| SPIELVOGEL, Clemens P, Stefan STOIBER, Laszlo PAPP, Denis KRAJNC, Marko GRAHOVAC, Elisabeth GURNHOFER, Karolína TRACHTOVÁ, Vojtěch BYSTRÝ, Asha LEISSER, Bernhard JANK, Julia SCHNOELL, Lorenz KADLETZ, Gregor HEIDUSCHKA, Thomas BEYER, Marcus HACKER, Lukas KENNER and Alexander R HAUG. Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer. European Journal of Nuclear Medicine and Molecular Imaging. NEW YORK: SPRINGER, 2023, vol. 50, No 2, p. 546-558. ISSN 1619-7070. Available from: https://dx.doi.org/10.1007/s00259-022-05973-9. |
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@article{2383197,
author = {Spielvogel, Clemens P and Stoiber, Stefan and Papp, Laszlo and Krajnc, Denis and Grahovac, Marko and Gurnhofer, Elisabeth and Trachtová, Karolína and Bystrý, Vojtěch and Leisser, Asha and Jank, Bernhard and Schnoell, Julia and Kadletz, Lorenz and Heiduschka, Gregor and Beyer, Thomas and Hacker, Marcus and Kenner, Lukas and Haug, Alexander R},
article_location = {NEW YORK},
article_number = {2},
doi = {http://dx.doi.org/10.1007/s00259-022-05973-9},
keywords = {Head and neck cancer; Biomarkers; Radiomics; Machine learning; Artificial intelligence; Cancer genomics},
language = {eng},
issn = {1619-7070},
journal = {European Journal of Nuclear Medicine and Molecular Imaging},
title = {Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer},
url = {https://link.springer.com/article/10.1007/s00259-022-05973-9},
volume = {50},
year = {2023}
}
TY - JOUR
ID - 2383197
AU - 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
PY - 2023
TI - Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer
JF - European Journal of Nuclear Medicine and Molecular Imaging
VL - 50
IS - 2
SP - 546-558
EP - 546-558
PB - SPRINGER
SN - 16197070
KW - Head and neck cancer
KW - Biomarkers
KW - Radiomics
KW - Machine learning
KW - Artificial intelligence
KW - Cancer genomics
UR - https://link.springer.com/article/10.1007/s00259-022-05973-9
N2 - 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.
ER -
SPIELVOGEL, Clemens P, Stefan STOIBER, Laszlo PAPP, Denis KRAJNC, Marko GRAHOVAC, Elisabeth GURNHOFER, Karolína TRACHTOVÁ, Vojtěch BYSTRÝ, Asha LEISSER, Bernhard JANK, Julia SCHNOELL, Lorenz KADLETZ, Gregor HEIDUSCHKA, Thomas BEYER, Marcus HACKER, Lukas KENNER and Alexander R HAUG. Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer. \textit{European Journal of Nuclear Medicine and Molecular Imaging}. NEW YORK: SPRINGER, 2023, vol.~50, No~2, p.~546-558. ISSN~1619-7070. Available from: https://dx.doi.org/10.1007/s00259-022-05973-9.
|
