Literature DB >> 14600871

The diagnostics of recurrent gliomas using FDG-PET: still questionable?

Otakar Belohlávek1, Jan Klener, Josef Vymazal, Vladimir Dbalý, Frantisek Tovarys.   

Abstract

BACKGROUND: For a number of years, FDG-PET was considered as a gold standard for the differential diagnosis of recurrent glioma and radionecrosis. Recently published papers have introduced a wealth of scepticism into this area. The aim of this work is to specify the added value of FDG PET, as compared to MRI, in terms of diagnostics of recurrent gliomas in the clinical setting of the PET Centre Prague.
MATERIAL AND METHODS: MRI and FDG-PET were used to examine 29 patients for suspicious glioma recurrence, after 30 open neurosurgical operations or re-operations combined with chemo- and/or radiotherapy. The sensitivity, specificity and accuracy of both examinations were calculated with respect to their micromorphological findings (n = 28) or the clinical and radiological follow-up (n = 2).
RESULTS: MRI detected 23/24 tumour recurrences (sensitivity = 95.8%) and FDG PET only 15 of these (sensitivity = 62.5%). MRI specified only 3/6 radionecrotic lesions (specificity = 50.0%), while FDG PET identified 5/6 (specificity = 83.3%). Overall accuracy was 26/30 (86.7%) for MRI and 20/30 (66.7%) for FDG PET. In the subgroup of MRI positive or equivocal findings (n = 29) FDG PET was clearly positive in 15 cases. High-grade glioma recurrence was subsequently confirmed in all of them. On the other hand negative or equivocal FDG PET was associated in 5/14 cases (35.7%) with radionecrosis, in 3/14 (21.4%) with low-grade glioma and in 6/14 (42.9%) with high-grade glioma.
CONCLUSIONS: MRI is the method of choice for the detection of glioma recurrence but it is associated with a high rate of false positive results. FDG PET has significantly lower sensitivity; nevertheless it does help to specify MRI positive lesions. FDG PET positive lesions give a very high probability of high-grade glioma, but its equivocal and negative findings are of no clinical value.

Entities:  

Year:  2002        PMID: 14600871

Source DB:  PubMed          Journal:  Nucl Med Rev Cent East Eur        ISSN: 1506-9680


  8 in total

1.  Comparative diagnostic accuracy of contrast-enhanced MRI and (18)F-FDOPA PET-CT in recurrent glioma.

Authors:  Sellam Karunanithi; Punit Sharma; Abhishek Kumar; Bangkim Chandra Khangembam; Guru Pada Bandopadhyaya; Rakesh Kumar; Ajit Goenka; Deepak Kumar Gupta; Arun Malhotra; Chandrasekhar Bal
Journal:  Eur Radiol       Date:  2013-04-28       Impact factor: 5.315

2.  18F-FDOPA PET/CT for detection of recurrence in patients with glioma: prospective comparison with 18F-FDG PET/CT.

Authors:  Sellam Karunanithi; Punit Sharma; Abhishek Kumar; Bangkim Chandra Khangembam; Guru Pada Bandopadhyaya; Rakesh Kumar; Deepak Kumar Gupta; Arun Malhotra; Chandrasekhar Bal
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-03-23       Impact factor: 9.236

Review 3.  Diagnostic accuracy of PET for recurrent glioma diagnosis: a meta-analysis.

Authors:  T Nihashi; I J Dahabreh; T Terasawa
Journal:  AJNR Am J Neuroradiol       Date:  2012-11-01       Impact factor: 3.825

4.  The Clinical Value of PET with Amino Acid Tracers for Gliomas WHO Grade II.

Authors:  Anja Smits; Brigitta G Baumert
Journal:  Int J Mol Imaging       Date:  2011-04-28

Review 5.  Metabolic Reprogramming in Glioma.

Authors:  Marie Strickland; Elizabeth A Stoll
Journal:  Front Cell Dev Biol       Date:  2017-04-26

6.  Fatty acid oxidation is required for the respiration and proliferation of malignant glioma cells.

Authors:  Hua Lin; Shaan Patel; Valerie S Affleck; Ian Wilson; Douglass M Turnbull; Abhijit R Joshi; Ross Maxwell; Elizabeth A Stoll
Journal:  Neuro Oncol       Date:  2016-06-29       Impact factor: 12.300

7.  Diagnostic Accuracy of PET for Differentiating True Glioma Progression From Post Treatment-Related Changes: A Systematic Review and Meta-Analysis.

Authors:  Meng Cui; Rocío Isabel Zorrilla-Veloz; Jian Hu; Bing Guan; Xiaodong Ma
Journal:  Front Neurol       Date:  2021-05-20       Impact factor: 4.003

8.  Effective Detection and Monitoring of Glioma Using [18F]FPIA PET Imaging.

Authors:  Vessela Vassileva; Marta Braga; Chris Barnes; Justyna Przystal; Ali Ashek; Louis Allott; Diana Brickute; Joel Abrahams; Keittisak Suwan; Angel M Carcaboso; Amin Hajitou; Eric O Aboagye
Journal:  Biomedicines       Date:  2021-07-13
  8 in total

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