A5091952373- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Magnetism in coordination complexes
- Lanthanide and Transition Metal Complexes
- Brain Tumor Detection and Classification
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Ferroptosis and cancer prognosis
- Electron Spin Resonance Studies
- Cancer Research and Treatments
- Medical Imaging Techniques and Applications
- Nanoparticle-Based Drug Delivery
- Nanoplatforms for cancer theranostics
- Ferroelectric and Negative Capacitance Devices
- Advanced Electron Microscopy Techniques and Applications
First Affiliated Hospital of GuangXi Medical University
2023-2024
Guangxi Medical University
2023-2024
Fourth Affiliated Hospital of Guangxi Medical University
2023-2024
Liuzhou Maternal and Child Health Hospital
2024
University of Jinan
2024
The permeability of the highly selective blood–brain barrier (BBB) to anticancer drugs and difficulties in defining deep tumor boundaries often reduce effectiveness glioma treatment. Thus, exploring combination multiple treatment modalities under guidance second-generation near-infrared (NIR-II) window fluorescence (FL) imaging is considered a strategic approach theranostics. Herein, hybrid X-ray-activated nanoprodrug was developed precisely visualize structural features microvasculature...
To evaluate the clinical utility of amide proton transfer-weighted imaging (APTw) and arterial spin labeling (ASL) in differentiating solitary brain metastases (SBMs) from glioblastomas (GBMs).Forty-eight patients diagnosed with tumors were enrolled. All underwent conventional MRI, APTw, ASL scans on a 3.0 T MRI system. The mean APTw value cerebral blood flow (CBF) measured. differences various parameters between GBMs SBMs assessed using independent-samples t-test. quantitative performance...
Abstract Background and purpose The presence of TERT promoter mutations has been associated with worse prognosis resistance to therapy for patients glioblastoma (GBM). This study aimed determine whether the combination model different feature selections classification algorithms based on multiparameter MRI can be used predict subtype in GBM patients. Methods A total 143 were included our retrospective study, 2553 features obtained. datasets randomly divided into training test sets a ratio...
As a crucial diagnostic and prognostic biomarker, telomerase reverse transcriptase (TERT) promoter mutation holds immense significance for personalized treatment of patients with glioblastoma (GBM). In this study, we developed radiomics nomogram to determine the TERT status assessed its efficacy in GBM patients.
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Abstract Background : Adult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT TERT characteristics determine prognostic relevance of genetic profile in patients GBM. Materials Methods MRI, clinical, pathological data 79 GBM were retrospectively collected. The ADC values described...
Rationale and objectivesThe management of tumor recurrence (TR) radiation-induced brain injury (RIBI) poses significant challenges, necessitating the development effective differentiation strategies. In this study, we investigated potential amide proton transfer-weighted (APTw) arterial spin labeling (ASL) imaging for discriminating between TR RIBI in patients with high-grade glioma (HGG).MethodsA total 64 HGG receiving standard treatment were enrolled study. The categorized based on...
Telomerase reverse transcriptase (
To develop a machine learning-based nomogram for distinguishing between supratentorial extraventricular ependymoma (STEE) and glioblastoma (GBM).