Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Zongyu Xie"'
Autor:
Jian Wang, Meihua Shao, Hongjie Hu, Wenbo Xiao, Guohua Cheng, Guangzhao Yang, Hongli Ji, Susu Yu, Jie Wan, Zongyu Xie, Maosheng Xu
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective The risk category of gastric gastrointestinal stromal tumors (GISTs) are closely related to the surgical method, the scope of resection, and the need for preoperative chemotherapy. We aimed to develop and validate convolutional neu
Externí odkaz:
https://doaj.org/article/6a0f990508324b3a9870770926906025
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background Most of suspicious lesions classified as breast imaging reporting and data system (BI-RADS) 4A and 4B categories on ultrasound (US) were benign, resulting in unnecessary biopsies. MRI has a high sensitivity to detect breast cancer
Externí odkaz:
https://doaj.org/article/5199c044b58c4a0d909ef8703464f3bd
Autor:
Bin Lin, Xiaopei Xu, Zhujing Shen, Peiyu Huang, Yuantong Gao, Jun Liu, Zongyu Xie, Tongtong Zhao, Junli Xia, Jian Lv, Dawei Ren, Hanpeng Zheng, Xiangming Wang, Minghua Hu, Guixiang Ruan, Minming Zhang
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
IntroductionThe emergence of the Omicron variant has seen changes in the clinical and radiological presentations of COVID-19 in pediatric patients. We sought to compare these features between patients infected in the early phase of the pandemic and t
Externí odkaz:
https://doaj.org/article/98193abdfd9e4619884ef83de326533b
Autor:
Hengfeng Shi, Zhihua Xu, Guohua Cheng, Hongli Ji, Linyang He, Juan Zhu, Hanjin Hu, Zongyu Xie, Weiqun Ao, Jian Wang
Publikováno v:
European Journal of Medical Research, Vol 27, Iss 1, Pp 1-12 (2022)
Abstract Background The coronavirus disease 2019 (COVID-19) is a pandemic now, and the severity of COVID-19 determines the management, treatment, and even prognosis. We aim to develop and validate a radiomics nomogram for identifying patients with se
Externí odkaz:
https://doaj.org/article/03e8df0fe4114310aa2d50250cb86458
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
ObjectivesThe purpose of this study was to establish a risk prediction model for differential diagnosis of pheochromocytomas (PCCs) from lipid-poor adenomas (LPAs) using a grouping method based on tri-phasic CT image features.MethodsIn this retrospec
Externí odkaz:
https://doaj.org/article/e563878b12244e8f9ff20911e9e4d800
Autor:
Junjian Shen, Minghui Lin, Mengbin Ding, Ningyue Yu, Chun Yang, Deping Kong, Haitao Sun, Zongyu Xie
Publikováno v:
Materials Today Bio, Vol 16, Iss , Pp 100416- (2022)
Immunotherapy has recently been seen as a hopeful therapeutic device to inhibit tumor growth and metastasis, while the curative efficacy is limited by intrinsic immunosuppressive tumor microenvironment. Herein, we reported a tumor immunosuppressive m
Externí odkaz:
https://doaj.org/article/8416e871def247a4b279067c91898bff
Autor:
Zongyu Xie, Haitao Sun, Jian Wang, He Xu, Shuhua Li, Cancan Zhao, Yuqing Gao, Xiaolei Wang, Tongtong Zhao, Shaofeng Duan, Chunhong Hu, Weiqun Ao
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Convenient and precise assessment of the severity in coronavirus disease 2019 (COVID-19) contributes to the timely patient treatment and prognosis improvement. We aimed to evaluate the ability of CT-based radiomics nomogram in dis
Externí odkaz:
https://doaj.org/article/08007fd1a1b341b1a75f68754f46d919
Autor:
Shuhai Zhang, Xiaolei Wang, Zhao Yang, Yun Zhu, Nannan Zhao, Yang Li, Jie He, Haitao Sun, Zongyu Xie
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeThe aim of this study is to investigate radiomics features extracted from the optimal peritumoral region and the intratumoral area on the early phase of dynamic contrast-enhanced MRI (DCE-MRI) for predicting molecular subtypes of invasive duct
Externí odkaz:
https://doaj.org/article/d2b2da5cbd3a4afd9f7849b1b7881146
Autor:
Huanhuan Liu, Hua Ren, Zengbin Wu, He Xu, Shuhai Zhang, Jinning Li, Liang Hou, Runmin Chi, Hui Zheng, Yanhong Chen, Shaofeng Duan, Huimin Li, Zongyu Xie, Dengbin Wang
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-12 (2021)
Abstract Background Limited data was available for rapid and accurate detection of COVID-19 using CT-based machine learning model. This study aimed to investigate the value of chest CT radiomics for diagnosing COVID-19 pneumonia compared with clinica
Externí odkaz:
https://doaj.org/article/0a4fdb51c4e34110ac6bcce9b361013f
Autor:
Cui Zhang, Guangzhao Yang, Chunxian Cai, Zhihua Xu, Hai Wu, Youmin Guo, Zongyu Xie, Hengfeng Shi, Guohua Cheng, Jian Wang
Publikováno v:
European Journal of Medical Research, Vol 25, Iss 1, Pp 1-10 (2020)
Abstract Background The coronavirus disease 2019 (COVID-19) has brought a global disaster. Quantitative lesions may provide the radiological evidence of the severity of pneumonia and further to assess the effect of comorbidity on patients with COVID-
Externí odkaz:
https://doaj.org/article/3465ad413fd14173835ea7af46dedf13