CASIA OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Intraoperative near-infrared fluorescence imaging can identify pelvic nerves in patients with cervical cancer in real time during radical hysterectomy 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 9
作者:  He, Kunshan;  Li, Pengfei;  Zhang, Zeyu;  Liu, Jiaqi;  Liu, Pan;  Gong, Shipeng;  Chi, Chongwei;  Liu, Ping;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载:215/0  |  提交时间:2022/06/06
Near-infrared fluorescence imaging  Indocyanine green  Pelvic nerves  Radical hysterectomy  Cervical cancer  
Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying;  Fang, Jin;  Qian, Wei;  Liu, Zhenyu;  Sun, Kai;  Jin, Yan;  Ma, He;  Tian, Jie
收藏  |  浏览/下载:258/0  |  提交时间:2020/09/07
Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 9
作者:  Wang, Tao;  Gao, Tingting;  Guo, Hua;  Wang, Yubo;  Zhou, Xiaobo;  Tian, Jie;  Huang, Liyu;  Zhang, Ming
收藏  |  浏览/下载:233/0  |  提交时间:2020/04/07
Cervical cancer  Parametrial invasion  Nomogram  Magnetic resonance imaging  
Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 10
作者:  Tian, Xin;  Sun, Caixia;  Liu, Zhenyu;  Li, Weili;  Duan, Hui;  Wang, Lu;  Fan, Huijian;  Li, Mingwei;  Li, Pengfei;  Wang, Lihui;  Liu, Ping;  Tian, Jie;  Chen, Chunlin
收藏  |  浏览/下载:266/0  |  提交时间:2020/04/07
locally advanced cervical cancer (LACC)  radiomics  neoadjuvant chemotherapy  response prediction  CT  
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 5, 页码: 2284-2292
作者:  Fang, Jin;  Zhang, Bin;  Wang, Shuo;  Jin, Yan;  Wang, Fei;  Ding, Yingying;  Chen, Qiuying;  Chen, Liting;  Li, Yueyue;  Li, Minmin;  Chen, Zhuozhi;  Liu, Lizhi;  Liu, Zhenyu;  Tian, Jie;  Zhang, Shuixing
收藏  |  浏览/下载:308/0  |  提交时间:2020/03/30
cervical cancer  magnetic resonance imaging  radiomics  disease-free survival  
MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 卷号: 49, 期号: 5, 页码: 1420-1426
作者:  Li, Zhicong;  Li, Hailin;  Wang, Shiyu;  Dong, Di;  Yin, Fangfang;  Chen, An;  Wang, Siwen;  Zhao, Guangming;  Fang, Mengjie;  Tian, Jie;  Wu, Sufang;  Wang, Han
浏览  |  Adobe PDF(377Kb)  |  收藏  |  浏览/下载:325/46  |  提交时间:2019/07/12
radiomics nomogram  cervical cancer  lymph-vascular space invasion  MRI  prediction model  
Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 114, 页码: 128-135
作者:  Wang, Tao;  Gao, Tingting;  Yang, Jingbo;  Yan, Xuejiao;  Wang, Yubo;  Zhou, Xiaobo;  Tian, Jie;  Huang, Liyu;  Zhang, Ming
收藏  |  浏览/下载:274/0  |  提交时间:2019/07/12
Cervical cancer  Lymph nodes  Nomograms  Magnetic resonance imaging  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载:385/91  |  提交时间:2019/04/30
Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 卷号: 49, 期号: 1, 页码: 304-310
作者:  Kan, Yangyang;  Dong, Di;  Zhang, Yuchen;  Jiang, Wenyan;  Zhao, Nannan;  Han, Lu;  Fang, Mengjie;  Zang, Yali;  Hu, Chaoen;  Tian, Jie;  Li, Chunming;  Luo, Yahong
浏览  |  Adobe PDF(333Kb)  |  收藏  |  浏览/下载:377/82  |  提交时间:2019/07/12
Early-Stage Cervical Cancer