Literature DB >> 19070698

Imaging regional variation of cellular proliferation in gliomas using 3'-deoxy-3'-[18F]fluorothymidine positron-emission tomography: an image-guided biopsy study.

S J Price1, T D Fryer, M C Cleij, A F Dean, J Joseph, R Salvador, D D Wang, P J Hutchinson, J C Clark, N G Burnet, J D Pickard, F I Aigbirhio, J H Gillard.   

Abstract

AIM: To compare regional variations in uptake of 3'-deoxy-3'- [(18)F]-fluorothymidine (FLT) images using positron-emission tomography (PET) with measures of cellular proliferation from biopsy specimens obtained by image-guided brain biopsies.
MATERIALS AND METHODS: Fourteen patients with a supratentorial glioma that required an image-guided brain biopsy were imaged preoperatively with dynamic PET after the administration of FLT. Maps of FLT irreversible uptake rate (K(i)) and standardized uptake value (SUV) were calculated. These maps were co-registered to a gadolinium-enhanced T1-weighted spoiled gradient echo (SPGR) sequence that was used for biopsy guidance, and the mean and maximum K(i) and SUV determined for each biopsy site. These values were correlated with the MIB-1 labelling index (a tissue marker of proliferation) from these biopsy sites.
RESULTS: A total of 57 biopsy sites were studied. Although all measures correlated with MIB-1 labelling index, K(i)(max) provided the best correlation (Pearson coefficient, r=0.68; p<0.001). In low-grade gliomas the K(i)(mean) (+/-SD) was significantly higher than in normal tissue (3.3+/-1.7x10(-3)ml(plasma)/min/ml(tissue) versus 1.2+/-0.7x10(-3)ml(plasma)/min/ml(tissue); p=0.001). High-grade gliomas showed heterogeneous uptake with a mean K(i) of 7.7+/-4x10(-3)ml(plasma)/min/ml(tissue). A threshold K(i)(mean) of 1.8x10(-3) differentiates between normal tissue and tumour (sensitivity 84%, specificity 88%); however, the latter threshold underestimated the extent of tumour in half the cases. SUV closely agreed with K(i) measurements.
CONCLUSION: FLT PET is a useful marker of cellular proliferation that correlates with regional variation in cellular proliferation; however, it is unable to identify the margin of gliomas.

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Year:  2008        PMID: 19070698     DOI: 10.1016/j.crad.2008.01.016

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  14 in total

Review 1.  Molecular imaging of gliomas with PET: opportunities and limitations.

Authors:  Christian la Fougère; Bogdana Suchorska; Peter Bartenstein; Friedrich-Wilhelm Kreth; Jörg-Christian Tonn
Journal:  Neuro Oncol       Date:  2011-07-13       Impact factor: 12.300

Review 2.  Switching on the lights for real-time multimodality tumor neuroimaging: The integrated positron-emission tomography/MR imaging system.

Authors:  S Bisdas; T Nägele; H-P Schlemmer; A Boss; C D Claussen; B Pichler; U Ernemann
Journal:  AJNR Am J Neuroradiol       Date:  2009-11-26       Impact factor: 3.825

3.  Heterogeneity in stabilization phenomena in FLT PET images of canines.

Authors:  Urban Simoncic; Robert Jeraj
Journal:  Phys Med Biol       Date:  2014-11-26       Impact factor: 3.609

Review 4.  PET Molecular Imaging-Directed Biopsy: A Review.

Authors:  Baowei Fei; David M Schuster
Journal:  AJR Am J Roentgenol       Date:  2017-05-15       Impact factor: 3.959

Review 5.  Imaging biomarkers in primary brain tumours.

Authors:  Egesta Lopci; Ciro Franzese; Marco Grimaldi; Paolo Andrea Zucali; Pierina Navarria; Matteo Simonelli; Lorenzo Bello; Marta Scorsetti; Arturo Chiti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-12-18       Impact factor: 9.236

6.  The diagnostic value of high-frequency power-based diffusion-weighted imaging in prediction of neuroepithelial tumour grading.

Authors:  Zhiye Chen; Peng Zhou; Bin Lv; Mengqi Liu; Yan Wang; Yulin Wang; Xin Lou; Qiuping Gui; Huiguang He; Lin Ma
Journal:  Eur Radiol       Date:  2017-06-12       Impact factor: 5.315

Review 7.  Imaging of intratumoral heterogeneity in high-grade glioma.

Authors:  Leland S Hu; Andrea Hawkins-Daarud; Lujia Wang; Jing Li; Kristin R Swanson
Journal:  Cancer Lett       Date:  2020-02-27       Impact factor: 8.679

8.  Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map.

Authors:  Friso W A Hoefnagels; Philip De Witt Hamer; Ernesto Sanz-Arigita; Sander Idema; Joost P A Kuijer; Petra J W Pouwels; Frederik Barkhof; W Peter Vandertop
Journal:  J Neurooncol       Date:  2014-07-31       Impact factor: 4.130

Review 9.  Imaging biomarkers of brain tumour margin and tumour invasion.

Authors:  S J Price; J H Gillard
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

10.  Correlation of MR relative cerebral blood volume measurements with cellular density and proliferation in high-grade gliomas: an image-guided biopsy study.

Authors:  S J Price; H A L Green; A F Dean; J Joseph; P J Hutchinson; J H Gillard
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-16       Impact factor: 3.825

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