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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Udgivet i:Sci Rep
Main Authors: 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
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2021
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8113258/
https://ncbi.nlm.nih.gov/pubmed/33976264
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89218-z
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