A5066168143- Radiomics and Machine Learning in Medical Imaging
- Intracranial Aneurysms: Treatment and Complications
- Cerebrovascular and Carotid Artery Diseases
- Hepatocellular Carcinoma Treatment and Prognosis
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
- Acute Ischemic Stroke Management
- MRI in cancer diagnosis
- Pancreatic and Hepatic Oncology Research
- Advanced MRI Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Moyamoya disease diagnosis and treatment
- Vascular Malformations Diagnosis and Treatment
- Parkinson's Disease Mechanisms and Treatments
- Advanced X-ray and CT Imaging
- Metabolomics and Mass Spectrometry Studies
- Advanced Neuroimaging Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Pancreatitis Pathology and Treatment
- COVID-19 diagnosis using AI
- Neurosurgical Procedures and Complications
- Cerebrospinal fluid and hydrocephalus
- Fetal and Pediatric Neurological Disorders
Wenzhou Medical University
2016-2025
First Affiliated Hospital of Wenzhou Medical University
2016-2025
First People's Hospital of Foshan
2022-2025
Guangdong Academy of Medical Sciences
2019-2020
Guangdong Provincial People's Hospital
2019-2020
Qilu University of Technology
2020
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2020
Second Affiliated Hospital of Zhejiang University
2020
Fudan University
2013-2017
Beijing Tian Tan Hospital
2017
Abstract Background The present study constructed and validated the use of contrast‐enhanced computed tomography (CT)‐based radiomics to preoperatively predict microvascular invasion (MVI) status (positive vs negative) risk (low high) in patients with hepatocellular carcinoma (HCC). Methods We enrolled 637 from two independent institutions. Patients Institution I were randomly divided into a training cohort 451 test 111 patients. II served as an validation set. LASSO algorithm was used for...
Abstract Purpose: We aimed to construct machine learning (ML) radiomics models predict response lenvatinib monotherapy for unresectable hepatocellular carcinoma (HCC). Experimental Design: Patients with HCC receiving at three institutions were retrospectively identified and assigned training external validation cohorts. Tumor after initiation of was evaluated. Radiomics features extracted from contrast-enhanced CT images. The K-means clustering algorithm used distinguish radiomics-based...
Background: Neutrophil-to-lymphocyte ratio (NLR) and systemic inflammation response index (SIRI) at admission are independent diagnostic biomarkers in stroke-associated pneumonia (SAP). Our study aimed to investigate the association between NLR, SIRI, specifically follow-up NLR SAP, as well their relationship with functional outcomes. Materials Methods: We retrospectively included 451 consecutive ICH patients from May 2017 2019. conducted univariate multivariable analyses identify factors...
Abstract Background Obesity substantially contributes to the onset of acute pancreatitis (AP) and influences its progression severe AP. Although body mass index (BMI) is a widely used anthropometric parameter, it fails delineate distribution pattern adipose tissue. To circumvent this shortcoming, predictive efficacies novel indicators visceral obesity, such as lipid accumulation products (LAP), cardiometabolic (CMI), roundness (BRI), adiposity (VAI), A Body Shape Index (ABSI), Chinese (CVAI)...
OBJECTIVE. The purpose of this study was to investigate differences in CT manifestations coronavirus disease (COVID-19) pneumonia and those influenza virus pneumonia. MATERIALS AND METHODS. We conducted a retrospective 52 patients with COVID-19 45 All had positive results for the respective viruses from nucleic acid testing complete clinical data images. findings pulmonary inflammation, score, length largest lesion were evaluated all patients. Mean density, volume, mass lesions further...
Accurate preoperative prediction of microvascular invasion (MVI) and recurrence-free survival (RFS) is vital for personalised hepatocellular carcinoma (HCC) management. We developed a multitask deep learning model to predict MVI RFS using MRI scans.
Diabetes-associated cognition decline is one of central nervous system complications in diabetic mellitus, while its pathogenic mechanism remains unclear. In this study, 1H nuclear magnetic resonance-based metabonomics and immunohistochemistry was used to explore key metabolic alterations hippocampus type 2 db/db mice with order advance understanding mechanisms underlying the pathogenesis disease. Metabonomics reveals that lactate level significantly increased compared age-matched wild-type...
Abstract BACKGROUND Despite advances in the treatment of poor-grade aneurysmal subarachnoid hemorrhage (aSAH), predicting long-term outcome aSAH remains challenging, although essential. OBJECTIVE To predict outcomes after using decision tree modeling. METHODS This was a retrospective analysis prospective multicenter observational registry patients with World Federation Neurosurgical Societies (WFNS) grade IV or V. Outcome assessed by modified Rankin Scale (mRS) at 12 mo, and an unfavorable...
Background: The dilation of perivascular space (PVS) has been widely used to reflect brain degeneration in clinical imaging studies. However, PVS characteristics exhibit large differences healthy subjects. Such variations need be better addressed before can pathological changes. In the present study, we aim investigate potential influence several related factors on elderly Methods: One-hundred and three subjects (mean age = 59.5) were retrospectively included from a prospectively collected...
Microglia are immune cells in the central nervous system (CNS) that participate response to pathological process after ischemic injury. Non-mitogenic fibroblast growth factor 1 (nmFGF1) is an effective neuroprotective also known as a metabolic regulator. The present study aimed investigate effects and mechanism of ability nmFGF1 on microglia mice photothrombosis (PT) stroke model, determine whether it could ameliorate injury experiment. We discovered intranasal administration reduced infarct...
A schematic diagram of the disturbed metabolic pathways showing that glycolysis, TCA cycle, glucogeogenesis and<italic>etc</italic>. are involved in evolution diabetes.
Objective: Post-stroke epilepsy (PSE) is associated with increased morbidity and mortality. Stroke-associated acute symptomatic seizures are an important risk factor: 20.8–34.3% of these patients will go on to develop PSE. Identifying “high risk” individuals may result in earlier PSE diagnosis, treatment, avoidance seizure-related morbidity. This study was identify predictors development stroke-associated seizures. Participants Methods: a retrospective cohort 167 admitted the Neurology...
Even after curative resection, the prognosis for patients with intrahepatic cholangiocarcinoma (iCCA) remains disappointing due to extremely high incidence of postoperative recurrence.
Background Cerebral small vessel disease (SVD) is the leading cause of vascular dementia. However, it unclear whether individual SVD or global progression correlates with cognitive decline across mild impairment (MCI) subjects. Objective To investigate association longitudinal MCI. Methods We included 432 participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database, 151 in cognitively normal (CN) group and 281 MCI group. evaluated magnetic resonance imaging–based markers...
Background: Persistent prostate-specific antigen (PSA) after radical prostatectomy (RP) is associated with increased metastasis and mortality. However, the value of radiomics for predicting persistent PSA unclear. Our study aimed to evaluate diagnostic performance 18F-PSMA-1007 positron emission tomography (PET) multiparametric magnetic resonance imaging (mpMRI) prediction RP. Methods: Retrospective analysis was performed on 141 patients prostate cancer (PCa) who had undergone...