Sensitivity of an AI method for [(18)F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols

BACKGROUND: Convolutional neural networks (CNNs), applied to baseline [(18)F]-FDG PET/CT maximum intensity projections (MIPs), show potential for treatment outcome prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to investigate the robustness of CNN predictions to differ...

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Detalles Bibliográficos
Autores principales: Ferrández, Maria C., Golla, Sandeep S. V., Eertink, Jakoba J., de Vries, Bart M., Wiegers, Sanne E., Zwezerijnen, Gerben J. C., Pieplenbosch, Simone, Schilder, Louise, Heymans, Martijn W., Zijlstra, Josée M., Boellaard, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533444/
https://www.ncbi.nlm.nih.gov/pubmed/37758869
http://dx.doi.org/10.1186/s13550-023-01036-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533444/
https://www.ncbi.nlm.nih.gov/pubmed/37758869
http://dx.doi.org/10.1186/s13550-023-01036-8

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