Literature DB >> 27913827

Intra-lesional spatial correlation of static and dynamic FET-PET parameters with MRI-based cerebral blood volume in patients with untreated glioma.

Jens Göttler1,2, Mathias Lukas3, Anne Kluge4, Stephan Kaczmarz4, Jens Gempt5, Florian Ringel5, Mona Mustafa3, Bernhard Meyer5, Claus Zimmer4, Markus Schwaiger3, Stefan Förster6,3,7, Christine Preibisch4,6, Thomas Pyka3.   

Abstract

PURPOSE: 18F-fluorethyltyrosine-(FET)-PET and MRI-based relative cerebral blood volume (rCBV) have both been used to characterize gliomas. Recently, inter-individual correlations between peak static FET-uptake and rCBV have been reported. Herein, we assess the local intra-lesional relation between FET-PET parameters and rCBV.
METHODS: Thirty untreated glioma patients (27 high-grade) underwent simultaneous PET/MRI on a 3 T hybrid scanner obtaining structural and dynamic susceptibility contrast sequences. Static FET-uptake and dynamic FET-slope were correlated with rCBV within tumour hotspots across patients and intra-lesionally using a mixed-effects model to account for inter-individual variation. Furthermore, maximal congruency of tumour volumes defined by FET-uptake and rCBV was determined.
RESULTS: While the inter-individual relationship between peak static FET-uptake and rCBV could be confirmed, our intra-lesional, voxel-wise analysis revealed significant positive correlations (median r = 0.374, p < 0.0001). Similarly, significant inter- and intra-individual correlations were observed between FET-slope and rCBV. However, rCBV explained only 12% of the static and 5% of the dynamic FET-PET variance and maximal overlap of respective tumour volumes was 37% on average.
CONCLUSIONS: Our results show that the relation between peak values of MR-based rCBV and static FET-uptake can also be observed intra-individually on a voxel basis and also applies to a dynamic FET parameter, possibly determining hotspots of higher biological malignancy. However, just a small part of the FET-PET signal variance is explained by rCBV and tumour volumes determined by the two modalities showed only moderate overlap. These findings indicate that FET-PET and MR-based rCBV provide both congruent and complimentary information on glioma biology.

Entities:  

Keywords:  18F-fluorethyltyrosine-PET; CBV; DSC MRI; Glioma

Mesh:

Substances:

Year:  2016        PMID: 27913827     DOI: 10.1007/s00259-016-3585-0

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  14 in total

Review 1.  O-(2-[18F]fluoroethyl)-L-tyrosine: uptake mechanisms and clinical applications.

Authors:  Karl-Josef Langen; Kurt Hamacher; Matthias Weckesser; Frank Floeth; Gabriele Stoffels; Dagmar Bauer; Heinz H Coenen; Dirk Pauleit
Journal:  Nucl Med Biol       Date:  2006-04       Impact factor: 2.408

2.  Early static (18)F-FET-PET scans have a higher accuracy for glioma grading than the standard 20-40 min scans.

Authors:  Nathalie L Albert; Isabel Winkelmann; Bogdana Suchorska; Vera Wenter; Christine Schmid-Tannwald; Erik Mille; Andrei Todica; Matthias Brendel; Jörg-Christian Tonn; Peter Bartenstein; Christian la Fougère
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-12-15       Impact factor: 9.236

3.  O-(2-[18F]fluoroethyl)-L-tyrosine PET combined with MRI improves the diagnostic assessment of cerebral gliomas.

Authors:  Dirk Pauleit; Frank Floeth; Kurt Hamacher; Markus J Riemenschneider; Guido Reifenberger; Hans-Wilhelm Müller; Karl Zilles; Heinz H Coenen; Karl-Josef Langen
Journal:  Brain       Date:  2005-02-02       Impact factor: 13.501

4.  System L amino acid transporter LAT1 accumulates O-(2-fluoroethyl)-L-tyrosine (FET).

Authors:  A Habermeier; J Graf; B F Sandhöfer; J-P Boissel; F Roesch; Ellen I Closs
Journal:  Amino Acids       Date:  2014-11-11       Impact factor: 3.520

5.  Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging.

Authors:  Ramon F Barajas; Joanna J Phillips; Rupa Parvataneni; Annette Molinaro; Emma Essock-Burns; Gabriela Bourne; Andrew T Parsa; Manish K Aghi; Michael W McDermott; Mitchel S Berger; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2012-06-18       Impact factor: 12.300

6.  FET PET for the evaluation of untreated gliomas: correlation of FET uptake and uptake kinetics with tumour grading.

Authors:  Gabriele Pöpperl; Friedrich W Kreth; Jan H Mehrkens; Jochen Herms; Klaus Seelos; Walter Koch; Franz J Gildehaus; Hans A Kretzschmar; Jörg C Tonn; Klaus Tatsch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-09-01       Impact factor: 9.236

7.  Comparison of 18F-FET PET and perfusion-weighted MR imaging: a PET/MR imaging hybrid study in patients with brain tumors.

Authors:  Christian P Filss; Norbert Galldiks; Gabriele Stoffels; Michael Sabel; Hans J Wittsack; Bernd Turowski; Gerald Antoch; Ke Zhang; Gereon R Fink; Heinz H Coenen; Nadim J Shah; Hans Herzog; Karl-Josef Langen
Journal:  J Nucl Med       Date:  2014-02-27       Impact factor: 10.057

8.  The quantification of dynamic FET PET imaging and correlation with the clinical outcome in patients with glioblastoma.

Authors:  Frank Thiele; Julia Ehmer; Marc D Piroth; Michael J Eble; Heinz H Coenen; Hans-Juergen Kaiser; Wolfgang M Schaefer; Ulrich Buell; Christian Boy
Journal:  Phys Med Biol       Date:  2009-08-28       Impact factor: 3.609

9.  Substitution of 11C-methionine PET by perfusion MRI during the follow-up of treated high-grade gliomas: preliminary results in clinical practice.

Authors:  V Dandois; D Rommel; L Renard; J Jamart; G Cosnard
Journal:  J Neuroradiol       Date:  2009-06-30       Impact factor: 3.447

10.  Analysis of three leakage-correction methods for DSC-based measurement of relative cerebral blood volume with respect to heterogeneity in human gliomas.

Authors:  Anne Kluge; Mathias Lukas; Vivien Toth; Thomas Pyka; Claus Zimmer; Christine Preibisch
Journal:  Magn Reson Imaging       Date:  2015-12-17       Impact factor: 2.546

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  15 in total

1.  18F-Fluoroethyl-tyrosine uptake is correlated with amino acid transport and neovascularization in treatment-naive glioblastomas.

Authors:  Friederike Liesche; Mathias Lukas; Christine Preibisch; Kuangyu Shi; Jürgen Schlegel; Bernhard Meyer; Markus Schwaiger; Claus Zimmer; Stefan Förster; Jens Gempt; Thomas Pyka
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-09       Impact factor: 9.236

2.  Comparison of 18F-FET PET and perfusion-weighted MRI for glioma grading: a hybrid PET/MR study.

Authors:  Antoine Verger; Christian P Filss; Philipp Lohmann; Gabriele Stoffels; Michael Sabel; Hans J Wittsack; Elena Rota Kops; Norbert Galldiks; Gereon R Fink; Nadim J Shah; Karl-Josef Langen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-22       Impact factor: 9.236

3.  Combining 18F-DOPA PET and MRI with perfusion-weighted imaging improves delineation of high-grade subregions in enhancing and non-enhancing gliomas prior treatment: a biopsy-controlled study.

Authors:  Antoine Girard; Pierre-Jean Le Reste; Alice Metais; Beatrice Carsin Nicol; Dan Cristian Chiforeanu; Elise Bannier; Boris Campillo-Gimenez; Anne Devillers; Xavier Palard-Novello; Florence Le Jeune
Journal:  J Neurooncol       Date:  2021-10-22       Impact factor: 4.130

4.  Diagnostic yield of simultaneous dynamic contrast-enhanced magnetic resonance perfusion measurements and [18F]FET PET in patients with suspected recurrent anaplastic astrocytoma and glioblastoma.

Authors:  Otto M Henriksen; Adam E Hansen; Aida Muhic; Lisbeth Marner; Karine Madsen; Søren Møller; Benedikte Hasselbalch; Michael J Lundemann; David Scheie; Jane Skjøth-Rasmussen; Hans S Poulsen; Vibeke A Larsen; Henrik B W Larsson; Ian Law
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-07-30       Impact factor: 10.057

Review 5.  Amino acid PET and MR perfusion imaging in brain tumours.

Authors:  Christian P Filss; Francesco Cicone; Nadim Jon Shah; Norbert Galldiks; Karl-Josef Langen
Journal:  Clin Transl Imaging       Date:  2017-03-13

Review 6.  Combined Amino Acid Positron Emission Tomography and Advanced Magnetic Resonance Imaging in Glioma Patients.

Authors:  Philipp Lohmann; Jan-Michael Werner; N Jon Shah; Gereon R Fink; Karl-Josef Langen; Norbert Galldiks
Journal:  Cancers (Basel)       Date:  2019-01-29       Impact factor: 6.639

7.  Multimodal Imaging of Nonenhancing Glioblastoma Regions.

Authors:  Flóra John; Natasha L Robinette; Alit J Amit-Yousif; Edit Bosnyák; Geoffrey R Barger; Keval D Shah; Sandeep Mittal; Csaba Juhász
Journal:  Mol Imaging       Date:  2019 Jan-Dec       Impact factor: 4.488

8.  Reference values of physiological 18F-FET uptake: Implications for brain tumor discrimination.

Authors:  Brigitte Fuenfgeld; Philipp Mächler; Dorothee R Fischer; Giuseppe Esposito; Elisabeth Jane Rushing; Philipp A Kaufmann; Paul Stolzmann; Martin W Huellner
Journal:  PLoS One       Date:  2020-04-17       Impact factor: 3.240

9.  Sequential implementation of DSC-MR perfusion and dynamic [18F]FET PET allows efficient differentiation of glioma progression from treatment-related changes.

Authors:  Eike Steidl; Karl-Josef Langen; Sarah Abu Hmeidan; Nenad Polomac; Christian P Filss; Norbert Galldiks; Philipp Lohmann; Fee Keil; Katharina Filipski; Felix M Mottaghy; Nadim Jon Shah; Joachim P Steinbach; Elke Hattingen; Gabriele D Maurer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-11-26       Impact factor: 9.236

10.  Voxel-wise analysis of dynamic 18F-FET PET: a novel approach for non-invasive glioma characterisation.

Authors:  Lena Vomacka; Marcus Unterrainer; Adrien Holzgreve; Erik Mille; Astrid Gosewisch; Julia Brosch; Sibylle Ziegler; Bogdana Suchorska; Friedrich-Wilhelm Kreth; Jörg-Christian Tonn; Peter Bartenstein; Nathalie Lisa Albert; Guido Böning
Journal:  EJNMMI Res       Date:  2018-09-10       Impact factor: 3.138

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