Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI

Glioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared to local recurrence, which requires different treatment planning both in clinical practice and trials. To date, perfus...

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Detalles Bibliográficos
Autores principales: Shim, Ka Young, Chung, Sung Won, Jeong, Jae Hak, Hwang, Inpyeong, Park, Chul-Kee, Kim, Tae Min, Park, Sung-Hye, Won, Jae Kyung, Lee, Joo Ho, Lee, Soon-Tae, Yoo, Roh-Eul, Kang, Koung Mi, Yun, Tae Jin, Kim, Ji-Hoon, Sohn, Chul-Ho, Choi, Kyu Sung, Choi, Seung Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113258/
https://www.ncbi.nlm.nih.gov/pubmed/33976264
http://dx.doi.org/10.1038/s41598-021-89218-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113258/
https://www.ncbi.nlm.nih.gov/pubmed/33976264
http://dx.doi.org/10.1038/s41598-021-89218-z

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