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Título

Implications of the Harmonization of [18F]FDG-PET/CT Imaging for Response Assessment of Treatment in Radiotherapy Planning

AutorJiménez Ortega, Elisa CSIC ORCID; Agüera, Raquel; Ureba, Ana; Balcerzyk, Marcin CSIC ORCID; Wals-Zurita, Amadeo; García-García, Francisco J. CSIC ORCID; Leal, Antonio CSIC ORCID
Palabras claveEANM guidelines
EARL accreditation
Harmonization
FDG-PET
Reconstruction protocol
Radiotherapy planning
Dose painting
FDG monitoring
Fecha de publicación12-abr-2022
EditorMultidisciplinary Digital Publishing Institute
CitaciónTomography 8(2): 1097-1112 (2022)
ResumenThe purpose of this work is to present useful recommendations for the use of [F]FDG-PET/CT imaging in radiotherapy planning and monitoring under different versions of EARL accreditation for harmonization of PET devices. A proof-of-concept experiment designed on an an-thropomorphic phantom was carried out to establish the most suitable interpolation methods of the PET images in the different steps of the planning procedure. Based on PET/CT images obtained by using these optimal interpolations for the old EARL accreditation (EARL1) and for the new one (EARL2), the treatment plannings of representative actual clinical cases were calculated, and the clinical implications of the resulting differences were analyzed. As expected, EARL2 provided smaller volumes with higher resolution than EARL1. The increase in the size of the reconstructed volumes with EARL1 accreditation caused high doses in the organs at risk and in the regions adjacent to the target volumes. EARL2 accreditation allowed an improvement in the accuracy of the PET imaging precision, allowing more personalized radiotherapy. This work provides recommendations for those centers that intend to benefit from the new accreditation, EARL2, and can help build confidence of those that must continue working under the EARL1 accreditation.
Versión del editorhttp://doi.org/10.3390/tomography8020090
URIhttp://hdl.handle.net/10261/278278
DOI10.3390/tomography8020090
Identificadoresdoi: 10.3390/tomography8020090
issn: 2379-139X
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