Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models

Radiomics analyses commonly apply imaging features of different complexity for the prediction of the endpoint of interest. However, the prognostic value of each feature class is generally unclear. Furthermore, many radiomics models lack independent external validation that is decisive for their clin...

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Detalles Bibliográficos
Autores principales: Shahzadi, Iram, Zwanenburg, Alex, Lattermann, Annika, Linge, Annett, Baldus, Christian, Peeken, Jan C., Combs, Stephanie E., Diefenhardt, Markus, Rödel, Claus, Kirste, Simon, Grosu, Anca-Ligia, Baumann, Michael, Krause, Mechthild, Troost, Esther G. C., Löck, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205935/
https://www.ncbi.nlm.nih.gov/pubmed/35715462
http://dx.doi.org/10.1038/s41598-022-13967-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205935/
https://www.ncbi.nlm.nih.gov/pubmed/35715462
http://dx.doi.org/10.1038/s41598-022-13967-8

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