A prognostic model integrating PET‐derived metrics and image texture analyses with clinical risk factors from GOYA

Image texture analysis (radiomics) uses radiographic images to quantify characteristics that may identify tumour heterogeneity and associated patient outcomes. Using fluoro‐deoxy‐glucose positron emission tomography/computed tomography (FDG‐PET/CT)‐derived data, including quantitative metrics, image...

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Detalles Bibliográficos
Autores principales: Kostakoglu, Lale, Dalmasso, Federico, Berchialla, Paola, Pierce, Larry A., Vitolo, Umberto, Martelli, Maurizio, Sehn, Laurie H., Trněný, Marek, Nielsen, Tina G., Bolen, Christopher R., Sahin, Deniz, Lee, Calvin, El‐Galaly, Tarec Christoffer, Mattiello, Federico, Kinahan, Paul E., Chauvie, Stephane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Haematologic Malignancy ‐ Lymphoid
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175666/
https://www.ncbi.nlm.nih.gov/pubmed/35846039
http://dx.doi.org/10.1002/jha2.421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175666/
https://www.ncbi.nlm.nih.gov/pubmed/35846039
http://dx.doi.org/10.1002/jha2.421

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