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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

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