Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study

The purpose of this study was to determine the predictive power for treatment outcome of a machine-learning algorithm combining magnetic resonance imaging (MRI)-derived data in patients with sinonasal squamous cell carcinomas (SCCs). Thirty-six primary lesions in 36 patients were evaluated. Quantita...

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Detalles Bibliográficos
Autores principales: Fujima, Noriyuki, Shimizu, Yukie, Yoshida, Daisuke, Kano, Satoshi, Mizumachi, Takatsugu, Homma, Akihiro, Yasuda, Koichi, Onimaru, Rikiya, Sakai, Osamu, Kudo, Kohsuke, Shirato, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627127/
https://www.ncbi.nlm.nih.gov/pubmed/31185611
http://dx.doi.org/10.3390/cancers11060800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627127/
https://www.ncbi.nlm.nih.gov/pubmed/31185611
http://dx.doi.org/10.3390/cancers11060800

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