Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort
- DOI
- 10.1136/jitc-2026-015705
- Published
- 2026-09
- Container
- Journal for ImmunoTherapy of Cancer
- Publisher
- BMJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1136/jitc-2026-015705,
title = {Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort},
author = {Haopeng Yu and Xiaoying Li and Xuan Cheng and Yan Deng and Yuqi Wang and Yu Li and Bingjie Liu and Zixing Huang and Dan Cao},
year = {2026},
journal = {Journal for ImmunoTherapy of Cancer},
doi = {10.1136/jitc-2026-015705},
url = {https://doi.org/10.1136/jitc-2026-015705}
}RIS
TY - JOUR TI - Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort AU - Haopeng Yu AU - Xiaoying Li AU - Xuan Cheng AU - Yan Deng AU - Yuqi Wang AU - Yu Li AU - Bingjie Liu AU - Zixing Huang AU - Dan Cao PY - 2026 JO - Journal for ImmunoTherapy of Cancer DO - 10.1136/jitc-2026-015705 UR - https://doi.org/10.1136/jitc-2026-015705 ER -
APA
Yu, H., Li, X., Cheng, X., Deng, Y., Wang, Y., Li, Y., Liu, B., Huang, Z., & Cao, D. (2026). Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort. Journal for ImmunoTherapy of Cancer. https://doi.org/10.1136/jitc-2026-015705
Source records
- crossref · retrieved 2026-09-26T02:58:33.712Z