Literature DB >> 18381944

Glioma proliferation as assessed by 3'-fluoro-3'-deoxy-L-thymidine positron emission tomography in patients with newly diagnosed high-grade glioma.

Roland Ullrich1, Heiko Backes, Hongfeng Li, Lutz Kracht, Hrvoje Miletic, Kristina Kesper, Bernd Neumaier, Wolf-Dieter Heiss, Klaus Wienhard, Andreas H Jacobs.   

Abstract

PURPOSE: The aim of this study was to investigate the relationship between the in vivo derived kinetic parameters of 3'-deoxy-3'-(18)F-fluorothymidine ((18)F-FLT) and the proliferation rate measured in vitro by Ki-67 staining in patients with newly diagnosed high-grade gliomas. EXPERIMENTAL
DESIGN: Thirteen patients with newly diagnosed high-grade gliomas were investigated with (18)F-FLT and methyl-(11)C- l-methionine ((11)C-MET) positron emission tomography (PET) and T1-, Gd-T1-, and T2-weighted magnetic resonance imaging on consecutive days. Tracer kinetic parameters of (18)F-FLT as well as the standardized uptake value and the tumor-to-background (T/B) ratio of (18)F-FLT and (11)C-MET were determined. Data of kinetic modeling, standardized uptake value, and T/B values derived from (18)F-FLT-PET were compared with T/B values derived from (11)C-MET-PET and to the in vitro proliferation marker Ki-67.
RESULTS: A significant correlation was observed between the metabolic rate constant Ki and the proliferation index as measured by Ki-67 immunostaining [Ki, r=0.79 (P=0.004)]. Also, the phosphorylation rate constant k3 correlated with Ki-67 [k3, r=0.76 (P=0.006)], whereas the rate constant for transport through the blood brain barrier K1 showed a weaker correlation with Ki-67 [K1, r=0.62 (P=0.044)]. No significant correlation between (11)C-MET and (18)F-FLT uptake ratios and Ki-67 was observed.
CONCLUSIONS: This study shows that kinetic analysis of (18)F-FLT tracer uptake is essential for the in vivo assessment of tumor proliferation in high-grade gliomas, whereas uptake ratios of (11)C-MET and (18)F-FLT failed to correlate with the in vitro determined proliferation marker. Thus, kinetic analysis of (18)F-FLT might provide an accurate method for the assessment of early response to glioma treatment in the future.

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Year:  2008        PMID: 18381944     DOI: 10.1158/1078-0432.CCR-07-1553

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  46 in total

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Authors:  Maria Adele Rueger; Heiko Backes; Maureen Walberer; Bernd Neumaier; Roland Ullrich; Marie-Lune Simard; Beata Emig; Gereon Rudolf Fink; Mathias Hoehn; Rudolf Graf; Michael Schroeter
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4.  Response to "reply to [18F]-fluoro-ethyl-L-tyrosine PET: a valuable diagnostic tool in neuro-oncology, but not all that glitters is glioma" by Hutterer et al.

Authors:  Markus Hutterer; Martha Nowosielski; Daniel Putzer; Christian la Fougère; Irene J Virgolini; Andreas H Jacobs; Günther Stockhammer
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Review 5.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
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6.  Heterogeneity in stabilization phenomena in FLT PET images of canines.

Authors:  Urban Simoncic; Robert Jeraj
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7.  Computational modelling of anti-angiogenic therapies based on multiparametric molecular imaging data.

Authors:  Benjamin Titz; Kevin R Kozak; Robert Jeraj
Journal:  Phys Med Biol       Date:  2012-09-13       Impact factor: 3.609

8.  PET radiopharmaceuticals for probing enzymes in the brain.

Authors:  Jason P Holland; Paul Cumming; Neil Vasdev
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-04-09

9.  Evaluation of 3'-deoxy-3'-[18F]-fluorothymidine (18F-FLT) kinetics correlated with thymidine kinase-1 expression and cell proliferation in newly diagnosed gliomas.

Authors:  Aya Shinomiya; Nobuyuki Kawai; Masaki Okada; Keisuke Miyake; Takehiro Nakamura; Yoshio Kushida; Reiji Haba; Nobuyuki Kudomi; Yuka Yamamoto; Masaaki Tokuda; Takashi Tamiya
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-15       Impact factor: 9.236

10.  Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model.

Authors:  Christina H Wang; Jason K Rockhill; Maciej Mrugala; Danielle L Peacock; Albert Lai; Katy Jusenius; Joanna M Wardlaw; Timothy Cloughesy; Alexander M Spence; Russ Rockne; Ellsworth C Alvord; Kristin R Swanson
Journal:  Cancer Res       Date:  2009-11-24       Impact factor: 12.701

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