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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Cancers (Basel)
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
Soggetti:
Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7589463/
https://ncbi.nlm.nih.gov/pubmed/33086761
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers12103047
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi