Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Qiaowei Song"'
1
Akademický článek
A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer
Autor: Xiaowei Xing, Dongxue Li, Jiaxuan Peng, Zhenyu Shu, Yang Zhang, Qiaowei Song
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
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2
Akademický článek
Predicting Alzheimer’s progression in MCI: a DTI-based white matter network model
Autor: Qiaowei Song, Jiaxuan Peng, Zhenyu Shu, Yuyun Xu, Yuan Shao, Wen Yu, Liang Yu
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
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3
Akademický článek
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning
Autor: Xia Zhong, Jiaxuan Peng, Zhenyu Shu, Qiaowei Song, Dongxue Li
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
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4
Akademický článek
Hippocampus Radiomic Biomarkers for the Diagnosis of Amnestic Mild Cognitive Impairment: A Machine Learning Method
Autor: Qi Feng, Qiaowei Song, Mei Wang, PeiPei Pang, Zhengluan Liao, Hongyang Jiang, Dinggang Shen, Zhongxiang Ding
Publikováno v: Frontiers in Aging Neuroscience, Vol 11 (2019)
Background: Recent evidence suggests the presence of hippocampal neuroanatomical abnormalities in subjects of amnestic mild cognitive impairment (aMCI). Our study aimed to identify the radiomic biomarkers of the hippocampus for building the classific
Externí odkaz: https://doaj.org/article/29b27bb98ef942c6b0d84d5e09b49a34
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5
Akademický článek
Correlation Between Hippocampus MRI Radiomic Features and Resting-State Intrahippocampal Functional Connectivity in Alzheimer’s Disease
Autor: Qi Feng, Mei Wang, Qiaowei Song, Zhengwang Wu, Hongyang Jiang, Peipei Pang, Zhengluan Liao, Enyan Yu, Zhongxiang Ding
Publikováno v: Frontiers in Neuroscience, Vol 13 (2019)
Alzheimer’s disease (AD) is a neurodegenerative disease with main symptoms of chronic primary memory loss and cognitive impairment. The study aim was to investigate the correlation between intrahippocampal functional connectivity (FC) and MRI radio
Externí odkaz: https://doaj.org/article/e3865ada5ce147e98c819a3e857cba8e
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7
Development and validation of a combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer
Autor: Dongxue Li, Jiaxuan Peng, Zhenyu Shu, Yang Zhang, Qiaowei Song
Purpose To develop and validate an optimal radiomics model for preoperatively predicting microsatellite instability (MSI) in patients with rectal cancer (RC) based on multiparametric magnetic resonance imaging. Methods The retrospective study include
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b252d84e7cbad53875f8627f6ec2f5d6
https://doi.org/10.21203/rs.3.rs-2920793/v1
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9
Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer
Autor: Yuyun Xu, Yang Zhang, Pei-Pei Pang, Dewang Mao, Zhenyu Shu, Qiaowei Song
Publikováno v: European Radiology. 32:1002-1013
To compare multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion (EMVI) in rectal cancer using different machine learning algorithms and to develop and validate the best diagnostic model. We retrospectively anal
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c4100b9b5e7285320fb4c63e146274
https://doi.org/10.1007/s00330-021-08242-9
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10
Comprehensive classification models based on amygdala radiomic features for Alzheimer's disease and mild cognitive impairment
Autor: Hongyang Jiang, Zhengluan Liao, Luoyu Wang, Peipei Pang, Zhongxiang Ding, Jialing Niu, Qi Feng, Mei Wang, Qiaowei Song
Publikováno v: Brain imaging and behavior. 15(5)
The amygdala is an important part of the medial temporal lobe and plays a pivotal role in the emotional and cognitive function. The aim of this study was to build and validate comprehensive classification models based on amygdala radiomic features fo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60069ce4af0268d20926eb597e748249
https://pubmed.ncbi.nlm.nih.gov/33537928
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