Yan Xie

ORCID: 0000-0003-3608-8887
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About
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Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Glioma Diagnosis and Treatment
  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Liver Disease Diagnosis and Treatment
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Acute Ischemic Stroke Management
  • Multiple Sclerosis Research Studies
  • Liver Diseases and Immunity
  • Sarcoma Diagnosis and Treatment
  • Ultrasound Imaging and Elastography
  • Endometrial and Cervical Cancer Treatments
  • Electron Spin Resonance Studies
  • Urinary Bladder and Prostate Research
  • Ultrasound and Hyperthermia Applications
  • Micro and Nano Robotics
  • Advanced Materials and Mechanics
  • Advanced X-ray and CT Imaging
  • Ovarian cancer diagnosis and treatment
  • Cardiovascular Disease and Adiposity
  • Arsenic contamination and mitigation
  • Soft Robotics and Applications
  • Adipokines, Inflammation, and Metabolic Diseases
  • Tribology and Lubrication Engineering

Zunyi Medical University
2025

Huazhong University of Science and Technology
2021-2024

Tongji Hospital
2021-2024

Ningxia Medical University
2015-2023

Wuhan National Laboratory for Optoelectronics
2021-2022

The First Affiliated Hospital, Sun Yat-sen University
2016-2017

Zhongshan Hospital
2016-2017

Fudan University
2016-2017

Sun Yat-sen University
2016-2017

Ningxia Medical University General Hospital
2015

The poor contractility of the detrusor muscle in underactive bladders (UABs) fails to increase pressure inside UAB, leading strenuous and incomplete urination. However, existing therapeutic strategies by modulating/repairing muscles, e.g., neurostimulation regenerative medicine, still have low efficacy and/or adverse effects. Here, we present an implantable magnetic soft robotic bladder (MRB) that can directly apply mechanical compression UAB assist Composed a biocompatible elastomer...

10.1126/sciadv.abq1456 article EN cc-by-nc Science Advances 2022-08-24

To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes.Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 11.5 years) were randomly divided into the training (n = 311) validation cohorts 211). According modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized good (mRS ≤ 2) poor > 2); 1310 radiomics extracted diffusion-weighted imaging apparent...

10.3348/kjr.2022.0160 article EN Korean Journal of Radiology 2022-01-01

The main objective of this study was to evaluate the efficacy integrating blood oxygen level dependent functional magnetic resonance imaging (BOLD-fMRI) and diffusion tensor (DTI) data into radiation treatment planning for high-grade gliomas located near primary motor cortexes (PMCs) corticospinal tracts (CSTs). A total 20 patients with adjacent PMCs CSTs between 2012 2014 were recruited. bilateral in normal regions without any overlapping target volume lesions. BOLD-fMRI, DTI conventional...

10.1186/s13014-015-0364-1 article EN cc-by Radiation Oncology 2015-03-07

This study aimed to assess the spatiotemporal evolution of oxygen extraction fraction (OEF) in ischemic stroke with a newly developed cluster analysis time (CAT) for combined quantitative susceptibility mapping and blood level-dependent model (QSM + qBOLD, QQ).One hundred fifteen patients different phases were retrospectively collected measurement OEF infarcted area defined on diffusion-weighted imaging (DWI). Clinical severity was assessed using National Institutes Health Stroke Scale...

10.3389/fnins.2021.716031 article EN cc-by Frontiers in Neuroscience 2021-08-16

Background: The intratumoral heterogeneity of oxygen metabolism and angiogenesis are core hallmarks glioma, unveiling that genetic aberrations associated with magnetic resonance imaging (MRI) phenotypes may aid in the diagnosis treatment glioma. Objective: To explore predictability MRI-based extraction fraction (OEF) mapping using cluster analysis time evolution (CAT) for profiling glioma grading. Methods: Ninety-one patients histopathologically confirmed were examined CAT quantitative...

10.3389/fnins.2021.736891 article EN cc-by Frontiers in Neuroscience 2021-10-04

Objectives: To compare the efficacy of parameters from multiple diffusion magnetic resonance imaging (dMRI) for prediction isocitrate dehydrogenase 1 (IDH1) genotype and assessment cell proliferation in gliomas. Methods: Ninety-one patients with glioma underwent weighted (DWI), multi-b-value DWI, kurtosis (DKI)/neurite orientation dispersion density (NODDI) on 3.0T MRI. Each parameter was compared between IDH1-mutant IDH1 wild-type groups by Mann-Whitney U test lower-grade gliomas (LrGGs)...

10.3389/fnins.2021.783361 article EN cc-by Frontiers in Neuroscience 2021-11-22

Background Noninvasive determination of Notch signaling is important for prognostic evaluation and therapeutic intervention in glioma. Purpose To predict using multiparametric (mp) MRI radiomics correlate with biological characteristics gliomas. Study Type Retrospective. Population A total 63 patients model construction 47 from two public databases external testing. Field Strength/Sequence 1.5 T 3.0 T, T1 ‐weighted imaging ( T1WI ), T2WI , T2 fluid attenuated inversion recovery FLAIR...

10.1002/jmri.28378 article EN Journal of Magnetic Resonance Imaging 2022-08-05

Background The status of the hypothalamic‐pituitary‐gonadal (HPG) axis is important for assessing onset physiological or pathological puberty. reference standard gonadotropin‐releasing hormone (GnRH) stimulation test requires hospital admission and repeated blood samples. A simple noninvasive method would be beneficial. Objectives To explore a evaluating HPG activation in children using an MRI radiomics model. Study Type Retrospective. Population Two hundred thirty‐nine (83 male; 3.6–14.6...

10.1002/jmri.28914 article EN Journal of Magnetic Resonance Imaging 2023-07-27

Abstract Purpose To compare the efficacy of parameters from mono-, bi- and stretch-exponential diffusion weighted imaging (DWI), tensor (DTI), kurtosis (DKI) neurite orientation dispersion density (NODDI) for prediction IDH1 genotype assessment cell proliferation in gliomas. Methods 91 patients with pathologically confirmed gliomas underwent DWI, multi-b-value DWI DKI/NODDI on 3.0T MRI. The ROIs were manually placed to obtain measurements including apparent coefficient (ADC), slow ADC (D),...

10.21203/rs.3.rs-468889/v1 preprint EN cc-by Research Square (Research Square) 2021-04-30
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