Impact of the Q.Clear reconstruction algorithm on the interpretation of PET/CT images in patients with lymphoma

BACKGROUND: Q.Clear is a new Bayesian penalized-likelihood PET reconstruction algorithm. It has been documented that Q.Clear increases the SUVmax values of different malignant lesions. PURPOSE: SUVmax values are crucial for the interpretation of PET/CT images in patients with lymphoma, particularly...

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Detalles Bibliográficos
Autores principales: Wyrzykowski, Michał, Siminiak, Natalia, Kaźmierczak, Maciej, Ruchała, Marek, Czepczyński, Rafał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450027/
https://www.ncbi.nlm.nih.gov/pubmed/32845406
http://dx.doi.org/10.1186/s13550-020-00690-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450027/
https://www.ncbi.nlm.nih.gov/pubmed/32845406
http://dx.doi.org/10.1186/s13550-020-00690-6

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