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Article Dans Une Revue Médecine Nucléaire - Imagerie Fonctionnelle et Métabolique Année : 2020

Joint SFMN/ANOCEF focus on 18F-FDOPA PET imaging in glioma: Current applications and perspectives

La TEP à la 18F-FDOPA dans les gliomes : applications actuelles et perspectives

Résumé

18F-FDOPA PET has demonstrated its additional value during the clinical course of glioma, at initial diagnosis, for treatment planning or follow-up. The aim of the current review was to summarize current applications of 18F-FDOPA PET in gliomas and constitute, as a perspective, a first step in harmonizing clinical practices in French centers. In France, the indication for 18F-FDOPA PET is restricted to the assessment of primary brain tumor recurrence. According to the literature, this indication could be expanded to primary diagnosis and, to a lesser extent, treatment monitoring. There is a real need to harmonize standard procedures among French centers. The objective is to increase the availability of data for this rare entity of glioma and to develop multi-parametric PET analyses (static, dynamic and textural), also known as radiomics, by using artificial intelligence algorithms. For this purpose, kinetics analysis with dynamic PET acquisition should be implemented in routine practice because it has demonstrated its additional value for initial diagnosis in gliomas. Therefore, this review proposes a workflow based on acquisition and reconstruction parameters that can be implemented in each center to increase the amount of standardized 18F-FDOPA PET data in neuro-oncology imaging in France. This would help in creating a national database and developing national multi-center studies that can respond to the challenge of using multi-parametric PET in glioma.
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Dates et versions

cea-02962446 , version 1 (22-08-2022)

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Paternité - Pas d'utilisation commerciale

Identifiants

Citer

A. Verger, A. Kas, J. Darcourt, O. Chinot, L. Taillandier, et al.. Joint SFMN/ANOCEF focus on 18F-FDOPA PET imaging in glioma: Current applications and perspectives. Médecine Nucléaire - Imagerie Fonctionnelle et Métabolique, 2020, 44 (3), pp.164-171. ⟨10.1016/j.mednuc.2020.02.006⟩. ⟨cea-02962446⟩
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