Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer

BACKGROUND: No evidence supports the choice of specific imaging filtering methodologies in radiomics. As the volume of the primary tumor is a well-recognized prognosticator, our purpose is to assess how filtering may impact the feature/volume dependency in computed tomography (CT) images of non-smal...

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Detalles Bibliográficos
Autores principales: Volpe, Stefania, Isaksson, Lars Johannes, Zaffaroni, Mattia, Pepa, Matteo, Raimondi, Sara, Botta, Francesca, Lo Presti, Giuliana, Vincini, Maria Giulia, Rampinelli, Cristiano, Cremonesi, Marta, de Marinis, Filippo, Spaggiari, Lorenzo, Gandini, Sara, Guckenberger, Matthias, Orecchia, Roberto, Jereczek-Fossa, Barbara Alicja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830263/
https://www.ncbi.nlm.nih.gov/pubmed/36636424
http://dx.doi.org/10.21037/tlcr-22-248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830263/
https://www.ncbi.nlm.nih.gov/pubmed/36636424
http://dx.doi.org/10.21037/tlcr-22-248

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