Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach

OBJECTIVES: To evaluate the performance of machine learning–augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas. METHODS: Forty-four subjects were identified retrospectively from patients who received NAC at our institution for patho...

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Detalles Bibliográficos
Autores principales: Fields, Brandon K. K., Demirjian, Natalie L., Cen, Steven Y., Varghese, Bino A., Hwang, Darryl H., Lei, Xiaomeng, Desai, Bhushan, Duddalwar, Vinay, Matcuk, George R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333397/
https://www.ncbi.nlm.nih.gov/pubmed/36695966
http://dx.doi.org/10.1007/s11307-023-01803-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333397/
https://www.ncbi.nlm.nih.gov/pubmed/36695966
http://dx.doi.org/10.1007/s11307-023-01803-y

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