Journal article icon

Journal article

[11C]-l-Methionine positron emission tomography in the management of children and young adults with brain tumors

Abstract:
Background: Positron emission tomography (PET) is a valuable tool for the characterization of brain tumors in vivo. However, few studies have investigated the correlation between carbon-11-methionine (11C-METH) PET metrics and the clinical, radiological, histological, and molecular features of patients affected by lower grade gliomas (LGGs). The present observational study evaluated the relationships between 11C-METH PET metrics and structural magnetic resonance imaging (MRI) findings with the histomolecular biomarkers in patients with LGGs who were candidates for surgery. Methods: We enrolled 96 patients with pathologically proven LGG (51 men, 45 women; age 44.1 \ub1 13.7 years; 45 with grade II, 51 with grade III), who had been referred from March 2012 to January 2015 for tumor resection and had undergone preoperative 11C-METH PET. The semiquantitative metrics for 11C-METH PET included maximum standardized uptake value (SUVmax), SUV ratio to normal brain, and metabolic tumor burden (MTB). The PET semiquantitative metrics were analyzed and compared with the MRI features, histological diagnosis, isocitrate dehydrogenase-1/2 status, and 1p/19q codeletion. Results: Histological grade was associated with SUVmax (P = 0.002), SUV ratio (P = 0.011), and MTB (P = 0.001), with grade III lesions showing higher values. Among the nonenhancing lesions on MRI, SUVmax (P = 0.001), SUV ratio (P = 0.003) and MTB (P < 0.001) were significantly different statistically for grade II versus grade III. The MRI lesion volume correlated poorly with MTB (r 2 = 0.13). The SUVmax and SUV ratio were greater (P < 0.05) in isocitrate dehydrogenase-1/2 wild-type lesions, and the SUV ratio was associated with the presence of the 1p19q codeletion. Conclusions: The 11C-METH PET metrics correlated significantly with histological grade and the molecular profile. Semiquantitative PET metrics can improve the preoperative evaluation of LGGs and thus support clinical decision-making
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Publisher copy:
10.1007/s11060-009-9953-x

Authors


More by this author
Role:
Author
ORCID:
https://orcid.org/0000-0002-2485-1796
More by this author
Role:
Author
ORCID:
https://orcid.org/0000-0002-7613-1723
More by this author
Role:
Author
ORCID:
https://orcid.org/0000-0002-5751-186X
More by this author
Role:
Author
ORCID:
https://orcid.org/0000-0002-8553-2801


Publisher:
Springer
Journal:
Journal of Neuro-Oncology More from this journal
Volume:
96
Issue:
2
Publication date:
2009-07-02
DOI:
EISSN:
1573-7373
ISSN:
0167-594X


Language:
English
Keywords:
Pubs id:
2133410
Local pid:
pubs:2133410
Source identifiers:
W2168910075
Deposit date:
2025-07-01
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP