Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

PURPOSE: Sarcopenia is an established prognostic factor in patients diagnosed with head and neck squamous cell carcinoma (HNSCC). The quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical neck skeletal muscl...

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Detalles Bibliográficos
Autores principales: Ye, Zezhong, Saraf, Anurag, Ravipati, Yashwanth, Hoebers, Frank, Zha, Yining, Zapaishchykova, Anna, Likitlersuang, Jirapat, Tishler, Roy B., Schoenfeld, Jonathan D., Margalit, Danielle N., Haddad, Robert I., Mak, Raymond H., Naser, Mohamed, Wahid, Kareem A., Sahlsten, Jaakko, Jaskari, Joel, Kaski, Kimmo, Mäkitie, Antti A., Fuller, Clifton D., Aerts, Hugo J.W.L., Kann, Benjamin H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029039/
https://www.ncbi.nlm.nih.gov/pubmed/36945519
http://dx.doi.org/10.1101/2023.03.01.23286638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029039/
https://www.ncbi.nlm.nih.gov/pubmed/36945519
http://dx.doi.org/10.1101/2023.03.01.23286638

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