Literature DB >> 23891569

Determination of vascular permeability coefficients under slow luminal filling.

James G Truslow1, Joe Tien.   

Abstract

This Communication describes a method to obtain the permeability product (permeability coefficient normalized by vascular dimensions) from time-lapse intensity data for which the introduction of labeled solute into the vasculature does not occur at a sharply defined time. This method has an error of ~10% across a wide range of filling times and noise levels, and is particularly well-suited for situations in which the permeability coefficient is greater than 10(-6)cm/s. We show that it is applicable whether the increase in vascular solute concentration is sustained or transient.
© 2013.

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Year:  2013        PMID: 23891569      PMCID: PMC3849343          DOI: 10.1016/j.mvr.2013.07.003

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  9 in total

Review 1.  Microvascular permeability.

Authors:  C C Michel; F E Curry
Journal:  Physiol Rev       Date:  1999-07       Impact factor: 37.312

2.  Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition.

Authors:  F Calamante; D G Gadian; A Connelly
Journal:  Magn Reson Med       Date:  2000-09       Impact factor: 4.668

Review 3.  Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability.

Authors:  S P Sourbron; D L Buckley
Journal:  Phys Med Biol       Date:  2011-12-15       Impact factor: 3.609

4.  Delay correction for the assessment of blood-brain barrier permeability using first-pass dynamic perfusion CT.

Authors:  T Schneider; J Hom; J Bredno; J W Dankbaar; S-C Cheng; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2010-06-10       Impact factor: 3.825

5.  Formation of perfused, functional microvascular tubes in vitro.

Authors:  Kenneth M Chrobak; Daniel R Potter; Joe Tien
Journal:  Microvasc Res       Date:  2006-05       Impact factor: 3.514

6.  Optimal duration of acquisition for dynamic perfusion CT assessment of blood-brain barrier permeability using the Patlak model.

Authors:  J Hom; J W Dankbaar; T Schneider; S-C Cheng; J Bredno; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-15       Impact factor: 3.825

7.  Quantitative fluorescence microscopy on single capillaries: alpha-lactalbumin transport.

Authors:  V H Huxley; F E Curry; R H Adamson
Journal:  Am J Physiol       Date:  1987-01

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

Authors:  C S Patlak; R G Blasberg; J D Fenstermacher
Journal:  J Cereb Blood Flow Metab       Date:  1983-03       Impact factor: 6.200

9.  Dynamic perfusion CT assessment of the blood-brain barrier permeability: first pass versus delayed acquisition.

Authors:  J W Dankbaar; J Hom; T Schneider; S-C Cheng; B C Lau; I van der Schaaf; S Virmani; S Pohlman; W P Dillon; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-17       Impact factor: 3.825

  9 in total
  1 in total

1.  Engineering of microscale vascularized fat that responds to perfusion with lipoactive hormones.

Authors:  Xuanyue Li; Jingyi Xia; Calin T Nicolescu; Miles W Massidda; Tyler J Ryan; Joe Tien
Journal:  Biofabrication       Date:  2018-10-30       Impact factor: 9.954

  1 in total

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