NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics

BACKGROUND: Accurate and repeatable measurement of high-grade glioma (HGG) enhancing (Enh.) and T2/FLAIR hyperintensity/edema (Ed.) is required for monitoring treatment response. 3D measurements can be used to inform the modified Response Assessment in Neuro-oncology criteria. We aim to develop an H...

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Detalles Bibliográficos
Autores principales: Abayazeed, Aly H, Abbassy, Ahmed, Müeller, Michael, Hill, Michael, Qayati, Mohamed, Mohamed, Shady, Mekhaimar, Mahmoud, Raymond, Catalina, Dubey, Prachi, Nael, Kambiz, Rohatgi, Saurabh, Kapare, Vaishali, Kulkarni, Ashwini, Shiang, Tina, Kumar, Atul, Andratschke, Nicolaus, Willmann, Jonas, Brawanski, Alexander, De Jesus, Reordan, Tuna, Ibrahim, Fung, Steve H, Landolfi, Joseph C, Ellingson, Benjamin M, Reyes, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850874/
https://www.ncbi.nlm.nih.gov/pubmed/36685009
http://dx.doi.org/10.1093/noajnl/vdac184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850874/
https://www.ncbi.nlm.nih.gov/pubmed/36685009
http://dx.doi.org/10.1093/noajnl/vdac184

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