Literature DB >> 26363903

Simultaneous evaluation of brain tumour metabolism, structure and blood volume using [(18)F]-fluoroethyltyrosine (FET) PET/MRI: feasibility, agreement and initial experience.

Otto M Henriksen1, Vibeke A Larsen2, Aida Muhic3, Adam E Hansen4, Henrik B W Larsson5, Hans S Poulsen3, Ian Law4.   

Abstract

PURPOSE: Both [(18)F]-fluoroethyltyrosine (FET) PET and blood volume (BV) MRI supplement routine T1-weighted contrast-enhanced MRI in gliomas, but whether the two modalities provide identical or complementary information is unresolved. The aims of the study were to investigate the feasibility of simultaneous structural MRI, BV MRI and FET PET of gliomas using an integrated PET/MRI scanner and to assess the spatial and quantitative agreement in tumour imaging between BV MRI and FET PET.
METHODS: A total of 32 glioma patients underwent a 20-min static simultaneous PET/MRI acquisition on a Siemens mMR system 20 min after injection of 200 MBq FET. The MRI protocol included standard structural MRI and dynamic susceptibility contrast (DSC) imaging for BV measurements. Maximal relative tumour FET uptake (TBRmax) and BV (rBVmax), and Dice coefficients were calculated to assess the quantitative and spatial congruence in the tumour volumes determined by FET PET, BV MRI and contrast-enhanced MRI.
RESULTS: FET volume and TBRmax were higher in BV-positive than in BV-negative scans, and both VOLBV and rBVmax were higher in FET-positive than in FET-negative scans. TBRmax and rBVmax were positively correlated (R (2) = 0.59, p < 0.001). FET and BV positivity were in agreement in only 26 of the 32 patients and in 42 of 63 lesions, and spatial congruence in the tumour volumes as assessed by the Dice coefficients was generally poor with median Dice coefficients exceeding 0.1 in less than half the patients positive on at least one modality for any pair of modalities. In 56 % of the patients susceptibility artefacts in DSC BV maps overlapped the tumour on MRI.
CONCLUSION: The study demonstrated that although tumour volumes determined by BV MRI and FET PET were quantitatively correlated, their spatial congruence in a mixed population of treated glioma patients was generally poor, and the modalities did not provide the same information in this population of patients. Combined imaging of brain tumour metabolism and perfusion using hybrid PET/MR systems may provide complementary information on tumour biology, but the potential clinical value remains to be determined in future trials.

Entities:  

Keywords:  Blood volume; Glioma; PET/MRI; [18F]-fluoro-ethyl-tyrosine

Mesh:

Substances:

Year:  2015        PMID: 26363903     DOI: 10.1007/s00259-015-3183-6

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


  34 in total

1.  Combined PET/MR imaging--technology and applications.

Authors:  H F Wehrl; A W Sauter; M S Judenhofer; B J Pichler
Journal:  Technol Cancer Res Treat       Date:  2010-02

2.  Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas.

Authors:  Mandy Kim Rau; Christian Braun; Marco Skardelly; Jens Schittenhelm; Frank Paulsen; Benjamin Bender; Ulrike Ernemann; Sotirios Bisdas
Journal:  J Neurooncol       Date:  2014-08-27       Impact factor: 4.130

3.  Spatial distribution of malignant tissue in gliomas: correlations of 11C-L-methionine positron emission tomography and perfusion- and diffusion-weighted magnetic resonance imaging.

Authors:  Anna Tietze; Jens K Boldsen; Kim Mouridsen; Lars Ribe; Suzan Dyve; Søren Cortnum; Leif Østergaard; Per Borghammer
Journal:  Acta Radiol       Date:  2014-09-30       Impact factor: 1.990

4.  Prognostic value of O-(2-18F-fluoroethyl)-L-tyrosine PET and MRI in low-grade glioma.

Authors:  Frank W Floeth; Dirk Pauleit; Michael Sabel; Gabriele Stoffels; Guido Reifenberger; Markus J Riemenschneider; Paul Jansen; Heinz H Coenen; Hans-Jakob Steiger; Karl-Josef Langen
Journal:  J Nucl Med       Date:  2007-04       Impact factor: 10.057

5.  Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner.

Authors:  Gaspar Delso; Sebastian Fürst; Björn Jakoby; Ralf Ladebeck; Carl Ganter; Stephan G Nekolla; Markus Schwaiger; Sibylle I Ziegler
Journal:  J Nucl Med       Date:  2011-11-11       Impact factor: 10.057

6.  Role of perfusion-weighted imaging at 3T in the histopathological differentiation between astrocytic and oligodendroglial tumors.

Authors:  Taiichi Saito; Fumiyuki Yamasaki; Yoshinori Kajiwara; Nobukazu Abe; Yuji Akiyama; Takako Kakuda; Yukio Takeshima; Kazuhiko Sugiyama; Yoshikazu Okada; Kaoru Kurisu
Journal:  Eur J Radiol       Date:  2011-05-04       Impact factor: 3.528

7.  Comparative PET study using F-18 FET and F-18 FDG for the evaluation of patients with suspected brain tumour.

Authors:  Eddie W F Lau; Katharine J Drummond; Robert E Ware; Elizabeth Drummond; Annette Hogg; Gail Ryan; Andrew Grigg; Jason Callahan; Rodney J Hicks
Journal:  J Clin Neurosci       Date:  2009-12-09       Impact factor: 1.961

8.  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

9.  [18F]-fluoro-ethyl-L-tyrosine PET: a valuable diagnostic tool in neuro-oncology, but not all that glitters is glioma.

Authors:  Markus Hutterer; Martha Nowosielski; Daniel Putzer; Nathalie L Jansen; Marcel Seiz; Michael Schocke; Mark McCoy; Georg Göbel; Christian la Fougère; Irene J Virgolini; Eugen Trinka; Andreas H Jacobs; Günther Stockhammer
Journal:  Neuro Oncol       Date:  2013-01-17       Impact factor: 12.300

10.  Perfusion and diffusion MRI combined with ¹¹C-methionine PET in the preoperative evaluation of suspected adult low-grade gliomas.

Authors:  Shala Ghaderi Berntsson; Anna Falk; Irina Savitcheva; Andrea Godau; Maria Zetterling; Göran Hesselager; Irina Alafuzoff; Elna-Marie Larsson; Anja Smits
Journal:  J Neurooncol       Date:  2013-06-16       Impact factor: 4.130

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  24 in total

Review 1.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Authors:  Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

2.  Grading and outcome prediction of pediatric diffuse astrocytic tumors with diffusion and arterial spin labeling perfusion MRI in comparison with 18F-DOPA PET.

Authors:  Giovanni Morana; Arnoldo Piccardo; Domenico Tortora; Matteo Puntoni; Mariasavina Severino; Paolo Nozza; Marcello Ravegnani; Alessandro Consales; Samantha Mascelli; Alessandro Raso; Manlio Cabria; Antonio Verrico; Claudia Milanaccio; Andrea Rossi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-27       Impact factor: 9.236

3.  The promise of multiparametric imaging in oncology: how do we move forward?

Authors:  Aniek J G Even; Dirk De Ruysscher; Wouter van Elmpt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-03-29       Impact factor: 9.236

4.  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

5.  FET PET reveals considerable spatial differences in tumour burden compared to conventional MRI in newly diagnosed glioblastoma.

Authors:  Philipp Lohmann; Pantelis Stavrinou; Katharina Lipke; Elena K Bauer; Garry Ceccon; Jan-Michael Werner; Bernd Neumaier; Gereon R Fink; Nadim J Shah; Karl-Josef Langen; Norbert Galldiks
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-16       Impact factor: 9.236

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

Authors:  Jens Göttler; Mathias Lukas; Anne Kluge; Stephan Kaczmarz; Jens Gempt; Florian Ringel; Mona Mustafa; Bernhard Meyer; Claus Zimmer; Markus Schwaiger; Stefan Förster; Christine Preibisch; Thomas Pyka
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-02       Impact factor: 9.236

7.  Repeatability of image features extracted from FET PET in application to post-surgical glioblastoma assessment.

Authors:  Nathaniel Barry; Pejman Rowshanfarzad; Roslyn J Francis; Anna K Nowak; Martin A Ebert
Journal:  Phys Eng Sci Med       Date:  2021-08-26

8.  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

9.  Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma.

Authors:  Michael Lundemann; Per Munck Af Rosenschöld; Aida Muhic; Vibeke A Larsen; Hans S Poulsen; Svend-Aage Engelholm; Flemming L Andersen; Andreas Kjær; Henrik B W Larsson; Ian Law; Adam E Hansen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-02       Impact factor: 9.236

10.  Diagnostic accuracy and clinical impact of [18F]FET PET in childhood CNS tumors.

Authors:  Lisbeth Marner; Michael Lundemann; Astrid Sehested; Karsten Nysom; Lise Borgwardt; René Mathiasen; Peder S Wehner; Otto M Henriksen; Carsten Thomsen; Jane Skjøth-Rasmussen; Helle Broholm; Olga Østrup; Julie L Forman; Liselotte Højgaard; Ian Law
Journal:  Neuro Oncol       Date:  2021-12-01       Impact factor: 12.300

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