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Titel:

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

Dokumenttyp:
Article; Journal Article
Autor(en):
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
Abstract:
Imaging features for radiomic analyses are commonly calculated from the entire gross tumour volume (GTV entire). However, tumours are biologically complex and the consideration of different tumour regions in radiomic models may lead to an improved outcome prediction. Therefore, we investigated the prognostic value of radiomic analyses based on different tumour sub-volumes using computed tomography imaging of patients with locally advanced head and neck squamous cell carcinoma. The GTV entire  wa...     »
Zeitschriftentitel:
Cancers (Basel)
Jahr:
2020
Band / Volume:
12
Heft / Issue:
10
Volltext / DOI:
doi:10.3390/cancers12103047
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/33086761
TUM Einrichtung:
Klinik und Poliklinik für RadioOnkologie und Strahlentherapie
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