Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with (18)F-FDG PET Radiomics Based Machine Learning Classification

Background: Approximately 26% of esophageal cancer (EC) patients do not respond to neoadjuvant chemoradiotherapy (nCRT), emphasizing the need for pre-treatment selection. The aim of this study was to predict non-response using a radiomic model on baseline (18)F-FDG PET. Methods: Retrospectively, 143...

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Detalles Bibliográficos
Autores principales: Beukinga, Roelof J., Poelmann, Floris B., Kats-Ugurlu, Gursah, Viddeleer, Alain R., Boellaard, Ronald, de Haas, Robbert J., Plukker, John Th. M., Hulshoff, Jan Binne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139915/
https://www.ncbi.nlm.nih.gov/pubmed/35626225
http://dx.doi.org/10.3390/diagnostics12051070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139915/
https://www.ncbi.nlm.nih.gov/pubmed/35626225
http://dx.doi.org/10.3390/diagnostics12051070

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