Literature DB >> 20829706

Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?

Marc-André Weber1, Marcus Henze, Jochen Tüttenberg, Bram Stieltjes, Marco Meissner, Fabian Zimmer, Iris Burkholder, Alexander Kroll, Stephanie E Combs, Marlies Vogt-Schaden, Frederik L Giesel, Saida Zoubaa, Uwe Haberkorn, Hans-Ulrich Kauczor, Marco Essig.   

Abstract

OBJECTIVE: Because of the heterogeneous nature of glioma, biopsies performed should be targeted at the most anaplastic region. Several functional magnetic resonance imaging (MRI) or positron emission tomography (PET) techniques have been proposed for identifying the most anaplastic tumor area. However, it is unclear whether the recommended biopsy targets based on these various functional imaging modalities correspond with each other. Thus, the purpose was to evaluate whether they identify similar target areas.
MATERIALS AND METHODS: A total of 61 patients with suspected glioma were assessed within 2.3 +/- 3.5 days by MRI, 18F-fluorothymidine-, and 18F-fluorodeoxyglucose-PET. Thirty-five patients underwent gross total resection and 26 were stereotactically biopsied. MRI was performed on a 1.5 Tesla broadband transmit/receive system, using a double-resonant birdcage coil. The MRI protocol comprised of sodium (23Na)-MRI (3D-radial projection imaging), proton spectroscopic imaging (1H-MRSI, point-resolved spectroscopy), arterial spin-labeling (ASL) perfusion MRI, dynamic contrast-enhanced (DCE) MRI, and dynamic-susceptibility-weighted (DSC) perfusion MRI after a single dose each of gadobenate dimeglumine. Also, apparent diffusion coefficient (ADC) maps were processed from diffusion tensor images. Image analysis comprised a detailed semiquantitative region of interest analysis of the different parameter values as well as visual identification of the most conspicuous tumor areas on parameter maps, for example, areas with maximum tumor perfusion, highest metabolite ratios of choline-containing compounds/N-acetyl-aspartate, or lowest ADC values within tumor tissue. Colocalization of these areas was then assessed.
RESULTS: Regarding tumor vascularity-related parameters and tumor proliferation-related parameters, the higher the glioma grade the higher were the respective parameters in semiquantitative analysis. ADC values decreased with glioma grade. In the whole study population comprising low- (N = 15) and high-grade gliomas (N = 42), except for 23Na-MRI, there was good (>50%) or perfect (100%) agreement of the tumor areas with highest values on parameter images in the majority of cases (>80%), that is, tumor areas with increased thymidine-uptake and highest choline, both suggestive of increased tumor proliferation, and elevated microcirculation as demonstrated by DSC-, arterial spin-labeling-, and DCE-MRI. 23Na-MRI depicted the highest signal within necrotic tumor areas, but non-necrotic gliomas also showed a perfect agreement in more than 61%. 18F-fluorothymidine-PET, DSC-, and DCE-MRI, diffusion-weighted imaging as well as MR spectroscopic imaging correctly detected no glioma heterogeneity in all 15 histologically proven grade II gliomas but identified suspicious areas in all 3 nonenhancing grade III gliomas.
CONCLUSION: Both imaging techniques that depict microcirculation and techniques that visualize proliferation identify similar target areas.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20829706     DOI: 10.1097/RLI.0b013e3181ec9db0

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  26 in total

Review 1.  Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.

Authors:  James R Fink; Mark Muzi; Melinda Peck; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2015-08-20       Impact factor: 10.057

Review 2.  MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.

Authors:  M Essig; N Anzalone; S E Combs; À Dörfler; S-K Lee; P Picozzi; A Rovira; M Weller; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

3.  Biopsy targeting with dynamic contrast-enhanced versus standard neuronavigation MRI in glioma: a prospective double-blinded evaluation of selection benefits.

Authors:  Vera C Keil; Bogdan Pintea; Gerrit H Gielen; Susanne Greschus; Rolf Fimmers; Jürgen Gieseke; Matthias Simon; Hans H Schild; Dariusch R Hadizadeh
Journal:  J Neurooncol       Date:  2017-04-19       Impact factor: 4.130

4.  Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma.

Authors:  Katerina Deike; Benedikt Wiestler; Markus Graf; Caroline Reimer; Ralf O Floca; Philipp Bäumer; Philipp Kickingereder; Sabine Heiland; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  J Neurooncol       Date:  2015-10-30       Impact factor: 4.130

Review 5.  Quantitative sodium MR imaging: A review of its evolving role in medicine.

Authors:  Keith R Thulborn
Journal:  Neuroimage       Date:  2016-11-24       Impact factor: 6.556

6.  Diagnostic performance of apparent diffusion coefficient parameters for glioma grading.

Authors:  Qun Wang; JiaShu Zhang; Xinghua Xu; XiaoLei Chen; BaiNan Xu
Journal:  J Neurooncol       Date:  2018-03-24       Impact factor: 4.130

7.  Anti-angiogenic activity of VXM01, an oral T-cell vaccine against VEGF receptor 2, in patients with advanced pancreatic cancer: A randomized, placebo-controlled, phase 1 trial.

Authors:  Friedrich H Schmitz-Winnenthal; Nicolas Hohmann; Andreas G Niethammer; Tobias Friedrich; Heinz Lubenau; Marco Springer; Klaus M Breiner; Gerd Mikus; Jürgen Weitz; Alexis Ulrich; Markus W Buechler; Frank Pianka; Ulla Klaiber; Markus Diener; Christine Leowardi; Simon Schimmack; Leila Sisic; Anne-Valerie Keller; Ruhan Koc; Christoph Springfeld; Philipp Knebel; Thomas Schmidt; Yingzi Ge; Mariana Bucur; Slava Stamova; Lilli Podola; Walter E Haefeli; Lars Grenacher; Philipp Beckhove
Journal:  Oncoimmunology       Date:  2015-03-16       Impact factor: 8.110

8.  Survival prediction in high-grade gliomas using CT perfusion imaging.

Authors:  Timothy Pok Chi Yeung; Yong Wang; Wenqing He; Benedetta Urbini; Roberta Gafà; Linda Ulazzi; Slav Yartsev; Glenn Bauman; Ting-Yim Lee; Enrico Fainardi
Journal:  J Neurooncol       Date:  2015-04-11       Impact factor: 4.130

9.  Molecular imaging of pediatric brain tumors: comparison of tumor metabolism using ¹⁸F-FDG-PET and MRSI.

Authors:  Sean J Hipp; Emilie A Steffen-Smith; Nicholas Patronas; Peter Herscovitch; Jeffrey M Solomon; Robyn S Bent; Seth M Steinberg; Katherine E Warren
Journal:  J Neurooncol       Date:  2012-07-04       Impact factor: 4.130

10.  Repeatability of 18F-FLT PET in a Multicenter Study of Patients with High-Grade Glioma.

Authors:  Martin A Lodge; Matthias Holdhoff; Jeffrey P Leal; Asim K Bag; L Burt Nabors; Akiva Mintz; Glenn J Lesser; David A Mankoff; Arati S Desai; James M Mountz; Frank S Lieberman; Joy D Fisher; Serena Desideri; Xiaobu Ye; Stuart A Grossman; David Schiff; Richard L Wahl
Journal:  J Nucl Med       Date:  2016-09-29       Impact factor: 10.057

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.