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MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases
OBJECTIVE: This study aimed to extract radiomics features from MRI using machine learning (ML) algorithms and integrate them with clinical features to build response prediction models for patients with spinal metastases undergoing stereotactic body radiotherapy (SBRT). METHODS: Patients with spinal...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564690/ https://www.ncbi.nlm.nih.gov/pubmed/37817044 http://dx.doi.org/10.1186/s13244-023-01523-5 |