Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas.

Ye M, Cao Z, Zhu Z, Chen S, Zhou J, Yang H, Li X, Chen Q, Luan W, Li M, Tian C, Sun T, Shi F, Zhang X, Zhang B

DOI: 10.3389/fonc.2025.1530144
Published: 2025
Container: Frontiers in oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2025.1530144,
  title = {Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas.},
  author = {Ye M and Cao Z and Zhu Z and Chen S and Zhou J and Yang H and Li X and Chen Q and Luan W and Li M and Tian C and Sun T and Shi F and Zhang X and Zhang B},
  year = {2025},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2025.1530144},
  url = {https://doi.org/10.3389/fonc.2025.1530144}
}

RIS

TY  - JOUR
TI  - Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas.
AU  - Ye M
AU  - Cao Z
AU  - Zhu Z
AU  - Chen S
AU  - Zhou J
AU  - Yang H
AU  - Li X
AU  - Chen Q
AU  - Luan W
AU  - Li M
AU  - Tian C
AU  - Sun T
AU  - Shi F
AU  - Zhang X
AU  - Zhang B
PY  - 2025
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2025.1530144
UR  - https://doi.org/10.3389/fonc.2025.1530144
ER  -

APA

M, Y., Z, C., Z, Z., S, C., J, Z., H, Y., X, L., Q, C., W, L., M, L., C, T., T, S., F, S., X, Z., & B, Z. (2025). Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas.. Frontiers in oncology. https://doi.org/10.3389/fonc.2025.1530144

Source records

pubmed · retrieved 2026-09-26T09:39:05.064Z