ArticleOncotarget2017
Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Study of 18 F-fluciclovine PET for serial assessment of glioblastoma tumor volumes during surgery and radiotherapy.Journal of neuro-oncology · 2025Article
- Article
- The brains of aged mice are characterized by altered tissue diffusion properties and cerebral microbleeds.Journal of translational medicine · 2020Article
- An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI.Scientific reports · 2020Article
- Whole-tumor histogram analysis of DWI and QSI for differentiating between meningioma and schwannoma: a pilot study.Japanese journal of radiology · 2019Article
- Generalized diffusion spectrum magnetic resonance imaging (GDSI) for model-free reconstruction of the ensemble average propagator.NeuroImage · 2019Article
- Article
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
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.
methodsWe 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.
resultsIn a rodent glioblastoma model, GQI demonstrated a poorly coherent core region, consisting of diffusion tracts <5 mm, surrounded by a shell of highly coherent diffusion tracts, 6-25 mm. Histologically, the core region possessed a high degree of necrosis, whereas the shell consisted of organized sheets of anaplastic cells with elevated mitotic index. These attributes define tumor architecture as the macroscopic organization of variably aligned tumor cells. Applied to MRI data from The Cancer Imaging Atlas (TCGA), the core-shell diffusion tract-length ratio (c/s ratio) correlated linearly with necrosis, which, in turn, was inversely associated with survival (p = 0.00002). We confirmed in an independent cohort of patients (n = 62) that the c/s ratio correlated inversely with survival (p = 0.0004).
conclusionsThe analysis of MR images by GQI affords insight into tumor architectural patterns in glioblastoma that correlate with biological heterogeneity and clinical outcome.
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