Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma

BACKGROUND: Glioblastoma is the commonest malignant brain tumour. Sarcopenia is associated with worse cancer survival, but manually quantifying muscle on imaging is time-consuming. We present a deep learning-based system for quantification of temporalis muscle, a surrogate for skeletal muscle mass,...

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Detalles Bibliográficos
Autores principales: Mi, Ella, Mauricaite, Radvile, Pakzad-Shahabi, Lillie, Chen, Jiarong, Ho, Andrew, Williams, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770629/
https://www.ncbi.nlm.nih.gov/pubmed/34848854
http://dx.doi.org/10.1038/s41416-021-01590-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770629/
https://www.ncbi.nlm.nih.gov/pubmed/34848854
http://dx.doi.org/10.1038/s41416-021-01590-9

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