Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Zhao-Xia Yang"'
Autor:
Zhao-Xia Yang, He-Yue Liang, Xin-Xing Hu, Ya-Qin Huang, Ying Ding, Shan Yang, Meng-Su Zeng, Sheng-Xiang Rao
Publikováno v:
Diagnostic and Interventional Radiology, Vol 22, Iss 4, Pp 301-307 (2016)
PURPOSE:We aimed to evaluate whether histogram analysis of susceptibility-weighted imaging (SWI) could quantify liver fibrosis grade in patients with chronic liver disease (CLD).METHODS:Fifty-three patients with CLD who underwent multi-echo SWI (TEs
Externí odkaz:
https://doaj.org/article/2544101e8cc946028ccf08e2453c12e8
Autor:
Xue Peng, Yu-Feng Xiao, Bo Tang, Chang-Jiang Hu, Song He, Chaoqiang Fan, Meng-Meng Jie, Hui Lin, Zhi-Xuan Wu, Qing-Jian Lv, Yuanyuan Zhou, Shi-Ming Yang, Xia Xie, Huan Yang, Zhao-Xia Yang, En Liu, Xiao-Yan Zhao, Jialin He, Anastasios Koulaouzidis, Jian-Ying Bai, Yong-Bing Zhao
Publikováno v:
The Lancet Gastroenterology & Hepatology. 6:914-921
Summary Background The use of magnetically controlled capsules for gastroscopy is in the early stages of clinical adoption. We aimed to evaluate the safety and efficacy of a fully automated magnetically controlled capsule endoscopy (FAMCE) system in
Publikováno v:
RSC Advances. 11:36942-36950
In order to make a preliminary prediction of flavor and retention index (RI) for compounds in beer, this work applied the machine learning method to modeling depending on molecular structure. Towards this goal, the flavor compounds in beer from exist
Publikováno v:
Frontiers in Oncology
Frontiers in Oncology, Vol 11 (2021)
Frontiers in Oncology, Vol 11 (2021)
Peritoneal lymphomatosis is extremely rare and associated with poor prognosis. Most practitioners only pay more attention to peritoneal carcinomatosis. However, peritoneal lymphomatosis can be neglected and misdiagnosed. We report a teenager with 10
Autor:
Li Yang, Sheng-Xiang Rao, Yuan Ji, Wen-Tao Wang, Mengsu Zeng, Xin-Xing Hu, Ying Ding, Zhao-Xia Yang, He-Yue Liang
Publikováno v:
European Journal of Radiology. 113:7-14
To retrospectively evaluate the value of MR features based on Liver Imaging Reporting and Data System (LI-RADS ver.2017) for identifying the status of cytokeratin (CK) 19 expression of HCC before surgery.A total of 201 patients with 207 HCCs who unde
Publikováno v:
Chinese Journal of Academic Radiology. 1:6-12
To explore whether volumetric acquisition of histogram analysis of apparent diffusion coefficient (ADC) maps could quantify liver fibrosis stages. 84 patients underwent MRI exams including DWI before surgery or liver biopsy were included. Histogram a
Autor:
Sheng-Xiang Rao, Yuan Ji, Zhao-Xia Yang, Mengsu Zeng, Xin-Xing Hu, Hui Liu, Xu Yan, He-Yue Liang, Caixia Fu, Ying Ding, Robert Grimm
Publikováno v:
Journal of Magnetic Resonance Imaging. 46:383-392
Purpose To evaluate whether whole-tumor histogram-derived parameters for an apparent diffusion coefficient (ADC) map and contrast-enhanced magnetic resonance imaging (MRI) could aid in assessing Ki-67 labeling index (LI) of hepatocellular carcinoma (
Autor:
Zhao-Xia Yang, Ming-Hua Zhu
Publikováno v:
2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).
In order to improve the dynamic prediction ability of the real-time segment travel time in the traffic information platform, traffic big data can effectively feedback traffic congestion. A real-time link travel time dynamic prediction algorithm based
Autor:
Xin Xing Hu, Shan Yang, Zhao Xia Yang, Ying Ding, He Yue Liang, Meng Su Zeng, Ya Qin Huang, Sheng-Xiang Rao
Publikováno v:
Diagnostic and Interventional Radiology. 22:301-307
Liver fibrosis is the accumulation of extracellular matrix proteins and is a feature of most chronic liver diseases (CLDs) (1). Studies have demonstrated that fibrosis is reversible at early stages (2, 3), and causal treatments improve liver function
Autor:
Mengsu Zeng, Sheng-Xiang Rao, Caixia Fu, Robert Grimm, Zhao-Xia Yang, Li Yang, Ying Ding, Wen-Tao Wang, Xin-Xing Hu, Xu Yan
Publikováno v:
Radiology. 286(2)
Purpose To evaluate the potential role of diffusion kurtosis imaging and conventional magnetic resonance (MR) imaging findings including standard monoexponential model of diffusion-weighted imaging and morphologic features for preoperative prediction