Literature DB >> 26243791

Performance of 18F-FET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: systematic review and meta-analysis.

Vincent Dunet1, Anastasia Pomoni1, Andreas Hottinger1, Marie Nicod-Lalonde1, John O Prior1.   

Abstract

BACKGROUND: For the past decade (18)F-fluoro-ethyl-l-tyrosine (FET) and (18)F-fluoro-deoxy-glucose (FDG) positron emission tomography (PET) have been used for the assessment of patients with brain tumor. However, direct comparison studies reported only limited numbers of patients. Our purpose was to compare the diagnostic performance of FET and FDG-PET.
METHODS: We examined studies published between January 1995 and January 2015 in the PubMed database. To be included the study should: (i) use FET and FDG-PET for the assessment of patients with isolated brain lesion and (ii) use histology as the gold standard. Analysis was performed on a per patient basis. Study quality was assessed with STARD and QUADAS criteria.
RESULTS: Five studies (119 patients) were included. For the diagnosis of brain tumor, FET-PET demonstrated a pooled sensitivity of 0.94 (95% CI: 0.79-0.98) and pooled specificity of 0.88 (95% CI: 0.37-0.99), with an area under the curve of 0.96 (95% CI: 0.94-0.97), a positive likelihood ratio (LR+) of 8.1 (95% CI: 0.8-80.6), and a negative likelihood ratio (LR-) of 0.07 (95% CI: 0.02-0.30), while FDG-PET demonstrated a sensitivity of 0.38 (95% CI: 0.27-0.50) and specificity of 0.86 (95% CI: 0.31-0.99), with an area under the curve of 0.40 (95% CI: 0.36-0.44), an LR+ of 2.7 (95% CI: 0.3-27.8), and an LR- of 0.72 (95% CI: 0.47-1.11). Target-to-background ratios of either FDG or FET, however, allow distinction between low- and high-grade gliomas (P > .11).
CONCLUSIONS: For brain tumor diagnosis, FET-PET performed much better than FDG and should be preferred when assessing a new isolated brain tumor. For glioma grading, however, both tracers showed similar performances.
© The Author(s) 2015. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  18F-fluoro-deoxy-glucose; 18F-fluoro-ethyl-tyrosine; PET; brain tumor; meta-analysis

Mesh:

Substances:

Year:  2015        PMID: 26243791      PMCID: PMC4767236          DOI: 10.1093/neuonc/nov148

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  64 in total

1.  Volumetric analysis of 18F-FDG PET in glioblastoma multiforme: prognostic information and possible role in definition of target volumes in radiation dose escalation.

Authors:  Kevin S Tralins; James G Douglas; Keith J Stelzer; David A Mankoff; Daniel L Silbergeld; Robert C Rostomily; Sharon Hummel; Jeff Scharnhorst; Kenneth A Krohn; Alexander M Spence; Robert Rostomilly
Journal:  J Nucl Med       Date:  2002-12       Impact factor: 10.057

2.  Early change in glucose metabolic rate measured using FDG-PET in patients with high-grade glioma predicts response to temozolomide but not temozolomide plus radiotherapy.

Authors:  Natalie Charnley; Catharine M West; Carolyn M Barnett; Catherine Brock; Graeme M Bydder; Mark Glaser; Ed S Newlands; Ric Swindell; Julian Matthews; Pat Price
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-07-12       Impact factor: 7.038

3.  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

4.  Whole-body distribution and dosimetry of O-(2-[18F]fluoroethyl)-L-tyrosine.

Authors:  Dirk Pauleit; Frank Floeth; Hans Herzog; Kurt Hamacher; Lutz Tellmann; Hans-W Müller; Heinz H Coenen; Karl-J Langen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-02-15       Impact factor: 9.236

5.  18F-FDOPA PET imaging of brain tumors: comparison study with 18F-FDG PET and evaluation of diagnostic accuracy.

Authors:  Wei Chen; Daniel H S Silverman; Sibylle Delaloye; Johannes Czernin; Nirav Kamdar; Whitney Pope; Nagichettiar Satyamurthy; Christiaan Schiepers; Timothy Cloughesy
Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

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.  Non-invasive grading of brain tumours using dynamic amino acid PET imaging: does it work for 11C-methionine?

Authors:  Gérard Moulin-Romsée; Eduard D'Hondt; Tjibbe de Groot; Jan Goffin; Raf Sciot; Luc Mortelmans; Johan Menten; Guy Bormans; Koen Van Laere
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-09-01       Impact factor: 9.236

8.  Differential uptake of O-(2-18F-fluoroethyl)-L-tyrosine, L-3H-methionine, and 3H-deoxyglucose in brain abscesses.

Authors:  Dagmar Salber; Gabriele Stoffels; Dirk Pauleit; Anna-Maria Oros-Peusquens; Nadim Jon Shah; Peter Klauth; Kurt Hamacher; Heinz Hubert Coenen; Karl-Josef Langen
Journal:  J Nucl Med       Date:  2007-11-15       Impact factor: 10.057

Review 9.  Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  Radiology       Date:  2003-01       Impact factor: 11.105

Review 10.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2007-07-06       Impact factor: 17.088

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  49 in total

1.  Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas.

Authors:  Manuel Röhrich; Kristin Huang; Daniel Schrimpf; Nathalie L Albert; Thomas Hielscher; Andreas von Deimling; Ulrich Schüller; Antonia Dimitrakopoulou-Strauss; Uwe Haberkorn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-07       Impact factor: 9.236

Review 2.  Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas.

Authors:  Nathalie L Albert; Michael Weller; Bogdana Suchorska; Norbert Galldiks; Riccardo Soffietti; Michelle M Kim; Christian la Fougère; Whitney Pope; Ian Law; Javier Arbizu; Marc C Chamberlain; Michael Vogelbaum; Ben M Ellingson; Joerg C Tonn
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

3.  Targeting MMP-14 for dual PET and fluorescence imaging of glioma in preclinical models.

Authors:  Benjamin B Kasten; Ke Jiang; Denzel Cole; Aditi Jani; Neha Udayakumar; G Yancey Gillespie; Guolan Lu; Tingting Dai; Eben L Rosenthal; James M Markert; Jianghong Rao; Jason M Warram
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-26       Impact factor: 9.236

4.  Prognostic Value of O-(2-[18F]Fluoroethyl)-L-Tyrosine PET/CT in Newly Diagnosed WHO 2016 Grade II and III Glioma.

Authors:  Olivia Kertels; Almuth F Kessler; Milena I Mihovilovic; Antje Stolzenburg; Thomas Linsenmann; Samuel Samnick; Stephanie Brändlein; Camelia Maria Monoranu; Ralf-Ingo Ernestus; Andreas K Buck; Mario Löhr; Constantin Lapa
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

5.  Response to: Performance of 18F-FET-PET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: inherent bias in meta-analysis not revealed by quality metrics.

Authors:  Vincent Dunet; John O Prior
Journal:  Neuro Oncol       Date:  2016-07       Impact factor: 12.300

6.  Performance of 18F-FET-PET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: inherent bias in meta-analysis not revealed by quality metrics.

Authors:  Xiangyan Huang; Harrison Bai; Hao Zhou; Haiyun Tang; Li Yang
Journal:  Neuro Oncol       Date:  2016-07       Impact factor: 12.300

Review 7.  The Continuing Evolution of Molecular Functional Imaging in Clinical Oncology: The Road to Precision Medicine and Radiogenomics (Part I).

Authors:  Tanvi Vaidya; Archi Agrawal; Shivani Mahajan; Meenakshi H Thakur; Abhishek Mahajan
Journal:  Mol Diagn Ther       Date:  2019-02       Impact factor: 4.074

8.  Concurrent functional and metabolic assessment of brain tumors using hybrid PET/MR imaging.

Authors:  B Sacconi; R A Raad; J Lee; H Fine; D Kondziolka; J G Golfinos; J S Babb; R Jain
Journal:  J Neurooncol       Date:  2016-01-04       Impact factor: 4.130

9.  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

10.  A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy.

Authors:  Y Feng; E H Clayton; R J Okamoto; J Engelbach; P V Bayly; J R Garbow
Journal:  Phys Med Biol       Date:  2016-07-27       Impact factor: 3.609

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