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...

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Detalles Bibliográficos
Autores principales: Chen, Yongye, Qin, Siyuan, Zhao, Weili, Wang, Qizheng, Liu, Ke, Xin, Peijin, Yuan, Huishu, Zhuang, Hongqing, Lang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
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

Internet

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

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