Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study

BACKGROUND: Determining the grade and molecular marker status of intramedullary gliomas is important for assessing treatment outcomes and prognosis. Invasive biopsy for pathology usually carries a high risk of tissue damage, especially to the spinal cord, and there are currently no non-invasive stra...

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Detalles Bibliográficos
Autores principales: Ma, Chao, Wang, Liyang, Song, Dengpan, Gao, Chuntian, Jing, Linkai, Lu, Yang, Liu, Dongkang, Man, Weitao, Yang, Kaiyuan, Meng, Zhe, Zhang, Huifang, Xue, Ping, Zhang, Yupeng, Guo, Fuyou, Wang, Guihuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228074/
https://www.ncbi.nlm.nih.gov/pubmed/37248527
http://dx.doi.org/10.1186/s12916-023-02898-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228074/
https://www.ncbi.nlm.nih.gov/pubmed/37248527
http://dx.doi.org/10.1186/s12916-023-02898-4

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