barrier; Dynamic contrast-enhanced magnetic resonance imaging; Fast T1 mapping; Gadolinium; Multiple sclerosis; Transfer rate

Year:  2012        PMID: 25877634      PMCID: PMC4874521          DOI: 10.1016/j.msard.2012.09.003

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  51 in total

1.  Blood-brain barrier permeability abnormalities in vascular cognitive impairment.

Authors:  Saeid Taheri; Charles Gasparovic; Branko N Huisa; John C Adair; Elaine Edmonds; Jillian Prestopnik; Mark Grossetete; N Jon Shah; John Wills; Clifford Qualls; Gary A Rosenberg
Journal:  Stroke       Date:  2011-06-30       Impact factor: 7.914

2.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations.

Authors:  C S Patlak; R G Blasberg
Journal:  J Cereb Blood Flow Metab       Date:  1985-12       Impact factor: 6.200

Review 3.  Morphofunctional aspects of the blood-brain barrier.

Authors:  Beatrice Nico; Domenico Ribatti
Journal:  Curr Drug Metab       Date:  2012-01       Impact factor: 3.731

Review 4.  Progressive multiple sclerosis and gray matter pathology: an MRI perspective.

Authors:  Matilde Inglese; Niels Oesingmann; Patrizia Casaccia; Lazar Fleysher
Journal:  Mt Sinai J Med       Date:  2011 Mar-Apr

Review 5.  Tight junctions in brain barriers during central nervous system inflammation.

Authors:  Caroline Coisne; Britta Engelhardt
Journal:  Antioxid Redox Signal       Date:  2011-05-25       Impact factor: 8.401

6.  Gray matter atrophy in multiple sclerosis: a longitudinal study.

Authors:  Elizabeth Fisher; Jar-Chi Lee; Kunio Nakamura; Richard A Rudick
Journal:  Ann Neurol       Date:  2008-09       Impact factor: 10.422

7.  Spatiotemporal correlations between blood-brain barrier permeability and apparent diffusion coefficient in a rat model of ischemic stroke.

Authors:  Saeid Taheri; Eduardo Candelario-Jalil; Eduardo Y Estrada; Gary A Rosenberg
Journal:  PLoS One       Date:  2009-08-11       Impact factor: 3.240

8.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

9.  Quantitative contrast-enhanced magnetic resonance imaging to evaluate blood-brain barrier integrity in multiple sclerosis: a preliminary study.

Authors:  N C Silver; P S Tofts; M R Symms; G J Barker; A J Thompson; D H Miller
Journal:  Mult Scler       Date:  2001-04       Impact factor: 6.312

10.  Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade.

Authors:  H C Roberts; T P Roberts; R C Brasch; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2000-05       Impact factor: 4.966

View more
  4 in total

1.  Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.

Authors:  Stig P Cramer; Henrik B W Larsson
Journal:  J Cereb Blood Flow Metab       Date:  2014-07-30       Impact factor: 6.200

Review 2.  Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol.

Authors:  Joao Prola Netto; Jeffrey Iliff; Danica Stanimirovic; Kenneth A Krohn; Bronwyn Hamilton; Csanad Varallyay; Seymur Gahramanov; Heike Daldrup-Link; Christopher d'Esterre; Berislav Zlokovic; Haris Sair; Yueh Lee; Saeid Taheri; Rajan Jain; Ashok Panigrahy; Daniel S Reich; Lester R Drewes; Mauricio Castillo; Edward A Neuwelt
Journal:  Neurosurgery       Date:  2018-06-01       Impact factor: 4.654

3.  Blood-brain barrier breakdown in the aging human hippocampus.

Authors:  Axel Montagne; Samuel R Barnes; Melanie D Sweeney; Matthew R Halliday; Abhay P Sagare; Zhen Zhao; Arthur W Toga; Russell E Jacobs; Collin Y Liu; Lilyana Amezcua; Michael G Harrington; Helena C Chui; Meng Law; Berislav V Zlokovic
Journal:  Neuron       Date:  2015-01-21       Impact factor: 17.173

4.  Blood-brain barrier permeability measured using dynamic contrast-enhanced magnetic resonance imaging: a validation study.

Authors:  Aravinthan Varatharaj; Maria Liljeroth; Angela Darekar; Henrik B W Larsson; Ian Galea; Stig P Cramer
Journal:  J Physiol       Date:  2018-11-29       Impact factor: 6.228

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.