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Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria
BACKGROUND: The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 World Health Organization (WHO) classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imagi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920529/ https://www.ncbi.nlm.nih.gov/pubmed/33681765 http://dx.doi.org/10.1093/noajnl/vdaa172 |
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author | Miyake, Keisuke Suzuki, Kenta Ogawa, Tomoya Ogawa, Daisuke Hatakeyama, Tetsuhiro Shinomiya, Aya Kudomi, Nobuyuki Yamamoto, Yuka Nishiyama, Yoshihiro Tamiya, Takashi |
author_facet | Miyake, Keisuke Suzuki, Kenta Ogawa, Tomoya Ogawa, Daisuke Hatakeyama, Tetsuhiro Shinomiya, Aya Kudomi, Nobuyuki Yamamoto, Yuka Nishiyama, Yoshihiro Tamiya, Takashi |
author_sort | Miyake, Keisuke |
collection | PubMed |
description | BACKGROUND: The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 World Health Organization (WHO) classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imaging. The present study aimed to define the interrelationship between the 2016 WHO classification of gliomas and the integrated data from PET images using multiple tracers, including (18)F-fluorodeoxyglucose ((18)F-FDG), (11)C-methionine ((11)C-MET), (18)F-fluorothymidine ((18)F-FLT), and (18)F-fluoromisonidazole ((18)F-FMISO). METHODS: This retrospective, single-center study comprised 113 patients with newly diagnosed glioma based on the 2016 WHO criteria. Patients were divided into 4 glioma subtypes (Mut, Codel, Wt, and glioblastoma multiforme [GBM]). Tumor standardized uptake value (SUV) divided by mean normal cortical SUV (tumor–normal tissue ratio [TNR]) was calculated for (18)F-FDG, (11)C-MET, and (18)F-FLT. Tumor–blood SUV ratio (TBR) was calculated for (18)F-FMISO. To assess the diagnostic accuracy of PET tracers in distinguishing glioma subtypes, a comparative analysis of TNRs and TBR as well as the metabolic tumor volume (MTV) were calculated by Scheffe's multiple comparison procedure for each PET tracer following the Kruskal–Wallis test. RESULTS: The differences in mean (18)F-FLT TNR and (18)F-FMISO TBR were significant between GBM and other glioma subtypes (P < .001). Regarding the comparison between Gd-T1WI volumes and (18)F-FLT MTVs or (18)F-FMISO MTVs, we identified significant differences between Wt and Mut or Codel (P < .01). CONCLUSION: Combined administration of 4 PET tracers might aid in the preoperative differential diagnosis of gliomas according to the 2016 WHO criteria. |
format | Online Article Text |
id | pubmed-7920529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79205292021-03-04 Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria Miyake, Keisuke Suzuki, Kenta Ogawa, Tomoya Ogawa, Daisuke Hatakeyama, Tetsuhiro Shinomiya, Aya Kudomi, Nobuyuki Yamamoto, Yuka Nishiyama, Yoshihiro Tamiya, Takashi Neurooncol Adv Clinical Investigations BACKGROUND: The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 World Health Organization (WHO) classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imaging. The present study aimed to define the interrelationship between the 2016 WHO classification of gliomas and the integrated data from PET images using multiple tracers, including (18)F-fluorodeoxyglucose ((18)F-FDG), (11)C-methionine ((11)C-MET), (18)F-fluorothymidine ((18)F-FLT), and (18)F-fluoromisonidazole ((18)F-FMISO). METHODS: This retrospective, single-center study comprised 113 patients with newly diagnosed glioma based on the 2016 WHO criteria. Patients were divided into 4 glioma subtypes (Mut, Codel, Wt, and glioblastoma multiforme [GBM]). Tumor standardized uptake value (SUV) divided by mean normal cortical SUV (tumor–normal tissue ratio [TNR]) was calculated for (18)F-FDG, (11)C-MET, and (18)F-FLT. Tumor–blood SUV ratio (TBR) was calculated for (18)F-FMISO. To assess the diagnostic accuracy of PET tracers in distinguishing glioma subtypes, a comparative analysis of TNRs and TBR as well as the metabolic tumor volume (MTV) were calculated by Scheffe's multiple comparison procedure for each PET tracer following the Kruskal–Wallis test. RESULTS: The differences in mean (18)F-FLT TNR and (18)F-FMISO TBR were significant between GBM and other glioma subtypes (P < .001). Regarding the comparison between Gd-T1WI volumes and (18)F-FLT MTVs or (18)F-FMISO MTVs, we identified significant differences between Wt and Mut or Codel (P < .01). CONCLUSION: Combined administration of 4 PET tracers might aid in the preoperative differential diagnosis of gliomas according to the 2016 WHO criteria. Oxford University Press 2020-12-07 /pmc/articles/PMC7920529/ /pubmed/33681765 http://dx.doi.org/10.1093/noajnl/vdaa172 Text en © The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Investigations Miyake, Keisuke Suzuki, Kenta Ogawa, Tomoya Ogawa, Daisuke Hatakeyama, Tetsuhiro Shinomiya, Aya Kudomi, Nobuyuki Yamamoto, Yuka Nishiyama, Yoshihiro Tamiya, Takashi Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title | Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title_full | Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title_fullStr | Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title_full_unstemmed | Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title_short | Multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 World Health Organization criteria |
title_sort | multiple positron emission tomography tracers for use in the classification of gliomas according to the 2016 world health organization criteria |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920529/ https://www.ncbi.nlm.nih.gov/pubmed/33681765 http://dx.doi.org/10.1093/noajnl/vdaa172 |
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