Predictive modeling of outcomes following definitive chemoradiotherapy for oropharyngeal cancer based on FDG-PET image characteristics

In this study, we investigate the use of imaging feature-based outcomes research (“radiomics”) combined with machine learning techniques to develop robust predictive models for the risk of all-cause mortality (ACM), local failure (LF), and distant metastasis (DM) following definitive chemoradiation...

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Detaylı Bibliyografya
Yayımlandı:Phys Med Biol
Asıl Yazarlar: Folkert, Michael R., Setton, Jeremy, Apte, Aditya P., Grkovski, Milan, Young, Robert J., Schöder, Heiko, Thorstad, Wade L., Lee, Nancy Y., Deasy, Joseph O., Hun Oh, Jung
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2017
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5729737/
https://ncbi.nlm.nih.gov/pubmed/28604368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aa73cc
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