Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Hua-dan Xue"'
Autor:
Zhi-Lin Yuan, Jing Ren, Meng-Lin Huang, Ya-Fei Qi, Xin Gao, Yi-Ying Sun, Yong-Lan He, Lan Zhu, Hua-Dan Xue
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To develop an innovative magnetic resonance imaging (MRI)-based PUMCH (Peking Union Medical College Hospital) classification system aimed at standardising the diagnosis of congenital cervical malformations (CCMs) by identifying th
Externí odkaz:
https://doaj.org/article/c4e05791b2974fd295ccfd2ce154621c
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Objectives We aimed to present the state of the art of CT- and MRI-based radiomics in the context of ovarian cancer (OC), with a focus on the methodological quality of these studies and the clinical utility of these proposed radiomics models
Externí odkaz:
https://doaj.org/article/d4bc642efa9245d1b60fb4557f1a5187
Autor:
Jing Ren, Yuan Li, Fei-Shi Liu, Chong Liu, Jin-Xia Zhu, Marcel Dominik Nickel, Xiao-Ye Wang, Xin-Yu Liu, Jia Zhao, Yong-Lan He, Zheng-Yu Jin, Hua-Dan Xue
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-11 (2022)
Key points T2DL resulted in a 62.7% reduction in acquisition time compared to T2S T2DL can provide higher SNR and CNR, and without geometric distortion T2DL is feasible for reducing the motion-induced blurring and improving image quality
Externí odkaz:
https://doaj.org/article/4d79fbaaaa7a4cf094abbcc50ef52cdf
Autor:
Jing Ren, Yuan Li, Jun-Jun Yang, Jia Zhao, Yang Xiang, Chen Xia, Ying Cao, Bo Chen, Hui Guan, Ya-Fei Qi, Wen Tang, Kuan Chen, Yong-Lan He, Zheng-Yu Jin, Hua-Dan Xue
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-11 (2022)
Abstract Background The depth of cervical stromal invasion is one of the important prognostic factors affecting decision-making for early stage cervical cancer (CC). This study aimed to develop and validate a T2-weighted imaging (T2WI)-based radiomic
Externí odkaz:
https://doaj.org/article/8b2cf044c3734577893d315243c9240c
Autor:
Juan Li, Yu-hong Wang, Fu-ling Zheng, Xin-yue Chen, Yun Lin, Cai-rong Zhu, Yi-fan Wu, Qiang Xu, Zheng-yu Jin, Hua-dan Xue
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-11 (2021)
Abstract Objectives The least amount of contrast medium (CM) should be used under the premise of adequate diagnosis. The purpose of this study is to evaluate the feasibility of utilizing ultra-low-dose (224 mgI/kg) CM for pancreatic artery depiction
Externí odkaz:
https://doaj.org/article/648a2fe412b6476d8f2b2966730a8d96
Autor:
Da Zhang, Lin Lu, Hui-Juan Zhu, Yu Xiao, Xian-Lin Han, Shun-Da Du, Hua-Dan Xue, Qing-Xing Liu, Zhao-Hui Zhu, Ming-Ming Hu, Xiao Zhai, Xiao-Ping Xing, Zhao-Lin Lu
Publikováno v:
International Journal of Endocrinology, Vol 2022 (2022)
Objectives. To analyze and summarize the effect of SSA treatment on EAS due to p-NETs (EAS-p-NETs). Methods. Thirteen patients with EAS-p-NETs treated with SSAs at our center or described in the literature were included in this study. Clinical charac
Externí odkaz:
https://doaj.org/article/4af07185acd04753a2f2bd4e3874a349
Publikováno v:
Chinese Medical Journal, Vol 129, Iss 17, Pp 2131-2133 (2016)
Externí odkaz:
https://doaj.org/article/d362c06efc7f480dba2b299852249b58
Autor:
Yuan Li, Jing Ren, Jun-Jun Yang, Ying Cao, Chen Xia, Elaine Y. P. Lee, Bo Chen, Hui Guan, Ya-Fei Qi, Xin Gao, Wen Tang, Kuan Chen, Zheng-Yu Jin, Yong-Lan He, Yang Xiang, Hua-Dan Xue
Publikováno v:
European Radiology. 32:3985-3995
To develop and validate a clinical-radiomics model that incorporates radiomics signatures and pretreatment clinicopathological parameters to identify multimodality therapy candidates among patients with early-stage cervical cancer.Between January 201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d87a0165778f39f4bcef455e074bea
https://doi.org/10.1007/s00330-021-08463-y
https://doi.org/10.1007/s00330-021-08463-y
Publikováno v:
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae. 44(4)
Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of contrast-enhanced CT images of the biliary system by comparing it with different iterative reconstruction algorithms including the adaptive iterative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0fdab6d9babb94db2dd2a96e4e82f44c
https://pubmed.ncbi.nlm.nih.gov/36065694
https://pubmed.ncbi.nlm.nih.gov/36065694
Autor:
Wei Song, Xuan Wang, Ling Yuan, Hua-dan Xue, Jin Zhengyu, HaiHong Fu, JunPing Tian, Yan Zhang, YiNing Wang, Yu Chen, SiHang Cheng, Hao Sun, Jie Pan, ZhuHua Zhang, Wei Liu, Liang Zhu, Tong Su, FengDan Wang, Hui You, Yan Yi, Feng Feng, Yonglan He, ZhiWei Wang, Xiao Li
Publikováno v:
SCIENTIA SINICA Vitae. 51:1130-1139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8b5648cdd9f3bbef4eed7b1d641b17c
https://doi.org/10.1360/ssv-2021-0296
https://doi.org/10.1360/ssv-2021-0296