Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer

IMPORTANCE: Sarcopenia is an established prognostic factor in patients 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 skeletal muscle segmentati...

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Detalles Bibliográficos
Autores principales: Ye, Zezhong, Saraf, Anurag, Ravipati, Yashwanth, Hoebers, Frank, Catalano, Paul J., Zha, Yining, Zapaishchykova, Anna, Likitlersuang, Jirapat, Guthier, Christian, 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: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415962/
https://www.ncbi.nlm.nih.gov/pubmed/37561460
http://dx.doi.org/10.1001/jamanetworkopen.2023.28280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415962/
https://www.ncbi.nlm.nih.gov/pubmed/37561460
http://dx.doi.org/10.1001/jamanetworkopen.2023.28280

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