Literature DB >> 17945980

Cell number quantification of USPIO-labeled stem cells by MRI: an in vitro study.

Jerry S Cheung1, April M Chow, Edward S Hui, Jian Yang, Hung-Fat Tse, Ed X Wu.   

Abstract

MRI plays an expanding role in stem cell therapies. The non-invasive nature and high spatial resolution of MR imaging make MR imaging a powerful tool to investigate biologic processes at the molecular and cellular level in vivo longitudinally. Quantitative detection of stem cells after transplantation may allow assessment of stem cell localization and migration, and monitoring of the therapeutic effectiveness of stem cell therapy. In this study, we present a technique for MR quantification of magnetically labeled mouse embryonic stem cells distributed or injected in agarose gel phantoms. Apparent transverse relaxation rate enhancements (DeltaR2*) were measured by gradient echo sequences. The linear relationship between DeltaR2* and the concentration of USPIO-labeled mouse embryonic stem cells was observed and used for quantifying cell density and cell number after injection or transplantation. The MRI acquisition and analysis protocol were validated by good agreement between actual cell numbers and MRI-estimated cell numbers over a wide range of cell numbers. This MR technique for cell number and cell density quantification is applicable to future in vivo studies.

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Year:  2006        PMID: 17945980     DOI: 10.1109/IEMBS.2006.259696

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  A novel (19)F agent for detection and quantification of human dendritic cells using magnetic resonance imaging.

Authors:  Fernando Bonetto; Mangala Srinivas; Arend Heerschap; Robbie Mailliard; Eric T Ahrens; Carl G Figdor; I Jolanda M de Vries
Journal:  Int J Cancer       Date:  2010-11-03       Impact factor: 7.316

2.  A manganese porphyrin-based T1 contrast agent for cellular MR imaging of human embryonic stem cells.

Authors:  Andrei Venter; Daniel A Szulc; Sadi Loai; Tameshwar Ganesh; Inga E Haedicke; Hai-Ling Margaret Cheng
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

  2 in total

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