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Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：359/44  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：335/60  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 125, 页码: 6
作者:  Fu, Jia;  Fang, Meng-jie;  Dong, Di;  Li, Jian;  Sun, Ying-shi;  Tian, Jie;  Tang, Lei
Adobe PDF(1543Kb)  |  收藏  |  浏览/下载：321/43  |  提交时间：2020/06/02
Gastrointestinal stromal tumor  Prognosis  Magnetic resonance imaging  Texture analysis  
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer 期刊论文
ANNALS OF ONCOLOGY, 2019, 卷号: 30, 期号: 3, 页码: 431-438
作者:  Dong, Di;  Tang, Lei;  Li, Ziyu;  Fang, Mengjie;  Gao, Jianbo;  Shan, Xiuhong;  Ying, Xiangji;  Sun, Yingshi;  Fu, Jia;  Wang, Xiaoxiao;  Li, Liming;  Li, Zhenhui;  Zhang, Dafu;  Zhang, Yan;  Li, Zhemin;  Shan, Fei;  Bu, Zhaode;  Tian, Jie;  Ji, Jiafu
Adobe PDF(593Kb)  |  收藏  |  浏览/下载：488/81  |  提交时间：2019/07/12
occult peritoneal metastasis  radiomic nomogram  advanced gastric cancer