This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.23736/S1824-4785.18.03090-X in citations.
The role of amino acid PET in the light of the new WHO classification 2016 for brain tumors
The role of amino acid PET in the light of the new WHO classification 2016 for brain tumors
Since its introduction in 2016, the revision of the World Health Organization (WHO) classification of central nervous system tumors has alreadychanged the diagnostic and therapeutic approach in glial tumors. Blurring the lines between entities formerly labelled as “high-grade” or “lowgrade”,molecula...
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Personal Name(s): | Suchorska, B. (Corresponding author) |
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Albert, N. L. / Bauer, E. K. / Tonn, J. C. / Galldiks, N. | |
Contributing Institute: |
Kognitive Neurowissenschaften; INM-3 |
Published in: | The quarterly journal of nuclear medicine and molecular imaging, 62 (2018) 3, S. 267-71 |
Imprint: |
Torino
Ed. Minerva Medica
2018
|
DOI: |
10.23736/S1824-4785.18.03090-X |
PubMed ID: |
29696947 |
Document Type: |
Journal Article |
Research Program: |
(Dys-)function and Plasticity |
Publikationsportal JuSER |
Since its introduction in 2016, the revision of the World Health Organization (WHO) classification of central nervous system tumors has alreadychanged the diagnostic and therapeutic approach in glial tumors. Blurring the lines between entities formerly labelled as “high-grade” or “lowgrade”,molecular markers define distinct biological subtypes with different clinical course. This new classification raises the demand for noninvasiveimaging methods focusing on depicting metabolic processes. We performed a review of current literature on the use of amino-acid PET(AA-PET) for obtaining diagnostic or prognostic information on glioma in the setting of the current WHO 2016 classification. So far, only a fewstudies have focused on combining molecular genetic information and metabolic imaging using AA-PET. The current review summarizes theinformation available on “molecular grading” as well as prognostic information obtained from AA-PET and delivers an insight into a possibleinterrelation between metabolic imaging and glioma genetics. Within the framework of molecular characterization of gliomas, metabolic imagingusing AA-PET is a promising tool for non-invasive characterization of molecular features and to provide additional prognostic information.Further studies incorporating molecular and metabolic features are necessary to improve the explanatory power of AA-PET in glial tumors |