Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

Abstract Background This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients. Methods One hundred fifty-four OPSCC patients who received pretreatment FDG-PET were in...

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Bibliographic Details
Main Authors: Noriyuki Fujima, V. Carlota Andreu-Arasa, Sara K. Meibom, Gustavo A. Mercier, Minh Tam Truong, Kenji Hirata, Koichi Yasuda, Satoshi Kano, Akihiro Homma, Kohsuke Kudo, Osamu Sakai
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Cancer
Subjects:
Deep learning
Oropharyngeal squamous cell carcinoma
FDG-PET
Treatment outcome
Online Access:https://doi.org/10.1186/s12885-021-08599-6

Internet

https://doi.org/10.1186/s12885-021-08599-6

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