Predicting IDH subtype of grade 4 astrocytoma and glioblastoma from tumor radiomic patterns extracted from multiparametric magnetic resonance images using a machine learning approach

BACKGROUND AND PURPOSE: Semantic imaging features have been used for molecular subclassification of high-grade gliomas. Radiomics-based prediction of molecular subgroups has the potential to strategize and individualize therapy. Using MRI texture features, we propose to distinguish between IDH wild...

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Detalles Bibliográficos
Autores principales: Kandalgaonkar, Pashmina, Sahu, Arpita, Saju, Ann Christy, Joshi, Akanksha, Mahajan, Abhishek, Thakur, Meenakshi, Sahay, Ayushi, Epari, Sridhar, Sinha, Shwetabh, Dasgupta, Archya, Chatterjee, Abhishek, Shetty, Prakash, Moiyadi, Aliasgar, Agarwal, Jaiprakash, Gupta, Tejpal, Goda, Jayant S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585657/
https://www.ncbi.nlm.nih.gov/pubmed/36276136
http://dx.doi.org/10.3389/fonc.2022.879376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585657/
https://www.ncbi.nlm.nih.gov/pubmed/36276136
http://dx.doi.org/10.3389/fonc.2022.879376

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