Non-invasive prediction of invasive lung adenocarcinoma and high-risk histopathological characteristics in resectable early-stage adenocarcinoma by [18F]FDG PET/CT radiomics-based machine learning models: a prospective cohort study
利用[18F]FDG PET/CT放射组学机器学习模型对可切除早期肺腺癌中的侵袭性肺腺癌和高危组织病理学特征进行无创预测：一项前瞻性队列研究
期刊:International Journal of Surgery
影响因子:10.1
doi:10.1097/JS9.0000000000003464
Cao, Xinghui; Lv, Zhilei; Li, Yan; Li, Minglei; Hu, Yuanyang; Liang, Mengyuan; Deng, Jingjing; Tan, Xueyun; Wang, Sufei; Geng, Wei; Xu, Juanjuan; Luo, Ping; Zhou, Mei; Xiao, Wenjing; Guo, Mengfei; Liu, Jiatong; Huang, Qi; Hu, Shengqing; Sun, Yice; Lan, Xiaoli; Jin, Yang
