A5101598528- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Glioma Diagnosis and Treatment
- Atomic and Subatomic Physics Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced NMR Techniques and Applications
- Bone and Joint Diseases
- Thyroid Cancer Diagnosis and Treatment
- Liver Disease Diagnosis and Treatment
- Colorectal Cancer Surgical Treatments
- Medical Imaging Techniques and Applications
- Vestibular and auditory disorders
- Advanced X-ray and CT Imaging
- Functional Brain Connectivity Studies
- Traumatic Brain Injury Research
- Rheumatoid Arthritis Research and Therapies
- Artificial Intelligence in Healthcare and Education
- Reconstructive Surgery and Microvascular Techniques
- Diet and metabolism studies
- Cancer Diagnosis and Treatment
- Geometric Analysis and Curvature Flows
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Multiple Sclerosis Research Studies
Siemens (China)
2020-2025
Sun Yat-sen University
2024-2025
Sun Yat-sen University Cancer Center
2024-2025
Peking University First Hospital
2023-2024
Peking University
2023-2024
Washington State University
2023-2024
Ruijin Hospital
2020-2023
Xinjiang Uygur Autonomous Region Uygur Medicine Hospital
2023
Shanghai Normal University
2023
Children’s Hospital of Fudan University Xiamen Branch
2023
Background The isocitrate dehydrogenase (IDH) genotype and 1p/19q codeletion status are key molecular markers included in glioma pathologic diagnosis. Advanced diffusion models provide additional microstructural information. Purpose To compare the diagnostic performance of histogram features multiple metrics predicting IDH genotyping. Materials Methods In this prospective study, participants were enrolled from December 2018 to 2020. Diffusion-weighted imaging was performed by using a...
The long-term effects of COVID-19 on brain structure remain unclear. A prospective study was conducted to explore the changes in survivors at one and two years after discharge (COVID-19one, COVID-19two). difference gray matter volume (GMV) analyzed using voxel-based morphometry method, correlation analyses were conducted. dynamic clinical sequelae varied. GMVs cerebellum vermis reduced COVID-19one COVID-19two, positively correlated with lymphocyte count, negatively neutrophil...
Background The focus of neuro‐oncology research has changed from histopathologic grading to molecular characteristics, and medical imaging routinely follows this change. Purpose To compare the diagnostic performance amide proton transfer (APT) four diffusion models in gliomas isocitrate dehydrogenase (IDH) genotype. Study Type Prospective. Population A total 62 participants (37 males, 25 females; mean age, 52 ± 13 years) whose IDH genotypes were mutant 6 14 grade II gliomas, 8 20 III 4 28 IV...
White matter (WM) disruption is an important determinant of cognitive impairment after mild traumatic brain injury (mTBI), but traditional diffusion tensor imaging (DTI) shows some limitations in assessing WM damage. Diffusion kurtosis (DKI) and neurite orientation dispersion density (NODDI) show advantages over DTI this respect. Therefore, we used these three models to investigate complex changes the acute stage mTBI. From 32 mTBI patients 31 age-, sex-, education-matched healthy controls,...
Prediction of isocitrate dehydrogenase (IDH) mutation status and epilepsy occurrence are important to glioma patients. Although machine learning models have been constructed for both issues, the correlation between them has not explored. Our study aimed exploit this improve performance IDH identification diagnosis in patients with II-IV. 399 were retrospectively enrolled divided into a training (n = 279) an independent test 120) cohort. Multi-center dataset 228) from The Cancer Imaging...
This study investigates the relationships between breast cancer survivors' return to work, health literacy, and recurrence fear. By employing structural equation modeling, we examine mediating effect of literacy on interplay fear ability work. We conducted a survey involving 190 survivors, utilizing general information questionnaire, Concern About Recurrence Scale, Health Literacy Management Scale. Our findings indicate that only 54.2% participants successfully returned Notably, was...
Abstract Purpose The aim of this study was to investigate the influence simultaneous multislice acceleration (SMS) technique as well two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within parametric maps cervical cancer, which were computed by intravoxel incoherent motion (IVIM) diffusion kurtosis imaging (DKI). Additionally, sought identify those RFs that could characterize clinical stages (low‐stage vs. high‐stage) cancer. Materials methods...
This longitudinal study aimed to examine the relationship between return-to-work self-efficacy (RTW-SE), anxiety, and depression in patients with renal cancer. A total of 282 cancer from Sun Yat-sen University Cancer Center were recruited April December 2022. Patients assessed at one month (T1), three months (T2), six (T3) after surgery using a general information questionnaire, Return-to-Work Self-Efficacy Scale, Generalized Anxiety Disorder Scale (GAD- 7), Patient Health Questionnaire...
Mean apparent propagator (MAP) MRI is a novel diffusion imaging method to map tissue microstructure. The purpose of this study was evaluate the diagnostic value MAP in Parkinson's disease (PD) comparison with conventional tensor (DTI).23 PD patients and 22 age- gender-matched healthy controls were included. DTI performed on 3T MR scanner 20-channel head coil. metrics including mean square displacement (MSD), return origin probability (RTOP), axis (RTAP), plane (RTPP), fractional anisotropy...
Abstract Background To compare the diagnostic performance of neurite orientation dispersion and density imaging (NODDI), mean apparent propagator magnetic resonance (MAP-MRI), diffusion kurtosis (DKI), tensor (DTI) diffusion-weighted (DWI) in distinguishing high-grade gliomas (HGGs) from solitary brain metastases (SBMs). Methods Patients with previously untreated, histopathologically confirmed HGGs ( n = 20) or SBMs 21) appearing as a contrast-enhancing lesion on structural MRI were...
Background Artificial intelligence (AI) models have improved US assessment of thyroid nodules; however, the lack generalizability limits application these models. Purpose To develop AI for segmentation and classification nodules in using diverse data sets from nationwide hospitals multiple vendors, to measure impact on diagnostic performance. Materials Methods This retrospective study included consecutive patients with pathologically confirmed who underwent equipment 12 vendors at 208 across...
Plant genome-scale resources are being generated at an increasing rate as sequencing technologies continue to improve and raw data costs fall; however, the cost of downstream analyses remains large. This has resulted in a considerable range genome assembly annotation qualities across plant genomes due their varying sizes, complexity, technology used for annotation. To effectively work genomes, researchers increasingly rely on comparative genomic approaches that integrate community types....
Purpose To demonstrate the feasibility of compressed sensing ( CS ) to accelerate acquisition hyperpolarized HP 129 Xe multi‐ b diffusion MRI for quantitative assessments lung microstructural morphometry. Methods Six healthy subjects and six chronic obstructive pulmonary disease COPD underwent = 0, 10, 20, 30, 40 s/cm 2 ). First, a fully sampled FS was conducted in one subject. The acquired dataset retrospectively undersampled phase encoding direction, an optimal twofold pattern then...
Infestations or parasitism by forestry pests can lead to adverse consequences for tree growth, development, and overall quality, ultimately resulting in ecological degradation. The identification localization of are utmost importance effective pest control within forest ecosystems. To tackle the challenges posed variations poses similarities between different classes, this study introduced a novel end-to-end detection algorithm that leverages deep convolutional neural networks (CNNs)...
Background and purpose The differential diagnosis between solid glioma brain inflammation is necessary but sometimes difficult. We assessed the effectiveness of multiple diffusion metrics diffusion-weighted imaging (DWI) in differentiating from compared diagnostic performance different DWI models. Materials methods Participants diagnosed with either or a lesion on MRI were enrolled this prospective study May 2016 to April 2023. Diffusion-weighted was performed using spin-echo echo-planar...
Objective To investigate the correlations between quantitative diffusion parameters and prognostic factors molecular subtypes of breast cancer, based on a single fast high-resolution diffusion-weighted imaging (DWI) sequence with mono-exponential (Mono), intravoxel incoherent motion (IVIM), kurtosis (DKI) models. Materials Methods A total 143 patients histopathologically verified cancer were included in this retrospective study. The multi-model DWI-derived quantitatively measured, including...
Pulmonary diseases usually result in changes of the blood‐gas exchange function early stages. Gas across respiratory membrane and gas diffusion alveoli can be quantified using hyperpolarized 129 Xe MR via chemical shift saturation recovery (CSSR) diffusion‐weighted imaging (DWI), respectively. Generally, CSSR DWI data have been collected separate breaths humans. Unfortunately, lung inflation level cannot exactly same different breaths, which causes fluctuations pulmonary microstructure. Here...
Differential tractography and correlation are new modalities to study neuronal changes in brain diseases, but their performances detecting injuries yet be investigated patients with mild traumatic injury (mTBI). Here we the white matter mTBI using differential tractography. The diffusion MRI was acquired at 33 31 health controls. 7 of had one-year follow-up scans, used evaluate injured fiber bundles on these patients. All subjects were evaluated digital symbol substitution test (DSST) trail...
To evaluate the performance of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics in distinguishing between glioblastoma (Gb) solitary brain metastasis (SBM).