Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer

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Authors	SPIELVOGEL Clemens P STOIBER Stefan PAPP Laszlo KRAJNC Denis GRAHOVAC Marko GURNHOFER Elisabeth TRACHTOVÁ Karolína BYSTRÝ Vojtěch LEISSER Asha JANK Bernhard SCHNOELL Julia KADLETZ Lorenz HEIDUSCHKA Gregor BEYER Thomas HACKER Marcus KENNER Lukas HAUG Alexander R
Year of publication	2023
Type	Article in Periodical
Magazine / Source	European Journal of Nuclear Medicine and Molecular Imaging
MU Faculty or unit	Central European Institute of Technology
Citation
Web	https://link.springer.com/article/10.1007/s00259-022-05973-9
Doi	http://dx.doi.org/10.1007/s00259-022-05973-9
Keywords	Head and neck cancer; Biomarkers; Radiomics; Machine learning; Artificial intelligence; Cancer genomics
Description	Purpose Head and neck squamous cell carcinomas (HNSCCs) are a molecularly, histologically, and clinically heterogeneous set of tumors originating from the mucosal epithelium of the oral cavity, pharynx, and larynx. This heterogeneous nature of HNSCC is one of the main contributing factors to the lack of prognostic markers for personalized treatment. The aim of this study was to develop and identify multi-omics markers capable of improved risk stratification in this highly heterogeneous patient population.
Related projects:	NCMG: The National Centre for Medical Genomic