Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer

SIMPLE SUMMARY: A Machine Learning-based radiomics approach applied to hybrid 18F-FDG PET/MRI might predict axillary lymph node involvement in breast cancer based on the analysis of primary cancer lesions. Indeed, the depiction of tumor heterogeneity through the extraction of radiomics features for...

Descripción completa

Detalles Bibliográficos
Autores principales: Romeo, Valeria, Kapetas, Panagiotis, Clauser, Paola, Rasul, Sazan, Cuocolo, Renato, Caruso, Martina, Helbich, Thomas H., Baltzer, Pascal A. T., Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604950/
https://www.ncbi.nlm.nih.gov/pubmed/37894455
http://dx.doi.org/10.3390/cancers15205088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604950/
https://www.ncbi.nlm.nih.gov/pubmed/37894455
http://dx.doi.org/10.3390/cancers15205088

Ejemplares similares