A5046942350- Functional Brain Connectivity Studies
- Hearing, Cochlea, Tinnitus, Genetics
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- MicroRNA in disease regulation
- Ear Surgery and Otitis Media
- Cancer-related molecular mechanisms research
- MRI in cancer diagnosis
- EEG and Brain-Computer Interfaces
- RNA modifications and cancer
- Advanced Neuroimaging Techniques and Applications
- Gastric Cancer Management and Outcomes
- Vestibular and auditory disorders
- Advanced MRI Techniques and Applications
- Hearing Loss and Rehabilitation
- Circular RNAs in diseases
- Eating Disorders and Behaviors
- Neurological disorders and treatments
- Meningioma and schwannoma management
- Ear and Head Tumors
- Parkinson's Disease Mechanisms and Treatments
- Cancer-related gene regulation
- Diet and metabolism studies
- Ferroptosis and cancer prognosis
- Neurotransmitter Receptor Influence on Behavior
Xijing Hospital
2016-2025
Zhejiang Lab
2025
Hangzhou Normal University
2025
Affiliated Hospital of Hangzhou Normal University
2023-2025
Air Force Medical University
2016-2025
Tang Du Hospital
2021-2024
Tiangong University
2023-2024
Wenzhou-Kean University
2024
National Clinical Research
2024
Chongqing Medical University
2014-2023
Background: Accurate glioma grading before surgery is of the utmost importance in treatment planning and prognosis prediction. But previous studies on MRI images were not effective enough. According to remarkable performance convolutional neural network (CNN) medical domain, we hypothesized that a deep learning algorithm can achieve high accuracy distinguishing World Health Organization (WHO) low grade gliomas. Methods: One hundred thirteen patients retrospectively included. Tumor segmented...
Accurate glioma grading plays an important role in the clinical management of patients and is also basis molecular stratification nowadays.To verify superiority radiomics features extracted from multiparametric MRI to evaluate potential different sequences or parametric maps.Retrospective; radiomics.A total 153 including 42, 33, 78 with Grades II, III, IV gliomas, respectively.3.0T MRI/T1 -weighted images before after contrast-enhanced, T2 -weighted, multi-b-value diffusion-weighted 3D...
// Xin Zhang 1, * , Lin-Feng Yan Yu-Chuan Hu 1 Gang Li 2 Yang Yu Han Ying-Zhi Sun Zhi-Cheng Liu Qiang Tian Zi-Yang 3 Le-De Bin-Quan Zi-Yu Qiu Wen Wang and Guang-Bin Cui Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi’an 710038, Shaanxi, P.R. China Neurosurgery, Student Brigade, 710032, These authors have contributed equally to this work Correspondence to: Cui, email: cgbtd@126.com Wang, wangwen@fmmu.edu.cn Keywords: glioma grading, MRI, machine...
The methylation status of oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter has been associated with treatment response in glioblastoma(GBM). Using pre-operative MRI techniques to predict MGMT remains inconclusive. In this study, we investigated the value features from structural and advanced imagings predicting primary glioblastoma patients.Ninety-two pathologically confirmed patients underwent preoperative MR efficacy image were qualitatively analyzed using Fisher's exact test....
The preoperative grading of gliomas, which is critical for guiding therapeutic strategies, remains unsatisfactory. We aimed to retrospectively assess the efficacy intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas. Forty-two newly diagnosed glioma patients underwent conventional MR imaging, DWI and contrast-enhanced imaging. Parameters apparent diffusion coefficient (ADC), slow (D), fast (D*) fraction ADC (f) were generated. They tested differences between low-...
As patients with Parkinson's disease (PD) are at high risk for comorbid depression, it is hypothesized that these two diseases sharing common pathogenic pathways. Using regional homogeneity (ReHo) and functional connectivity approaches, we characterized human brain activity resting state to examine specific networks in PD those depression (PDD). This study comprised 41 25 normal subjects. The completed the Hamilton Depression Rating Scale were further divided into groups: depressive symptoms...
Objective The aim of this study was to investigate alterations in functional connectivity (FC) within and interactions between resting‐state networks involved salience, executive control, interoception participants with obesity (OB). Methods Using magnetic resonance imaging independent component analysis FC, 35 OB normal‐weight controls (NW) were investigated. Results Compared NW, showed reduced FC strength the ventromedial prefrontal cortex posterior cingulate cortex/precuneus default‐mode...
In a previous study, we elucidated the specific microRNA (miRNA) profile of hepatic differentiation. this aimed to clarify instructive role six overexpressed miRNAs (miR-1246, miR-1290, miR-148a, miR-30a, miR-424 and miR-542-5p) during differentiation human umbilical cord lining-derived mesenchymal stem cells (hMSCs) test whether overexpression any these is sufficient induce hMSCs into hepatocyte-like cells. Before differentiation, were infected with lentivirus containing miRNA inhibitor...
Background Accurate glioma grading plays an important role in patient treatment. Purpose To investigate the influence of varied texture retrieving models on efficacy with support vector machine (SVM). Study Type Retrospective. Population In all, 117 patients including 25, 29, and 63 grade II, III, IV gliomas, respectively, based WHO 2007. Field Strength/Sequence 3.0T MRI/ T 1 WI, 2 fluid‐attenuated inversion recovery, contrast enhanced , arterial spinal labeling, diffusion‐weighted imaging...
Abstract Obese individuals exhibit brain functional abnormalities in multiple regions implicated reward/motivation, emotion/memory, homeostatic regulation, and executive control when exposed to food cues during rest. However, it remains unclear whether abnormal responses might account for or relate their activity resting state. This information would be useful understanding the neural mechanisms behind hyperactive cues, a critical marker of obesity. Resting‐state magnetic resonance imaging...
Despite bariatric surgery being the most effective treatment for obesity, a proportion of subjects have suboptimal weight loss post-surgery. Therefore, it is necessary to understand mechanisms behind variance in and identify specific baseline biomarkers predict optimal loss. Here, we employed functional magnetic resonance imaging (fMRI) with whole-brain resting-state connectivity (RSFC) multivariate prediction framework integrating feature selection, transformation, classification...
Abstract Background Based on conventional MRI images, it is difficult to differentiatepseudoprogression from true progressionin GBM patients after standard treatment, which isa critical issue associated with survival. The aim of this study was evaluate the diagnostic performance machine learning using radiomics modelfrom T 1 -weighted contrast enhanced imaging(T CE) in differentiating pseudoprogression progression treatment for GBM. Methods Seventy-sevenGBM patients, including 51 and 26...
Abstract Here, we investigated the role of zinc ribbon domain-containing 1 (ZNRD1) in multidrug resistance (MDR) leukemia cells and possible underlying mechanisms. ZNRD1 was found overexpressed vincristine-induced MDR cell HL-60/vincristine moreso than its parental HL-60. Up-regulation expression could confer both P-glycoprotein (P-gp)-related P-gp-nonrelated drugs on HL-60 suppress Adriamycin-induced apoptosis accompanied by decreased accumulation increased releasing amount Adriamycin....
Freezing of gait (FOG) is a common and complex manifestation Parkinson's disease (PD) associated with impairment attention. The purpose this study was to evaluate the functional network connectivity (FNc) changes between dorsal attention (DAN) other seven intrinsic networks relevant attention, visual-spatial, executive motor functions in PD or without FOG. Forty-three idiopathic patients (21 FOG [FOG+] versus 22 [FOG-]) 18 healthy controls (HC) were recruited study. data-driven independent...