Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma

While it is recognized that the overall resistance of glioblastoma to treatment may be related to intra-tumor patterns of structural heterogeneity, imaging methods to assess such patterns remain rudimentary. We utilized a generalized Q-space imaging (GQI) algorithm to analyze magnetic resonance imag...

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Bibliographic Details
Published in:Oncotarget 2017-06, Vol.8 (26), p.41815-41826
Main Authors: Taylor, Erik N, Ding, Yao, Zhu, Shan, Cheah, Eric, Alexander, Phillip, Lin, Leon, Aninwene, 2nd, George E, Hoffman, Matthew P, Mahajan, Anita, Mohamed, Abdallah S R, McDannold, Nathan, Fuller, Clifton D, Chen, Clark C, Gilbert, Richard J
Format: Article
Language:English
Subjects:
Algorithms
Animals
Biomarkers, Tumor
Brain - pathology
Brain Neoplasms - diagnosis
Brain Neoplasms - genetics
Brain Neoplasms - mortality
Disease Models, Animal
Female
Glioblastoma - diagnosis
Glioblastoma - genetics
Glioblastoma - mortality
Humans
Image Interpretation, Computer-Assisted
Image Processing, Computer-Assisted
Magnetic Resonance Imaging - methods
Male
Necrosis - pathology
Priority Research Paper
Prognosis
Rats
Reproducibility of Results
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Summary:While it is recognized that the overall resistance of glioblastoma to treatment may be related to intra-tumor patterns of structural heterogeneity, imaging methods to assess such patterns remain rudimentary. We utilized a generalized Q-space imaging (GQI) algorithm to analyze magnetic resonance imaging (MRI) derived from a rodent model of glioblastoma and 2 clinical datasets to correlate GQI, histology, and survival. In a rodent glioblastoma model, GQI demonstrated a poorly coherent core region, consisting of diffusion tracts
ISSN:1949-2553
1949-2553
DOI:10.18632/oncotarget.16296