Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
about
Radiogenomic Analysis of Oncological Data: A Technical Survey.Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma.Comparison among conventional and advanced MRI, 18F-FDG PET/CT, phenotype and genotype in glioblastoma.Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma.Background, current role, and potential applications of radiogenomics.Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response.New extracellular factors in glioblastoma multiforme development: neurotensin, growth differentiation factor-15, sphingosine-1-phosphate and cytomegalovirus infection.Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies.Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.Radiogenomics Profiling for Glioblastoma-related Immune Cells Reveals CD49d Expression Correlation with MRI parameters and PrognosisMolecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomasLesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas
P2860
Q33624662-19BF326D-ED85-4040-85DF-DEE624AEB6E0Q38975001-B76C8E1D-1588-4EC5-A32D-C10F5E68B739Q47113143-17E2B3BB-1A90-476B-A013-5AC4DF9A12C2Q47559117-7578509F-CE30-4582-93A5-FF7E6EE591BDQ47669653-C27FD9F2-A14B-4103-BA17-726B2DD890FBQ50041531-1C9AEFCD-5483-4054-BBF9-91C377A16222Q52629217-6B0B343E-E795-4C49-BBE0-D8E13DAD6CD5Q52691329-96B66491-E4EC-4236-8B0E-536B712270E6Q53073424-6318E793-7D44-4DFA-A89A-06BBA1E285D9Q54948216-5755E3FC-DE2B-4EE1-AF48-4E007DB238B2Q58099090-A9F63205-0BE3-4DB9-AFF2-483DE293C457Q58772586-D1511030-7231-474F-8FC4-3B4F7A736463Q58799739-C46F2491-A993-427D-91B1-629F0CE3D3C0
P2860
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@en
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@nl
type
label
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@en
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@nl
prefLabel
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@en
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@nl
P2093
P2860
P356
P1433
P1476
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
@en
P2093
Amylou C Dueck
Brian P O'Neill
C Chad Quarles
David Frakes
Hugues Sicotte
J Ross Mitchell
Jann Sarkaria
Jennifer M Eschbacher
John P Karis
P2860
P304
P356
10.1093/NEUONC/NOW135
P50
P577
2016-08-08T00:00:00Z