Development of a nomogram based on radiomics and semantic features for predicting chromosome 7 gain/chromosome 10 loss in IDH wild-type histologically low-grade gliomas

PURPOSE: To predict chromosome 7 gain and chromosome 10 loss (+7/-10) in IDH wild-type (IDH-wt) histologically low-grade gliomas (LGG) by machine learning models based on MRI radiomics and semantic features. METHODS: A total of 122 patients diagnosed as IDH-wt histologically LGG were retrospectively...

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Detalles Bibliográficos
Autores principales: Kong, Xin, Mao, Yu, Xi, Fengjun, Li, Yan, Luo, Yuqi, Ma, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541227/
https://www.ncbi.nlm.nih.gov/pubmed/37781185
http://dx.doi.org/10.3389/fonc.2023.1196614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541227/
https://www.ncbi.nlm.nih.gov/pubmed/37781185
http://dx.doi.org/10.3389/fonc.2023.1196614

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