Literature DB >> 24159047

Role of O-(2-18F-fluoroethyl)-L-tyrosine PET as a diagnostic tool for detection of malignant progression in patients with low-grade glioma.

Norbert Galldiks1, Gabriele Stoffels, Maximilian I Ruge, Marion Rapp, Michael Sabel, Guido Reifenberger, Zuhal Erdem, Nadim J Shah, Gereon R Fink, Heinz H Coenen, Karl-Josef Langen.   

Abstract

UNLABELLED: In patients with low-grade glioma (LGG) of World Health Organization (WHO) grade II, early detection of progression to WHO grade III or IV is of high clinical importance because the initiation of a specific treatment depends mainly on the WHO grade. In a significant number of patients with LGG, however, information on tumor activity and malignant progression cannot be obtained on the basis of clinical or conventional MR imaging findings only. We here investigated the potential of O-(2-(18)F-fluoroethyl)-L-tyrosine ((18)F-FET) PET to noninvasively detect malignant progression in patients with LGG.
METHODS: Twenty-seven patients (mean age ± SD, 44 ± 15 y) with histologically proven LGG (WHO grade II) were investigated longitudinally twice using dynamic (18)F-FET PET and routine MR imaging. Initially, MR imaging and PET scans were performed, and diagnosis was confirmed on the basis of biopsy. Subsequently, PET scans were obtained when clinical findings or contrast-enhanced MR imaging suggested malignant progression. Maximum and mean tumor-to-brain ratios (20-40 min after injection) (TBRmax and TBRmean, respectively) of (18)F-FET uptake as well as tracer uptake kinetics (i.e., time to peak [TTP] and patterns of the time-activity curves) were determined. The diagnostic accuracy of imaging parameters for the detection of malignant progression was evaluated by receiver-operating-characteristic analyses and by Fisher exact test for 2 × 2 contingency tables.
RESULTS: In patients with histologically proven malignant progression toward WHO grade III or IV (n = 18), TBRmax and TBRmean increased significantly, compared with baseline (TBRmax, 3.8 ± 1.0 vs. 2.4 ± 1.0; TBRmean, 2.2 ± 0.3 vs. 1.6 ± 0.6; both P < 0.001), whereas TTP decreased significantly (median TTP, 35 vs. 23 min; P < 0.001). Furthermore, time-activity curve patterns changed significantly in 10 of 18 patients (P < 0.001). The combined analysis of (18)F-FET PET parameters (i.e., changes of TBRmax, TTP, or time-activity curve pattern) yielded a significantly higher diagnostic accuracy for the detection of malignant progression than changes of contrast enhancement in MR imaging (accuracy, 81% vs. 63%; P = 0.003).
CONCLUSION: Both tumor-to-brain ratio and kinetic parameters of (18)F-FET PET uptake provide valuable diagnostic information for the noninvasive detection of malignant progression of LGG. Thus, repeated (18)F-FET PET may be helpful for further treatment decisions.

Entities:  

Keywords:  18F-FET kinetics; repeated 18F-FET PET imaging; time to peak

Mesh:

Substances:

Year:  2013        PMID: 24159047     DOI: 10.2967/jnumed.113.123836

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  40 in total

1.  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

Review 2.  Non-invasive metabolic imaging of brain tumours in the era of precision medicine.

Authors:  Michelle M Kim; Abhijit Parolia; Mark P Dunphy; Sriram Venneti
Journal:  Nat Rev Clin Oncol       Date:  2016-07-19       Impact factor: 66.675

3.  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

4.  The use of dynamic O-(2-18F-fluoroethyl)-l-tyrosine PET in the diagnosis of patients with progressive and recurrent glioma.

Authors:  Norbert Galldiks; Gabriele Stoffels; Christian Filss; Marion Rapp; Tobias Blau; Caroline Tscherpel; Garry Ceccon; Veronika Dunkl; Martin Weinzierl; Michael Stoffel; Michael Sabel; Gereon R Fink; Nadim J Shah; Karl-Josef Langen
Journal:  Neuro Oncol       Date:  2015-05-24       Impact factor: 12.300

Review 5.  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

6.  Hypometabolic gliomas on FET-PET-is there an inverted U-curve for survival?

Authors:  David Olayinka Kamson
Journal:  Neuro Oncol       Date:  2019-10-09       Impact factor: 12.300

7.  18F-FET-PET as a biomarker for therapy response in non-contrast enhancing glioma following chemotherapy.

Authors:  Bogdana Suchorska; Marcus Unterrainer; Annamaria Biczok; Marketa Sosnova; Robert Forbrig; Peter Bartenstein; Jörg-Christian Tonn; Nathalie Lisa Albert; Friedrich-Wilhelm Kreth
Journal:  J Neurooncol       Date:  2018-06-08       Impact factor: 4.130

8.  Population Pharmacokinetics of Tracers: A New Tool for Medical Imaging?

Authors:  Peggy Gandia; Cyril Jaudet; Etienne Chatelut; Didier Concordet
Journal:  Clin Pharmacokinet       Date:  2017-02       Impact factor: 6.447

9.  Volumetric assessment of recurrent or progressive gliomas: comparison between F-DOPA PET and perfusion-weighted MRI.

Authors:  Francesco Cicone; Christian P Filss; Giuseppe Minniti; Camilla Rossi-Espagnet; Annalisa Papa; Claudia Scaringi; Norbert Galldiks; Alessandro Bozzao; N Jon Shah; Francesco Scopinaro; Karl-Josef Langen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-03-07       Impact factor: 9.236

10.  Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status.

Authors:  Shuangshuang Song; Leiming Wang; Hongwei Yang; Yongzhi Shan; Ye Cheng; Lixin Xu; Chengyan Dong; Guoguang Zhao; Jie Lu
Journal:  Eur Radiol       Date:  2020-11-19       Impact factor: 5.315

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