Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT

BACKGROUND: Pre-treatment FDG-PET/CT scans were analyzed with machine learning to predict progression of lung malignancies and overall survival (OS). METHODS: A retrospective review across three institutions identified patients with a pre-procedure FDG-PET/CT and an associated malignancy diagnosis....

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Detalles Bibliográficos
Autores principales: Huang, Brian, Sollee, John, Luo, Yong-Heng, Reddy, Ashwin, Zhong, Zhusi, Wu, Jing, Mammarappallil, Joseph, Healey, Terrance, Cheng, Gang, Azzoli, Christopher, Korogodsky, Dana, Zhang, Paul, Feng, Xue, Li, Jie, Yang, Li, Jiao, Zhicheng, Bai, Harrison Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278031/
https://www.ncbi.nlm.nih.gov/pubmed/35810561
http://dx.doi.org/10.1016/j.ebiom.2022.104127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278031/
https://www.ncbi.nlm.nih.gov/pubmed/35810561
http://dx.doi.org/10.1016/j.ebiom.2022.104127

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