Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC

SIMPLE SUMMARY: Radiomic risk models are usually based on imaging features, which are extracted from the entire gross tumour volume (GTV [Formula: see text]). This approach does not explicitly consider the complex biological structure of the tumours. Therefore, in this retrospective study, we invest...

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Detalles Bibliográficos
Autores principales: Leger, Stefan, Zwanenburg, Alex, Leger, Karoline, Lohaus, Fabian, Linge, Annett, Schreiber, Andreas, Kalinauskaite, Goda, Tinhofer, Inge, Guberina, Nika, Guberina, Maja, Balermpas, Panagiotis, von der Grün, Jens, Ganswindt, Ute, Belka, Claus, Peeken, Jan C., Combs, Stephanie E., Boeke, Simon, Zips, Daniel, Richter, Christian, Krause, Mechthild, Baumann, Michael, Troost, Esther G.C., Löck, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589463/
https://www.ncbi.nlm.nih.gov/pubmed/33086761
http://dx.doi.org/10.3390/cancers12103047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589463/
https://www.ncbi.nlm.nih.gov/pubmed/33086761
http://dx.doi.org/10.3390/cancers12103047

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