Zobrazeno 1 - 10 of 22 pro vyhledávání: '"Panli Zuo"'
1
Akademický článek
Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT
Autor: Jing Ning, Can Li, Peng Yu, Jingjing Cui, Xiaodan Xu, Yan Jia, Panli Zuo, Jiahe Tian, Lukas Kenner, Baixuan Xu
Publikováno v: Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Purpose To investigate the clinical value of radiomic analysis on [18F]FDG and [18F]FLT PET on the differentiation of [18F]FDG-avid benign and malignant pulmonary nodules (PNs). Methods Data of 113 patients with inconclusive PNs based on pre
Externí odkaz: https://doaj.org/article/cd2e3ff0754d4614b9219387e486d5fa
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2
Akademický článek
Synaptotagmin-11 is a critical mediator of parkin-linked neurotoxicity and Parkinson’s disease-like pathology
Autor: Changhe Wang, Xinjiang Kang, Li Zhou, Zuying Chai, Qihui Wu, Rong Huang, Huadong Xu, Meiqin Hu, Xiaoxuan Sun, Suhua Sun, Jie Li, Ruiying Jiao, Panli Zuo, Lianghong Zheng, Zhenyu Yue, Zhuan Zhou
Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
Mutations in the parkin, an ubiquitin ligase, are linked to Parkinson’s disease. Here the authors show that synaptotagmin-11 is a parkin substrate and that its upregulation affects dopamine release, triggers degeneration, and causes motor impairmen
Externí odkaz: https://doaj.org/article/69b97946de444a3499ffefdcfb3fdb59
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3
Akademický článek
Comparisons of slice-encoding metal artifact correction and view-angle tilting magnetic resonance imaging and traditional digital radiography in evaluating chronic hip pain after total hip arthroplasty
Autor: Yimin Ma, Panli Zuo, Mathias Nittka, Xiaoguang Cheng, Hongyi Shao, Chen Wang
Publikováno v: Journal of Orthopaedic Translation, Vol 12, Iss C, Pp 45-54 (2018)
Purpose: The aims of this study were (1) to compare the areas of metal-induced artifacts and definition of periprosthetic structures between patients scanned with the slice-encoding metal artifact correction and view-angle tilting (SEMAC-VAT) turbo-s
Externí odkaz: https://doaj.org/article/8aa4920598df45e18b3eddbeafbe9c2f
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8
Quantitative measurement of cartilage volume with automatic cartilage segmentation in knee osteoarthritis
Autor: Esther Raithel, Zhuoli Zhang, Jing Li, Wei Chen, Bing Xie, Yuan Ou, Panli Zuo, Lian Li, Xuanqi Xiong, Xiaoyue Zhou, Jun Zhao, Rui He, Mingshan Du, Wenjing Hou
Publikováno v: Clinical Rheumatology. 40:1997-2006
To determine the reproducibility of the automatic cartilage segmentation method using a prototype KneeCaP software (version 1.3; Siemens Healthcare, Erlangen, Germany) and to compare the difference in cartilage volume (CV) between the normal knee joi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca3abee147034bceb3038ce9f28aa9a
https://doi.org/10.1007/s10067-020-05388-7
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9
The value of
Autor: Jie, Ma, Dong, Guo, Wenjie, Miao, Yangyang, Wang, Lei, Yan, Fengyu, Wu, Chuantao, Zhang, Ran, Zhang, Panli, Zuo, Guangjie, Yang, Zhenguang, Wang
Publikováno v: Abdominal radiology (New York). 47(4)
Perineural invasion (PNI) has been recognized as an important prognosis factor in patients with colorectal cancer (CRC). The purpose of this retrospective study was to investigate the value ofA total of 131 patients with non-metastatic CRC who underg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::c7e020a951ab90bf9fc1446493c033d6
https://pubmed.ncbi.nlm.nih.gov/35218381
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10
Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration
Autor: Panpan Li, Ran Zhang, Houying Li, Rui Wu, Panli Zuo, Aiyin Li, Gesheng Song
Publikováno v: Magma (New York, N.Y.). 34(5)
To propose multiparametric MRI-based machine learning models and assess their ability to preoperatively predict rectal adenoma with canceration. A total of 53 patients with postoperative pathology confirming rectal adenoma (n = 29) and adenoma with c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bacbe60a69f61f6b714050a495884643
https://pubmed.ncbi.nlm.nih.gov/33646452
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