Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Jiaxuan Peng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The occurrence of liver injury during cancer treatment is extremely harmful. The risk factors for drug.induced liver injury (DILI) in the pancreatic cancer population have not been investigated. This study aims to develop and validate an int
Externí odkaz:
https://doaj.org/article/2b3ecdef78854846bca9f8b0561b80b1
Autor:
Jiaxuan Peng, Guangying Zheng, Mengmeng Hu, Zihan Zhang, Zhongyu Yuan, Yuyun Xu, Yuan Shao, Yang Zhang, Xiaojun Sun, Lu Han, Xiaokai Gu, Zhenyu Shu, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Objective To identify white matter fiber injury and network changes that may lead to mild cognitive impairment (MCI) progression, then a joint model was constructed based on neuropsychological scales to predict high-risk individuals for Alzh
Externí odkaz:
https://doaj.org/article/c29530e06b984735b456bb7abd2605d0
Autor:
Congjie Zhang, Zhenyu Shu, Shanshan Chen, Jiaxuan Peng, Yueyue Zhao, Xuan Dai, Jie Li, Xuehan Zou, Jianhua Hu, Haijun Huang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Early assessment and accurate staging of liver fibrosis may be of great help for clinical diagnosis and treatment in patients with chronic hepatitis B (CHB). We aimed to identify serum markers and construct a machine learning (ML) model to r
Externí odkaz:
https://doaj.org/article/94ba9586cba0484ca367d4a303708391
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aimed to develop an optimal radiomics model for preoperatively predicting microsatellite instability (MSI) in patients with rectal cancer (RC) based on multiparametric magnetic resonance imaging. The retrospective study included 3
Externí odkaz:
https://doaj.org/article/b0545ace9ba441c6992f22b1bb4b6fad
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective This study aimed to identify features of white matter network attributes based on diffusion tensor imaging (DTI) that might lead to progression from mild cognitive impairment (MCI) and construct a comprehensive model based on these
Externí odkaz:
https://doaj.org/article/77abd6eb7d4644b38fbe630cf3f7f52a
Autor:
Guangying Zheng, Jie Hou, Zhenyu Shu, Jiaxuan Peng, Lu Han, Zhongyu Yuan, Xiaodong He, Xiangyang Gong
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Non-invasive identification of breast cancer (BCa) patients with pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) is critical to determine appropriate surgical strategies and guide the resection range of
Externí odkaz:
https://doaj.org/article/d4918e2ec902448eac7bab9d8b39f03f
Publikováno v:
Frontiers in Aging Neuroscience, Vol 16 (2024)
ObjectiveVoxel-based morphometry (VBM), surface-based morphometry (SBM), and radiomics are widely used in the field of neuroimage analysis, while it is still unclear that the performance comparison between traditional morphometry and emerging radiomi
Externí odkaz:
https://doaj.org/article/a03baa14f9e246c68004b48dedb6ce06
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background The current study aimed to construct and validate a magnetic resonance imaging (MRI)-based radiomics nomogram to predict tumor protein p53 gene status in rectal cancer patients using machine learning. Methods Clinical and imaging
Externí odkaz:
https://doaj.org/article/5e990a1ac4664c10a968e971a9c21d63
Autor:
Jie Hou, Hui Jin, Yongsheng Zhang, Yuyun Xu, Feng Cui, Xue Qin, Lu Han, Zhongyu Yuan, Guangying Zheng, Jiaxuan Peng, Zhenyu Shu, Xiangyang Gong
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
ObjectiveTo develop and validate a hybrid model incorporating CT-fractional flow reserve (CT-FFR), pericoronary fat attenuation index (pFAI), and radiomics signatures for predicting progression of white matter hyperintensity (WMH).MethodsA total of 2
Externí odkaz:
https://doaj.org/article/da040ee4994243ef84dfe7f40d2679e0
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Objective In this study, we aimed to investigate the predictive efficacy of magnetic resonance imaging (MRI) radiomics features at different time points of neoadjuvant therapy for rectal cancer in patients with pathological complete response
Externí odkaz:
https://doaj.org/article/8135b18b042e4aa5a820776d14c7a7b3