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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814216/
https://www.ncbi.nlm.nih.gov/pubmed/29464076
http://dx.doi.org/10.18632/oncotarget.23975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814216/
https://www.ncbi.nlm.nih.gov/pubmed/29464076
http://dx.doi.org/10.18632/oncotarget.23975

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