J 2023

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

SPIELVOGEL, Clemens P, Stefan STOIBER, Laszlo PAPP, Denis KRAJNC, Marko GRAHOVAC et. al.

Basic information

Original name

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

Authors

SPIELVOGEL, Clemens P, Stefan STOIBER, Laszlo PAPP, Denis KRAJNC, Marko GRAHOVAC, Elisabeth GURNHOFER, Karolína TRACHTOVÁ (203 Czech Republic, belonging to the institution), Vojtěch BYSTRÝ (203 Czech Republic, belonging to the institution), Asha LEISSER, Bernhard JANK, Julia SCHNOELL, Lorenz KADLETZ, Gregor HEIDUSCHKA, Thomas BEYER, Marcus HACKER, Lukas KENNER (guarantor) and Alexander R HAUG

Edition

European Journal of Nuclear Medicine and Molecular Imaging, NEW YORK, SPRINGER, 2023, 1619-7070

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30224 Radiology, nuclear medicine and medical imaging

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 9.100 in 2022

RIV identification code

RIV/00216224:14740/23:00133757

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1007/s00259-022-05973-9

UT WoS

000859613300002

Keywords in English

Head and neck cancer; Biomarkers; Radiomics; Machine learning; Artificial intelligence; Cancer genomics

Tags

CF BIOIT, CF GEN, rivok

Tags

International impact, Reviewed
Změněno: 15/10/2024 14:52, Ing. Martina Blahová

Abstract

V originále

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.

Links

90267, large research infrastructures
Name: NCMG III
Displayed: 12/11/2024 13:52