Longitudinal variability of CT imaging features for predicting pulmonary nodule invasiveness: A multicenter study
- DOI
- 10.21147/j.issn.1000-9604.2025.05.10
- Published
- 2025
- Container
- Chinese Journal of Cancer Research
- Publisher
- Chinese Journal of Cancer Research
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21147/j.issn.1000-9604.2025.05.10,
title = {Longitudinal variability of CT imaging features for predicting pulmonary nodule invasiveness: A multicenter study},
author = {Lu Jing and Song Ci and Xu Hai and Fan Jingyi and Liu Kefu and Chen Jie and Kong Junjie and Guo Wen and Ge Xinyuan and Zhang Jiahao and Ma Hongxia and Zhang Qun and Shen Hongbing},
year = {2025},
journal = {Chinese Journal of Cancer Research},
doi = {10.21147/j.issn.1000-9604.2025.05.10},
url = {https://doi.org/10.21147/j.issn.1000-9604.2025.05.10}
}RIS
TY - JOUR TI - Longitudinal variability of CT imaging features for predicting pulmonary nodule invasiveness: A multicenter study AU - Lu Jing AU - Song Ci AU - Xu Hai AU - Fan Jingyi AU - Liu Kefu AU - Chen Jie AU - Kong Junjie AU - Guo Wen AU - Ge Xinyuan AU - Zhang Jiahao AU - Ma Hongxia AU - Zhang Qun AU - Shen Hongbing PY - 2025 JO - Chinese Journal of Cancer Research DO - 10.21147/j.issn.1000-9604.2025.05.10 UR - https://doi.org/10.21147/j.issn.1000-9604.2025.05.10 ER -
APA
Jing, L., Ci, S., Hai, X., Jingyi, F., Kefu, L., Jie, C., Junjie, K., Wen, G., Xinyuan, G., Jiahao, Z., Hongxia, M., Qun, Z., & Hongbing, S. (2025). Longitudinal variability of CT imaging features for predicting pulmonary nodule invasiveness: A multicenter study. Chinese Journal of Cancer Research. https://doi.org/10.21147/j.issn.1000-9604.2025.05.10
Source records
- crossref · retrieved 2026-09-26T15:24:37.814Z