Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Ai Lian, Liu"'
Autor:
Qi An, Qin-He Zhang, Yue Wang, Han-Yue Zhang, Yu-Hui Liu, Zi-Ting Zhang, Mei-Ling Zhang, Liang-Jie Lin, Hui He, Yi-Fan Yang, Peng Sun, Zhen-Yu Zhou, Qing-Wei Song, Ai-Lian Liu
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
PurposeTo explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.MethodsA total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled
Externí odkaz:
https://doaj.org/article/3bf1a4db95ac46c0aa1b80de26b0cfee
Autor:
Qin-He Zhang, Li-Hua Chen, Qi An, Peng Pi, Yi-Fan Dong, Ying Zhao, Nan Wang, Xin Fang, Ren-Wang Pu, Qing-Wei Song, Liang-Jie Lin, Jing-Hong Liu, Ai-Lian Liu
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
PurposeTo determine the renal sinus fat (RSF) volume and fat fraction (FF) in normal Chinese subjects using MRI fat fraction mapping and to explore their associations with age, gender, body mass index (BMI) and ectopic fat deposition.MethodsA total o
Externí odkaz:
https://doaj.org/article/c9d4df96c89b4a28897c0056aafbff64
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundChronic kidney disease (CKD) is a complex syndrome with high morbidity and slow progression. Early stages of CKD are asymptomatic and lack of awareness at this stage allows CKD to progress through to advanced stages. Early detection of CKD
Externí odkaz:
https://doaj.org/article/6f2af233202047608005e8a81efd8160
Autor:
Xing Meng, Shifeng Tian, Changjun Ma, Liangjie Lin, Xiaoxiao Zhang, Jiazheng Wang, Qingwei Song, Ai Lian Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundTo investigate the value of amide proton transfer weighted (APTw) imaging combined with modified Dixon fat quantification (mDixon-Quant) imaging in determining the degree of differentiation of cervical squamous carcinoma (CSC) against histo
Externí odkaz:
https://doaj.org/article/541ef1d559e840e9a26981a4bf53021c
Autor:
Qin-He Zhang, Lu-Han Xie, Hao-Nan Zhang, Jing-Hong Liu, Ying Zhao, Li-Hua Chen, Ye Ju, An-Liang Chen, Nan Wang, Qing-Wei Song, Li-Zhi Xie, Ai-Lian Liu
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
PurposeEctopic fat accumulation and abdominal fat distribution may have different cardiometabolic risk profiles. This study aimed to assess the associations between various magnetic resonance imaging (MRI)-acquired fat depots and cardiometabolic risk
Externí odkaz:
https://doaj.org/article/0690194d0b2a452ba0cbf9c0374bfcea
Autor:
Ying Zhao, Nan Wang, Jingjun Wu, Qinhe Zhang, Tao Lin, Yu Yao, Zhebin Chen, Man Wang, Liuji Sheng, Jinghong Liu, Qingwei Song, Feng Wang, Xiangbo An, Yan Guo, Xin Li, Tingfan Wu, Ai Lian Liu
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposeTo investigate the role of contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics for pretherapeutic prediction of the response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC).MethodsOne hundr
Externí odkaz:
https://doaj.org/article/41fb549f1abc4f2b861f4fc22552fec4
Publikováno v:
Chinese Medical Journal, Vol 128, Iss 5, Pp 610-614 (2015)
Objective: The objective was to qualitatively and quantitatively evaluate hepatic metastases using computed tomography (CT) virtual noncontrast (VNC) spectral imaging in a retrospective analysis. Methods: Forty hepatic metastases patients underwent
Externí odkaz:
https://doaj.org/article/e62e86bc2d3445c9b27544c0bac0e48d
Publikováno v:
Chinese Medical Journal, Vol 131, Iss 23, Pp 2897-2898 (2018)
Externí odkaz:
https://doaj.org/article/7a4d768148034c61b7fda3da179befa4
Publikováno v:
Industrial Crops and Products. 195:116450
Autor:
Qin-He Zhang, Ye Li, Lu-Han Xie, Xue Ren, Ying Zhao, Nan Wang, Li-Hua Chen, Ye Ju, Yi-Jun Liu, Li-Zhi Xie, Liang-jie Lin, Ai-Lian Liu
Publikováno v:
Angiology.
Radiodensity measured by computed tomography (CT) in Hounsfield Units (HU) is emerging as a clinical tool for detecting perivascular adipose tissue (PVAT) inflammation. In the present study, we hypothesized that PVAT radiodensity might predict the ri