Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Xiaonan Shao"'
Autor:
Silu Cui, Wenchong Xin, Fei Wang, Xiaoliang Shao, Xiaonan Shao, Rong Niu, Feifei Zhang, Yunmei Shi, Bao Liu, Weiying Gu, Yuetao Wang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The metabolic tumour area (MTA) was found to be a promising predictor of prostate cancer. However, the role of MTA based on 18F-FDG PET/CT in diffuse large B-cell lymphoma (DLBCL) prognosis remains unclear. This study aimed to elu
Externí odkaz:
https://doaj.org/article/d201584cdc8544a4870ab0f4a203ec0c
Autor:
Yan Sun, Xinyu Ge, Rong Niu, Jianxiong Gao, Yunmei Shi, Xiaoliang Shao, Yuetao Wang, Xiaonan Shao
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Lung cancer is currently the leading cause of cancer-related deaths, and early diagnosis and screening can significantly reduce its mortality rate. Since some early-stage lung cancers lack obvious clinical symptoms and only present as pulmonary nodul
Externí odkaz:
https://doaj.org/article/1f2e6ad73da64bffba9d5ea06ba0b3c5
Autor:
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC). Methods Retrospective da
Externí odkaz:
https://doaj.org/article/eacda03bf80b4cd899c9b73435d7bcea
Autor:
Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Xinyu Ge, Yuetao Wang, Xiaonan Shao
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Background This study aims to construct radiomics models based on [18F]FDG PET/CT using multiple machine learning methods to predict the EGFR mutation status of lung adenocarcinoma and evaluate whether incorporating clinical parameters can i
Externí odkaz:
https://doaj.org/article/ee5fd8fcadd34e44bb00b448a673af17
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of cancer-associated deaths. In recent years, significant progress has been achieved in basic and clinical research concerning the epidermal growth factor receptor (EGF
Externí odkaz:
https://doaj.org/article/9cbee6959cf04001a59ebbf9f19471ab
Autor:
Xiaonan Shao, Rong Niu, Xiaoliang Shao, Jianxiong Gao, Yunmei Shi, Zhenxing Jiang, Yuetao Wang
Publikováno v:
EJNMMI Physics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Purpose This work aims to train, validate, and test a dual-stream three-dimensional convolutional neural network (3D-CNN) based on fluorine 18 (18F)-fluorodeoxyglucose (FDG) PET/CT to distinguish benign lesions and invasive adenocarcinoma (I
Externí odkaz:
https://doaj.org/article/9441fcd5608447b39f27ca47d353e6d6
Publikováno v:
EJNMMI Research, Vol 10, Iss 1, Pp 1-12 (2020)
Abstract Background To establish and validate 18F-fluorodeoxyglucose (18F-FDG) PET/CT-based radiomics model and use it to predict the intermediate-high risk growth patterns in early invasive adenocarcinoma (IAC). Methods Ninety-three ground-glass nod
Externí odkaz:
https://doaj.org/article/cd6d1682b0d54beb9b11140f292b31e4
Publikováno v:
BMC Endocrine Disorders, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Nonalcoholic fatty liver disease (NAFLD) is a multisystem disease that affects the liver and a variety of extra-hepatic organ systems. This study aimed to investigate the relationship between hepatic steatosis and glucose metaboli
Externí odkaz:
https://doaj.org/article/37473bfae04e4fd6b2fbdf5412241e4a
Autor:
Rong Niu, Jianxiong Gao, Xiaoliang Shao, Jianfeng Wang, Zhenxing Jiang, Yunmei Shi, Feifei Zhang, Yuetao Wang, Xiaonan Shao
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
To investigate whether the maximum standardized uptake value (SUVmax) of 18F-deoxyglucose (FDG) PET imaging can increase the diagnostic efficiency of CT radiomics-based prediction model in differentiating benign and malignant pulmonary ground-glass n
Externí odkaz:
https://doaj.org/article/46db388778d14943a5c82f4d3481a9b9
Publikováno v:
BMC Cardiovascular Disorders, Vol 19, Iss 1, Pp 1-8 (2019)
Abstract Background To investigate the early diagnostic and prognostic value of microRNA-1 in patients with acute chest pain. Methods This study enrolled 341 patients attacked by chest pain within 3 h, and another 100 volunteers as control group. Cir
Externí odkaz:
https://doaj.org/article/8462899264b14ae9b486f297377ccdec