Quantitative radiomic profiling of glioblastoma represents transcriptomic expression

Quantitative imaging biomarkers have increasingly emerged in the field of research utilizing available imaging modalities. We aimed to identify good surrogate radiomic features that can represent genetic changes of tumors, thereby establishing noninvasive means for predicting treatment outcome. From...

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Veröffentlicht in:Oncotarget
Hauptverfasser: Kong, Doo-Sik, Kim, Junhyung, Ryu, Gyuha, You, Hye-Jin, Sung, Joon Kyung, Han, Yong Hee, Shin, Hye-Mi, Lee, In-Hee, Kim, Sung-Tae, Park, Chul-Kee, Choi, Seung Hong, Choi, Jeong Won, Seol, Ho Jun, Lee, Jung-Il, Nam, Do-Hyun
Format: Artigo
Sprache:Inglês
Veröffentlicht: Impact Journals LLC 2018
Schlagworte:
Research Paper
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5814216/
https://ncbi.nlm.nih.gov/pubmed/29464076
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.23975
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