An Innovative Non-Linear Prediction Model for Clinical Benefit in Women with Newly Diagnosed Breast Cancer Using Baseline FDG-PET/CT and Clinical Data

SIMPLE SUMMARY: This study aimed to develop an innovative non-linear statistical model to predict clinical benefit in women with newly diagnosed breast cancer. A logistic generalized additive model was chosen as an innovative statistical approach, as opposed to conventional techniques. Clinical data...

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Detalles Bibliográficos
Autores principales: Kudura, Ken, Ritz, Nando, Templeton, Arnoud J., Kutzker, Tim, Hoffmann, Martin H. K., Antwi, Kwadwo, Zwahlen, Daniel R., Kreissl, Michael C., Foerster, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670812/
https://www.ncbi.nlm.nih.gov/pubmed/38001736
http://dx.doi.org/10.3390/cancers15225476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670812/
https://www.ncbi.nlm.nih.gov/pubmed/38001736
http://dx.doi.org/10.3390/cancers15225476

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