A5001955087- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Glioma Diagnosis and Treatment
- Epilepsy research and treatment
- Radiomics and Machine Learning in Medical Imaging
- Neural dynamics and brain function
- Fetal and Pediatric Neurological Disorders
- Pituitary Gland Disorders and Treatments
- Meningioma and schwannoma management
- Ferroptosis and cancer prognosis
- Adrenal and Paraganglionic Tumors
- MRI in cancer diagnosis
- AI in cancer detection
- Tumors and Oncological Cases
- Neurofibromatosis and Schwannoma Cases
- Ginger and Zingiberaceae research
- Neurological disorders and treatments
- Geotechnical Engineering and Underground Structures
- Non-Destructive Testing Techniques
- Essential Oils and Antimicrobial Activity
- Cerebrospinal fluid and hydrocephalus
- Probiotics and Fermented Foods
- Glycogen Storage Diseases and Myoclonus
- Growth Hormone and Insulin-like Growth Factors
Central South University
2023-2025
Xiangya Hospital Central South University
2023-2025
Capital University
2022
Capital Medical University
2018-2022
Beijing Institute of Neurosurgery
2020-2022
Beijing Tian Tan Hospital
2018-2022
Yulin Normal University
2021
Objective Ischemic infarction of pituitary apoplexy (PA) is a rare type apoplexy. This study aims to characterize ischemic PA via clinical presentations, imaging data, histopathological manifestations, and focus on the management prognosis disease. Methods retrospectively identified 46 patients with confirmed using histopathology at single institution from January 2013 December 2020. The laboratory examination, management, outcomes were collected. We then summarized features, intraoperative...
The detection of mutations in telomerase reverse transcriptase promoter (p TERT ) is important since preoperative diagnosis p status helps with evaluating prognosis and determining the surgical strategy. Here, we aimed to establish a radiomics-based machine-learning algorithm evaluated its performance regard prediction patients World Health Organization (WHO) grade II gliomas. In total, 164 WHO gliomas were enrolled this retrospective study. We extracted total 1,293 radiomics features from...
Structural-functional coupling (SFC) has shown great promise in predicting postsurgical seizure recurrence patients with temporal lobe epilepsy (TLE). In this study, we aimed to clarify the global alterations SFC TLE and predict their surgical outcomes using features. This study analyzed presurgical diffusion functional magnetic resonance imaging data from 71 48 healthy controls (HCs). were categorized into seizure-free (SF) non-seizure-free (nSF) groups based on recurrence. Individual...
Background: Seizures are a common symptom in patients with temporal lobe gliomas and may result brain network alterations, but changes caused by glioma-related epilepsy remain poorly understood. In this study, we applied graph theory analysis to delineate topological networks resting-state functional magnetic resonance images investigated the characteristics of epilepsy. Methods: Thirty low grade left were enrolled classified into epileptic (n =15) non-epileptic groups. Twenty healthy...
The present study aimed to preoperatively predict the status of 1p/19q based on radiomics analysis in patients with World Health Organization (WHO) grade II gliomas.This retrospective enrolled 157 WHO gliomas (76 astrocytomas mutant IDH, 16 wild-type and 65 oligodendrogliomas IDH codeletion). Radiomic features were extracted from magnetic resonance images, including T1-weighted, T2-weighted, contrast T1-weighted images. Elastic net support vector machines radial basis function kernel applied...
Diffuse low-grade gliomas (DLGGs) growing on the insular lobe induce contralesional hemispheric compensation of damaged functioning by increasing cortical volumes. However, it remains unclear how functional networks are altered in patients with DLGGs during compensation. Thirty-five were classified into left (insL, n = 16) and right groups (insR, 19), 33 healthy subjects included control group. Resting state magnetic resonance imaging was used to generate connectivity (FC), network...
Abstract Gliomas typically grow along white matter fiber tracts, yet their invasion patterns remain unclear. This study assessed the effect of insular glioma on large tracts and microstructural subcortical changes associated with clinical outcomes in patients glioma. Twenty-five were enrolled divided into left right groups according to tumor lateralization. The control group comprised 14 healthy volunteers. Subjects both underwent diffusion tensor magnetic resonance imaging at 3.0 T....
OBJECTIVE Diffuse gliomas are the most common primary with a poor prognosis. This study aimed to develop and validate prognostic models for predicting survival probability in newly diagnosed lower-grade glioma (LGG) patients. METHODS Detailed data were obtained LGG from The Cancer Genome Atlas (TCGA) Chinese Glioma (CGGA) cohorts. Survival was assessed using Cox proportional hazards regression adjustment known factors. model established TCGA cohort, independently validated CGGA predict 3-,...
Purpose The majority of solitary brain metastases appear similar to glioblastomas (GBMs) on magnetic resonance imaging (MRI). This study aimed develop and validate an MRI-based model differentiate intracranial from GBMs using automated machine learning. Materials Methods Radiomics features 354 patients with were used build prediction algorithms based T2-weighted images, contrast-enhanced (CE) T1-weighted or both. data these subjects subjected a nested 10-fold split in the training testing...
(1) Background: Glioma is the most common primary tumor in central nervous system, and glioma-related epilepsy (GRE) one of its symptoms. The abnormalities white matter fiber tracts are involved attributing changes patients with (Rudà, R, 2012).This study aimed to assess frontal lobe gliomas’ effects on cerebral tracts. (2) Methods: Thirty glioma were enrolled divided into two groups (Ep nEep). Among them, five excluded due apparent insular or temporal involvement. A set 14 age...
Lower-grade Gliomas anchored in eloquent areas cause varying degrees of language impairment. Except for a tumor's features, contralesional compensation may explain these differences. Therefore, studying changes the contralateral hemisphere can provide insights into underlying mechanisms function patients with gliomas. This study included 60 eloquent-area or near-eloquent-area The participants were grouped according to degree defect. T1 and diffusion tensor imaging obtained. cortical volume...
Gliomas grow and invade along white matter fiber tracts. This study assessed the effects of motor cortex gliomas on cerebral bundle skeleton. The glioma group included 21 patients, control comprised 14 healthy volunteers. Both groups underwent magnetic resonance imaging-based 3.0 T diffusion tensor imaging. We used tract-based spatial statistics to analyze characteristics bundles. left right were analyzed separately from group. Results statistically corrected by family-wise error rate....
Nowadays, researchers are using advanced multimodal neuroimaging techniques to construct the brain network connectome elucidate complex relationship among networks of functions and structure. The objective this study was evaluate coupling structural connectivity (SC) functional (FC) in entire healthy controls (HCs), investigate modifications SC-FC individuals suffering from temporal lobe epilepsy (TLE).We evaluated 65 patients with TLE matched for age gender 48 controls. between regions...
Background: The use of electrocorticography (ECoG) to avoid intraoperative stimulation-induced seizure (ISS) during awake craniotomy is controversial. Although a standard direct cortical stimulating (DCS) protocol used identify the eloquent cortices and subcortical structures, ISS still occurs. Epilepsy related alterations in brain networks. In this study, we investigated specific networks patients with ISS. Methods: Twenty-seven glioma were enrolled categorized into non-ISS groups based on...
<title>Abstract</title> The purpose of the current study was to assess change characteristics structural network connection strength (SNCS), functional (FNCS), and structural-functional correlation (SFC) preoperative disconnected networks in temporal lobe epilepsy (TLE) capability these measures predict postoperative seizure outcomes. This enrolled 39 TLE patients with 29 healthy controls (HCs). Patients were divided into seizure-free (SF) non-seizure-free (NSF) groups. Each individual...
<title>Abstract</title> Objectives Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as adenoma and craniopharyngioma. This study aimed to differentiate PPTs from craniopharyngioma using a machine learning method based on radiomics. Design: Single center cohort study. Materials Methods The used for training testing contained 33 99 non-posterior (NPPTs). validation consisted of prospectively included patients (9 NPPTs). Radiomics features T1-weighted images...