Predictive performance of diffusion kurtosis imaging combined with magnetic resonance imaging morphological features for MGMT promoter status in glioma.

Gao Y, Song Z, Wang P, Huang H

Open source

DOI
10.21037/tcr-2026-1652
Published
2026 Oct 30
Container
Translational cancer research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.21037/tcr-2026-1652,
  title = {Predictive performance of diffusion kurtosis imaging combined with magnetic resonance imaging morphological features for MGMT promoter status in glioma.},
  author = {Gao Y and Song Z and Wang P and Huang H},
  year = {2026},
  journal = {Translational cancer research},
  doi = {10.21037/tcr-2026-1652},
  url = {https://doi.org/10.21037/tcr-2026-1652}
}

RIS

TY  - JOUR
TI  - Predictive performance of diffusion kurtosis imaging combined with magnetic resonance imaging morphological features for MGMT promoter status in glioma.
AU  - Gao Y
AU  - Song Z
AU  - Wang P
AU  - Huang H
PY  - 2026
JO  - Translational cancer research
DO  - 10.21037/tcr-2026-1652
UR  - https://doi.org/10.21037/tcr-2026-1652
ER  - 

APA

Y, G., Z, S., P, W., & H, H. (2026). Predictive performance of diffusion kurtosis imaging combined with magnetic resonance imaging morphological features for MGMT promoter status in glioma.. Translational cancer research. https://doi.org/10.21037/tcr-2026-1652

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