检索结果-南通市图书馆

A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson’s disease: a brain radiomics study

引用

Neural Regeneration Research 2022年第12期17卷 2743-2749页

作者： Xiao-Jun Guan Tao Guo Cheng Zhou Ting Gao Jing-Jing Wu Victor Han Steven Cao Hong-Jiang Wei Yu-Yao Zhang Min Xuan Quan-Quan Gu Pei-Yu Huang Chun-Lei Liu Jia-Li Pu Bao-Rong Zhang Feng Cui Xiao-Jun Xu Min-Ming Zhang Department of Radiology the Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang ProvinceChina Department of Neurology the Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang ProvinceChina Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCAUSA Institute for Medical imaging Technology School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina School of Information Science and Technology ShanghaiTech UniversityShanghaiChina Helen Wills Neuroscience Institute University of CaliforniaBerkeleyCAUSA Department of Radiology Hangzhou Hospital of Traditional Chinese MedicineHangzhouZhejiang ProvinceChina

Brain radiomics can reflect the characteristics of brain pathophysiology.However,the value of T1-weighted images,quantitative susceptibility mapping,and R2*mapping in the diagnosis of Parkinson’s disease(PD)was underestimated in previous studies.In this prospective study to establish a model for PD diagnosis based on brain imaging information,we collected high-resolution T1-weighted images,R2*mapping,and quantitative susceptibility imaging data from 171 patients with PD and 179 healthy controls recruited from August 2014 to August 2019.According to the inclusion time,123 PD patients and 121 healthy controls were assigned to train the diagnostic model,while the remaining 106 subjects were assigned to the external validation dataset.We extracted 1408 radiomics features,and then used data-driven feature selection to identify informative features that were significant for discriminating patients with PD from normal controls on the training dataset.The informative features so identified were then used to construct a diagnostic model for PD.The constructed model contained 36 informative radiomics features,mainly representing abnormal subcortical iron distribution(especially in the substantia nigra),structural disorganization(e.g.,in the inferior temporal,paracentral,precuneus,insula,and precentral gyri),and texture misalignment in the subcortical nuclei(e.g.,caudate,globus pallidus,and thalamus).The predictive accuracy of the established model was 81.1±8.0%in the training dataset.On the external validation dataset,the established model showed predictive accuracy of 78.5±2.1%.In the tests of identifying early and drug-naïve PD patients from healthy controls,the accuracies of the model constructed on the same 36 informative features were 80.3±7.1%and 79.1±6.5%,respectively,while the accuracies were 80.4±6.3%and 82.9±5.8%for diagnosing middle-to-late PD and those receiving drug management,respectively.The accuracies for predicting tremor-dominant and non-tremor-dominant PD were 79.8±6.9%and 79.1±6.5%,respectively.In concl

关键词： diagnosis imaging biomarker iron magnetic resonance imaging neuroimaging Parkinson’s disease quantitative susceptibility mapping R2*mapping radiomics T1-weighted imaging

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

MRI in liver cirrhosis

引用

Portal Hypertension & Cirrhosis 2022年第1期1卷 23-41页

作者： Osama Alzoubi Ahmad Arar Viraj Singh Sukru M.Erturk Ferenc Mozes Michael Pavlides School of Medicine The University of JordanAmmanJordan School of Public Health Texas A&M UniversityCollege StationTexasUSA Department of Radiology Faculty of MedicineIstanbul UniversityIstanbulTurkey Radcliffe Department of Medicine University of OxfordOxfordUK Translational Gastroenterology Unit University of OxfordOxfordUK Oxford NIHR Biomedical Research Centre University of OxfordOxfordUK

Liver magnetic resonance imaging(MRI)has seen a massive increase in its use over the last decades.Since its first description in the early 1980s,contrast‐enhanced MRI is now the gold standard for the diagnosis of hepatocellular cancer in patients with liver cirrhosis.Techniques like magnetic resonance(MR)elastography and combinations of multiple MR parameters in single scanning protocols are now available and these are opening new possibilities for the assessment of multiple aspects of disease in patients with liver cirrhosis.In this narrative review,we provide an overview of the use of MRI in patients with cirrhosis for the diagnosis of and screening for liver cancer,for the diagnosis of cirrhosis and prediction of long‐term outcomes,and for the evaluation of portal hypertension.With the multitude of techniques now available and the number of cirrhosis aspects that can be assessed by single scans make the study and application of MRI an attractive target in the search for a technique for use in this group of patients that often have to attend for multiple appointments and multiple tests,including invasive investigations.

关键词： hepatocellular cancer imaging biomarker liver cirrhosis Liver MultiScan MR elastography portal hypertension

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Robustness of radiomic features in magnetic resonance imaging: review and a phantom study

引用

Visual Computing for Industry,Biomedicine,and Art 2019年第1期2卷 176-191页

作者： Renee Cattell Shenglan Chen Chuan Huang Department of Biomedical Engineering Stony Brook UniversityStony BrookNY 11794USA Department of Radiology Stony Brook MedicineStony BrookNY 11794USA Department of Psychiatry Stony Brook MedicineStony BrookNY 11794USA

Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image.These imaging biomarkers can aid in the generation of prediction models aimed to further personalized medicine.However,the generalizability of the model is dependent on the robustness of these features.The purpose of this study is to review the current literature regarding robustness of radiomic features on magnetic resonance imaging.Additionally,a phantom study is performed to systematically evaluate the behavior of radiomic features under various conditions(signal to noise ratio,region of interest delineation,voxel size change and normalization methods)using intraclass correlation coefficients.The features extracted in this phantom study include first order,shape,gray level cooccurrence matrix and gray level run length matrix.Many features are found to be non-robust to changing parameters.Feature robustness assessment prior to feature selection,especially in the case of combining multi-institutional data,may be warranted.Further investigation is needed in this area of research.

关键词： Radiomics Robustness Magnetic resonance imaging imaging biomarker Phantom study

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Non-concomitant cortical structural and functional alterations in sensorimotor areas following incomplete spinal cord injury

引用

Neural Regeneration Research 2017年第12期12卷 2059-2066页

作者： Yu Pan Wei-bei Dou Yue-heng Wang Hui-wen Luo Yun-xiang Ge Shu-yu Yan Quan Xu Yuan-yuan Tu Yan-qing Xiao Qiong Wu Zhuo-zhao Zheng Hong-liang Zhao Department of Rehabilitation Beijing Tsinghua Changgung Hospital Beijing China School of Clinical Medicine Tsinghua University Beijing China Department of Electronic Engineering Tsinghua University Beijing China Department of Radiology Beijing Tsinghua Changgung Hospital Beijing China

Brain plasticity, including anatomical changes and functional reorganization, is the physiological basis of functional recovery after spinal cord injury（SCI）. The correlation between brain anatomical changes and functional reorganization after SCI is unclear. This study aimed to explore whether alterations of cortical structure and network function are concomitant in sensorimotor areas after incomplete SCI. Eighteen patients with incomplete SCI（mean age 40.94 ± 14.10 years old; male：female, 7：11） and 18 healthy subjects（37.33 ± 11.79 years old; male：female, 7：11） were studied by resting state functional magnetic resonance imaging. Gray matter volume（GMV） and functional connectivity were used to evaluate cortical structure and network function, respectively. There was no significant alteration of GMV in sensorimotor areas in patients with incomplete SCI compared with healthy subjects. Intra-hemispheric functional connectivity between left primary somatosensory cortex（BA1） and left primary motor cortex（BA4）, and left BA1 and left somatosensory association cortex（BA5） was decreased, as well as inter-hemispheric functional connectivity between left BA1 and right BA4, left BA1 and right BA5, and left BA4 and right BA5 in patients with SCI. Functional connectivity between both BA4 areas was also decreased. The decreased functional connectivity between the left BA1 and the right BA4 positively correlated with American Spinal Injury Association sensory score in SCI patients. The results indicate that alterations of cortical anatomical structure and network functional connectivity in sensorimotor areas were non-concomitant in patients with incomplete SCI, indicating the network functional changes in sensorimotor areas may not be dependent on anatomic structure. The strength of functional connectivity within sensorimotor areas could serve as a potential imaging biomarker for assessment and prediction of sensory function in patients with incomplete SCI. This trial was registered with the Chinese Clinical Trial Registry（regi

关键词： nerve regeneration incomplete spinal cord injury gray matter volume functional connectivity sensorimotor areas functionalmagnetic resonance imaging brain plasticity non-concomitant anatomical structure network imaging biomarker neural regeneration

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Role of imaging biomarkers in mutation-driven non-small cell lung cancer

引用

World Journal of Clinical Oncology 2020年第7期11卷 412-427页

作者： Dexter P Mendoza Zofia Piotrowska Jochen K Lennerz Subba R Digumarthy Division of Thoracic imaging and Intervention Department of RadiologyMassachusetts General HospitalBostonMA 02114United States Massachusetts General Hospital Cancer Center and Department of Medicine Massachusetts General HospitalBostonMA 02114United States Center for Integrated Diagnostics Department of PathologyMassachusetts General HospitalBostonMA 02114United States

Lung cancer remains the leading cause of cancer-related deaths worldwide.The treatment of non-small cell lung cancer(NSCLC),which accounts for a vast majority of lung cancers,has shifted to personalized,targeted therapy following discoveries of several targetable oncogenic mutations.Targeting of specific mutations has improved outcomes in many patients.This success has led to several target-specific agents replacing chemotherapy as first-line treatment in certain mutated NSCLC.Several researchers have reported that there may be imaging biomarkers that may be predictive of the presence of these mutations.These features,when present,have the potential in triaging patients into the most appropriate diagnostic and treatment algorithms.Distinct imaging features and patterns of metastases that have been associated with NSCLC with various targetable oncogenic mutations are presented in this review.

关键词： Non-small cell lung cancer imaging biomarker Targeted therapy Oncogenic mutations Radiomics Metastatic pattern

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：