Integration of Clinical and CT-Based Radiomic Features for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Breast Cancer

SIMPLE SUMMARY: This study examined the potential of a machine learning model with integrated clinical and CT-based radiomics features in predicting the pathologic complete response (pCR) to neoadjuvant systemic therapy (NST) in patients with breast cancer. Our results demonstrated that integration...

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Detalles Bibliográficos
Autores principales: Tsai, Huei-Yi, Tsai, Tsung-Yu, Wu, Chia-Hui, Chung, Wei-Shiuan, Wang, Jo-Ching, Hsu, Jui-Sheng, Hou, Ming-Feng, Chou, Ming-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777141/
https://www.ncbi.nlm.nih.gov/pubmed/36551746
http://dx.doi.org/10.3390/cancers14246261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777141/
https://www.ncbi.nlm.nih.gov/pubmed/36551746
http://dx.doi.org/10.3390/cancers14246261

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