- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Advanced MRI Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Meningioma and schwannoma management
- Trigeminal Neuralgia and Treatments
- Acute Ischemic Stroke Management
- Dementia and Cognitive Impairment Research
- Hepatocellular Carcinoma Treatment and Prognosis
- MRI in cancer diagnosis
- Neurological Disorders and Treatments
- Coronary Artery Anomalies
- Neurological and metabolic disorders
- Neurofibromatosis and Schwannoma Cases
- Ophthalmology and Eye Disorders
- Alzheimer's disease research and treatments
- Cardiac Imaging and Diagnostics
- Liver Disease Diagnosis and Treatment
- Facial Nerve Paralysis Treatment and Research
- Radiomics and Machine Learning in Medical Imaging
- Gestational Trophoblastic Disease Studies
- Cerebrovascular and genetic disorders
- Anorectal Disease Treatments and Outcomes
- Cerebral Venous Sinus Thrombosis
Shandong Provincial Hospital
2021-2025
Shandong First Medical University
2021-2025
Shandong University
2013-2024
Southwest University
2022-2023
Chinese Academy of Sciences
2023
Weatherford College
2023
Liaocheng People's Hospital
2008-2010
Abstract We aimed to investigate alterations in functional brain networks and assess the relationship between impairment topological network changes cerebral small vessel disease (CSVD) patients with without microbleeds (CMBs). constructed individual whole‐brain, region of interest (ROI) level connectivity (FC) for 24 CSVD CMBs (CSVD‐c), 42 (CSVD‐n), 36 healthy controls (HCs). Then, we used graph theory analysis global nodal disruptions groups relate clinical parameters. found that both...
Neuroimaging studies have demonstrated extensive brain functional alterations in cognitive and motor areas Type 2 diabetes mellitus (T2DM) with diabetic peripheral neuropathy (DPN), suggesting potential large-scale networks related to DPN associated cognition dysfunction. In this study, using resting-state connectivity (FC) graph theory computational approaches, we investigated the topological disruptions of 28 DPN, 43 T2DM without (NDPN), 32 healthy controls (HCs) examined correlations...
Quantitative susceptibility mapping (QSM) can study the values of brain tissue which allows for noninvasive examination local iron levels in both normal and pathological conditions. Our compares deposition gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients healthy controls (HCs), exploring factors that affect cognitive function. A total 321 subjects were enrolled this study. All had including Stroop color word test (SCWT) MRI multiecho gradient echo (mGRE)...
This study explored the relationships between brain iron levels, emotion, and cognitive motor function in cerebral small vessel disease (CSVD) patients using quantitative susceptibility mapping (QSM). A total of 208 subjects were enrolled this study. QSM map was calculated from multiecho GRE data via morphology-enabled dipole inversion with an automatic uniform cerebrospinal fluid zero reference algorithm (MEDI+0). Multiple linear regression analysis applied to explore clinical factors...
The primary importance of magnetic resonance (MR) imaging in evaluating anal fistulas lies its ability to demonstrate hidden areas sepsis and secondary extensions patients with fistula ano. MR is relatively expensive, so there are many healthcare systems worldwide where access remains restricted. Until recently, computed tomography (CT) has played a limited role ano, largely owing poor resolution soft tissue. In this article, the different features CT MRI compared relative accuracy...
Cerebral small vessel disease (CSVD) encompasses several diseases affecting the arteries, arterioles, venules, and capillaries of brain refers to pathological processes etiologies. Neuroimaging is considered gold standard for detecting CSVD, which can present diverse features on MRI. microbleeds (CMBs) in CSVD have been demonstrated play a synergistic role both cerebrovascular neurodegenerative pathology. Considering previous studies structural abnormalities study, we aimed explore altered...
The incidence of thyroid diseases has increased in recent years, and cervical lymph node metastasis (LNM) is considered an important risk factor for locoregional recurrence. This study aims to develop a deep learning-based computer-aided diagnosis (CAD) method diagnose LNM with carcinoma on computed tomography (CT) images.A new learning framework guided by the analysis CT data automated detection classification LNs images proposed. presented CAD system consists two stages. First, improved...
Abstract Aims Emerging evidence suggests that cerebral small vessel disease (CSVD) pathology changes brain structural connectivity (SC) and functional (FC) networks. Although network‐level SC FC are closely coupled in the healthy population, how SC‐FC coupling correlates with neurocognitive outcomes patients different CSVD burdens remains largely unknown. Methods Using multimodal MRI, we reconstructed whole‐brain networks for 54 severe burden (CSVD‐s), 106 mild (CSVD‐m), 79 controls. We then...
Emerging evidence highlights cerebral microbleeds (CMBs) as hallmarks of small vessel disease (CSVD) underlying depression and cognitive dysfunction. This study aimed to reveal how cognition-related white matter (WM) abnormalities are topologically presented, the network-level structural disruptions associated with CMBs in CSVD. We used probabilistic diffusion tractography graph theory investigate brain WM network topology CSVD patients (n = 64, CSVD-c) without 138, CSVD-n) 90 healthy...
The object of this study was to assess the detailed anatomical features and vascular relationships cisternal segment oculomotor nerve, utility MR imaging in nerve palsy caused by abnormal compression related arteries tumors.The anatomy depicted using 3D Fourier transformation constructive interference steady-state (CISS) 196 volunteers (392 total nerves), 9 patients with paralysis 1 preoperative patient cholesteatoma pontine cistern. vessels adjacent were detected compared time-of-flight...
Abstract To reveal the network-level structural disruptions associated with cognitive dysfunctions in different cerebral small vessel disease (CSVD) burdens, we used probabilistic diffusion tractography and graph theory to investigate brain network topology 67 patients a severe CSVD burden (CSVD-s), 133 mild (CSVD-m) 89 healthy controls. We one-way analysis of covariance assess altered topological measures between groups, then evaluated their Pearson correlation parameters. Both control...
This study aims to investigate the disrupted topological organization of gray matter (GM) structural networks in cerebral small vessel disease (CSVD) patients with microbleeds (CMBs). Subject-wise were constructed from GM volumetric features 49 CSVD CMBs (CSVD-c), 121 without (CSVD-n), and 74 healthy controls. The used graph theory analyze global regional properties network their correlation cognitive performance. We found that both control groups exhibited efficient small-world networks....
We aimed to investigate risk factors for the presence and number of cerebral microbleeds (CMBs) in patients with different stages hypertension stages, an emphasis on relationship between white matter changes (WMCs) CMBs.Since 2016, participants aged 40 years or more have been evaluated CMBs using enhanced 3D multiecho GE T2*-weighted angiography (ESWAN) sequences. The Mann-Whitney U test Pearson χ2 were used compare clinical characteristics CMB no-CMB patient groups. Furthermore, we...
Abstract Retroperitoneal abdominal pregnancy is exceptionally rare. An unusual retroperitoneal has a high risk of severe bleeding. Abdominal ultrasonography and whole computerized tomography scanning should be performed for the early diagnosis ectopic pregnancy. A case located very close to large blood vessels treated with resection presented. Many features were highlighted as providing further evidence in support main proposed embryo migration mechanism via lymphatic vessels.
Emerging evidence suggested widespread decreased gray matter volume (GMV) and tau hyperphosphorylation were associated with type 2 diabetes mellitus (T2DM). Insulin resistance is one of the mechanisms neuron degeneration in T2DM; it can decrease activity protein kinase B increase glycogen synthesis kinase-3β, thus promoting finally leading to neuronal degeneration. However, association between GMV serum phosphorylated at threonine 181 (P-tau-181) T2DM patients lacks neuroimaging evidence. We...
Abstract Context Brain functional alterations in type 2 diabetes with diabetic peripheral neuropathy (DPN) related to motor dysfunction remain largely unknown. Objective We aimed explore intrinsic resting brain activity DPN. Methods A total of 28 patients DPN, 43 and without DPN (NDPN), 32 healthy controls (HCs) were recruited underwent resting-state magnetic resonance imaging. calculated the amplitude low-frequency fluctuation (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo)....
Diffusion tensor imaging (DTI) is recommended as a sensitive method to explore white matter (WM) microstructural alterations. Cerebral small vessel disease (CSVD) may be accompanied by extensive WM deterioration, while cerebral microbleeds (CMBs) are an important factor affecting CSVD. Fractional anisotropy (FA), mean diffusivity (MD), axial (AD) and radial (RD) images from 49 CSVD patients with CMBs (CSVD-c), 114 without (CSVD-n), 83 controls were analyzed using DTI-derived tract-based...
Abstract Background To investigate whether CT-based radiomics can effectively differentiate between heterotopic pancreas (HP) and gastrointestinal stromal tumor (GIST), different resampling methods affect the model’s performance. Methods Multi-phase CT radiological data were retrospectively collected from 94 patients. Of these, 40 with HP 54 GISTs enrolled April 2017 November 2021. One experienced radiologist manually delineated volume of interest then resampled voxel size images to 0.5 × mm...
Cerebral small vessel disease (CSVD) is a neurodegenerative with hidden symptoms and difficult to diagnose. The diagnosis mainly depends on clinical neuroimaging. Therefore, we explored the potential of combining detection MRI-based radiomics features for CSVD in large cohort. A total 118 patients 127 healthy controls underwent quantitative susceptibility mapping 3D-T1 scans, all completed multiple cognitive tests. Lasso regression was used select features, model constructed based...