Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Yaqi SHEN"'
Autor:
Ziman Xiong, Yan Zhang, Peili Wu, Jun Chen, Yaqi Shen, Ihab Kamel, Xianying Zheng, Bing Wu, Zhen Li
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Delayed diagnosis of inflammatory bowel disease (IBD) is common, there is still no effective imaging system to distinguish Crohn's Disease (CD) and Ulcerative Colitis (UC) patients. Methods This multicenter retrospective study inc
Externí odkaz:
https://doaj.org/article/c9a9c4d292f049a68de818201cab0bc3
Autor:
Yuchen Jiang, Yuanqiu Li, Ziman Xiong, John N. Morelli, Yaqi Shen, Xuemei Hu, Daoyu Hu, Zhen Li
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives The purpose of this study is to assess the diagnostic efficacy of contrast-enhanced CT scans for small bowel bleeding. Methods This retrospective study evaluated patients diagnosed with non-neoplastic small intestinal bleeding (in
Externí odkaz:
https://doaj.org/article/27cb47774dcb4f8998e1a2e7b7bb948a
Autor:
Ziman Xiong, Peili Wu, Yan Zhang, Jun Chen, Yaqi Shen, Ihab Kamel, Bing Wu, Xianying Zheng, Zhen Li
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To achieve automated quantification of visceral adipose tissue (VAT) distribution in CT images and screen out parameters with discriminative value for inflammatory bowel disease (IBD) subtypes. Methods This retrospective multicent
Externí odkaz:
https://doaj.org/article/6de20f9ae8a3463ab380fe41a761e651
Autor:
Ziman Xiong, Yan Zhang, Peili Wu, Jun Chen, Yaqi Shen, Ihab Kamel, Xianying Zheng, Bing Wu, Zhen Li
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/0f225aa3a3a0427a9ff6b4a8c126ad61
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Objectives To explore the association between computed tomography (CT)-measured sex-specific abdominal adipose tissue and the pathological grade of clear cell renal cell carcinoma (ccRCC). Methods This retrospective study comprised 560 patie
Externí odkaz:
https://doaj.org/article/475732fef08b47e8b157a1584b817fc5
Publikováno v:
IET Renewable Power Generation, Vol 17, Iss 13, Pp 3325-3339 (2023)
Abstract In order to reveal the multi‐DFIGs interaction mechanism in DFIG wind farms (DFIG‐WFs), this paper proposes a method based on dynamic energy flow path for stability analysis of sub‐synchronous oscillations in multi‐DFIGs connected sy
Externí odkaz:
https://doaj.org/article/331a9da786874110aa15baf3c2e88967
Publikováno v:
Management System Engineering, Vol 2, Iss 1, Pp 1-10 (2023)
Abstract Tourism industry has become a breakthrough point for China’s economic growth. As of 2019, the tourism economy has been maintaining a faster growth than the GDP growth rate, the entry and exit market has been developing steadily, the struct
Externí odkaz:
https://doaj.org/article/d9785d3c1e374997874d56c25ba5e657
Autor:
Wenpei WANG, Yueping YIN, Lichao WANG, Yaqi SHEN, Pengqing SHI, Ruidong LI, Qing HE, Liang CHEN, Baoguo YIN
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 2, Pp 73-83 (2023)
On one hand, anti-slide shaft technology can overcome the problems of blocking the seepage and drainage path in the slope by traditional anti-slide piles. On the other hand, it can reduce the excavation quantities when the vertical drainage and anti
Externí odkaz:
https://doaj.org/article/9174f03e5a914e0db2aad30d118091f4
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Key points Radiomics features extracted from sagittal rFOV DWI were valuable in staging CC. Clinical factors including age and menopausal status were important predictors in staging CC. The clinical–radiomics model combining rFOV DWI-derived radiom
Externí odkaz:
https://doaj.org/article/e5c673e7e0374d379fb5229a83451fce
Autor:
Guanjie Yuan, Shichao Li, Ping Liang, Gen Chen, Yan Luo, Yaqi Shen, Xuemei Hu, Daoyu Hu, Jiali Li, Zhen Li
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract Objectives To evaluate the association between adipose tissue distribution and early allograft dysfunction (EAD) in liver transplantation (LT) recipients. Methods A total of 175 patients who received LT from April 2015 to September 2020 were
Externí odkaz:
https://doaj.org/article/b8f94e24d6e14d98b207589b9f120c3e