Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.
- DOI
- 10.3389/fmed.2026.1910248
- Published
- 2026
- Container
- Frontiers in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2026.1910248,
title = {Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.},
author = {Gong W and Liu X and Wang M and Hu X and Yan G and Liu K and Li Y and Zhang T},
year = {2026},
journal = {Frontiers in medicine},
doi = {10.3389/fmed.2026.1910248},
url = {https://doi.org/10.3389/fmed.2026.1910248}
}RIS
TY - JOUR TI - Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study. AU - Gong W AU - Liu X AU - Wang M AU - Hu X AU - Yan G AU - Liu K AU - Li Y AU - Zhang T PY - 2026 JO - Frontiers in medicine DO - 10.3389/fmed.2026.1910248 UR - https://doi.org/10.3389/fmed.2026.1910248 ER -
APA
W, G., X, L., M, W., X, H., G, Y., K, L., Y, L., & T, Z. (2026). Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1910248
Source records
- pubmed · retrieved 2026-11-10T11:38:10.650Z