Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruikun Liao"'
Autor:
Xu Cao, Duo Tan, Zhi Liu, Meng Liao, Yubo Kan, Rui Yao, Liqiang Zhang, Lisha Nie, Ruikun Liao, Shanxiong Chen, Mingguo Xie
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract This study aimed to explore the ability of radiomics derived from both MRI and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET) images to differentiate glioblastoma (GBM) from solitary brain metastases (SBM) and to investiga
Externí odkaz:
https://doaj.org/article/c30730b94e314f289c9f73e68c83ec93
Autor:
Dan Zhang, Xiaojiao Li, Liang Lv, Jiayi Yu, Chao Yang, Hua Xiong, Ruikun Liao, Bi Zhou, Xianlong Huang, Xiaoshuang Liu, Zhuoyue Tang
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Our study aims to develop and validate diagnostic models of the common parotid tumors based on whole-volume CT textural image biomarkers (IBMs) in combination with clinical parameters at a single institution. Methods The study coh
Externí odkaz:
https://doaj.org/article/45aa5f75c9504d1190807e3fe250b96b
Autor:
Ruikun Liao, Zhuoyue Tang, Xiaojiao Li, Liang Lv, Chao Yang, Hua Xiong, Bi Zhou, Jiayi Yu, Dan Zhang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposesThe purpose of this study was to explore the diagnostic performance of Cho peak area (Cho Are), Cho peak amplitude (Cho Amp), and the combined approach (Cho Are_Amp) in detecting rabbit VX2 liver cancer at the early stage via hydrogen-1 proto
Externí odkaz:
https://doaj.org/article/bd2215dbdbee40b49239555740ef0d22
Autor:
Ruikun Liao, Dan Zhang, Xiaojiao Li, Jiang Ma, Jiayi Yu, Chao Yang, Hua Xiong, Bi Zhou, Xianlong Huang, Zhuoyue Tang MD, PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 20 (2021)
Background: To investigate the diagnostic efficacy of choline (Cho) value of magnetic resonance spectroscopy (MRS) in rabbit with VX2 liver tumor via comparative and quantitative analysis with the choline compounds concentration measured by enzyme li
Externí odkaz:
https://doaj.org/article/2a33464c4b5c48fca634f02c38ddd641
Autor:
Liqiang Zhang, Rui Yao, Jueni Gao, Duo Tan, Xinyi Yang, Ming Wen, Jie Wang, Xiangxian Xie, Ruikun Liao, Yao Tang, Shanxiong Chen, Yongmei Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundThe effectiveness of conventional MRI (cMRI)-based radiomics in differentiating glioblastoma (GBM) from solitary brain metastases (SBM) is not satisfactory enough. Therefore, we aimed to develop an integrated radiomics model to improve the
Externí odkaz:
https://doaj.org/article/4ac365ffaf864688a7099990ad8c6170
Publikováno v:
International Journal of Endorsing Health Science Research, Vol 5, Iss 2, Pp 1-7 (2017)
Background: To identify the CT features of anterior mediastinal thymoma and lymphoma and evaluate CT findings that may help in suggesting specific diagnosis among these tumors. Method: A total of fifty-eight chest CT scan studies with pathological di
Externí odkaz:
https://doaj.org/article/9a855303491d4899b4eb1bca18657f02
Autor:
Bi Zhou, Zhuoyue Tang, Xianlong Huang, Hongzhang Zhu, Xiaojiao Li, Hua Xiong, Jiayi Yu, Ruikun Liao, Dan Zhang
Publikováno v:
Acta cardiologica.
All the previous subtraction coronary CT angiography (CCTA) had strict heart rate (HR) inclusion criteria. In this study, a new subtraction method was applied to patients with various HR. The post-contrast scan time was respectively 3.5 s after ascen
A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland
Autor:
Bi Zhou, Dan Zhang, Zhuoyue Tang, Jiayi Yu, Xianlong Huang, Xiaoshuang Liu, Liang Lv, Hua Xiong, Chao Yang, Ruikun Liao, Xiaojiao Li
Publikováno v:
Cancer Management and Research. 12:2665-2674
Objective The aim of this study was to explore and validate the diagnostic performance of whole-volume CT texture features in differentiating the common benign and malignant epithelial tumors of the parotid gland. Materials and methods Contrast-enhan
Autor:
Xu Cao, Duo Tan, Zhi Liu, Meng Liao, Yubo Kan, Rui Yao, Liqiang Zhang, Lisha Nie, Ruikun Liao, Shanxiong Chen, Mingguo Xie
Publikováno v:
Scientific reports. 12(1)
This study aimed to explore the ability of radiomics derived from both MRI and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET) images to differentiate glioblastoma (GBM) from solitary brain metastases (SBM) and to investigate the co
Autor:
Shanxiong Chen, Xiangxian Xie, Jie Wang, Rui Yao, Yongmei Li, Liqiang Zhang, Ruikun Liao, Ming Wen, Yao Tang, Xinyi Yang, Jueni Gao, Duo Tan
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundThe effectiveness of conventional MRI (cMRI)-based radiomics in differentiating glioblastoma (GBM) from solitary brain metastases (SBM) is not satisfactory enough. Therefore, we aimed to develop an integrated radiomics model to improve the