Adeno-Associated Virus-Mediated Trastuzumab Delivery to the Central Nervous System for Human Epidermal Growth Factor Receptor 2+ Brain Metastasis

Medicine, Neurology, Oncology, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Immunology,
Adeno-Associated Virus   Trastuzumab   Central Nervous System   Brain Metastasis   Gene Therapy   Breast Cancer   HER2  

AAV-Mediated Trastuzumab Delivery to the Central Nervous System for EGFR2-Positive Brain Metastases Introduction In the treatment of breast cancer, tumors that are human epidermal growth factor receptor 2 (HER2) positive exhibit more aggressive characteristics, posing significant challenges for clinical treatment. Since the approval of trastuzumab ...

An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy

Physics, Optics, Chemistry, Analytical Chemistry, Medicine, Medical Laboratory Science, Neurology, Neurosurgery, Medical Imaging, Oncology, Life Sciences, Bioengineering,
fluorescence spectroscopy   multiple-wavelength excitation   fluorophores   baseline model   non-linear optics   neuro-oncology   glioma  

Research Background Fluorescence spectroscopy is a widely used method for identifying and quantifying fluorescent substances (fluorophores). However, quantifying the fluorophores of interest becomes challenging when the material contains other fluorophores (baseline fluorophores), especially when the emission spectrum of the baseline is not well-de...

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas from MRI

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurosurgery, Medical Imaging, Oncology,
gliomas   IDH prediction   multi-level features   MRI   feature fusion  

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in MRI Background Glioma is the most common malignant primary brain tumor in adults. According to the 2021 World Health Organization (WHO) classification of tumors, genotype plays a significant role in the classification of tumor subtypes, especially the isocitrate dehy...

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
normalizing flow   pharmacokinetic parameters   dynamic contrast-enhanced MRI   maximum likelihood estimation   posterior distribution  

In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...

A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer’s Diseases

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
3D MRI   Gliomas   Alzheimer's Disease   Domain Adaptation   Deep Learning  

Classification of 3D MRI Gliomas and Alzheimer’s Disease Based on the Siamese-Transport Domain Adaptation Framework Background In computer-aided diagnosis, 3D magnetic resonance imaging (MRI) screening plays a vital role in the early diagnosis of various brain diseases, effectively preventing the deterioration of the condition. Glioma is a common m...

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain tumor classification   deep learning   ensemble learning   multiclass classification   transfer learning   explainable AI   vision transformers  

In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma after Tumor Resection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain   glioma   growth model   magnetic resonance imaging   validation  

Research Review on the Predictive Value of Low-Grade Glioma Postoperative Growth Models Introduction Glioma is an aggressive brain tumor whose cells rapidly diffuse within the brain. Understanding and predicting the pattern and speed of this diffusion can help optimize treatment plans. Glioma growth models based on diffusion-proliferation have show...

Phantom and In Vivo Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
frameless stereotaxis   optical navigation   laser interstitial thermal therapy   accuracy   targeting error  

Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy Background Glioblastoma is a rapidly growing and invasive brain tumor, and traditional treatment methods include surgical resection, radiation therapy, and chemotherapy. However, for some patients with deep-seated tumors or poor physical conditions, traditio...

Laser Interstitial Thermal Therapy for First-Line Treatment of Insular Glioma: A Novel Treatment Framework

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
insular glioma   laser interstitial thermal therapy   safety   cytoreductive treatment   surgical management  

Application of Laser Interstitial Thermal Therapy in Insular Gliomas Research Background and Problem Statement The management of insular gliomas has always faced significant surgical challenges. Due to the complex functional and vascular anatomy surrounding the insula, maximally safe resection is highly technically challenging. Removing low-grade a...

Outcomes of Mechanical Thrombectomy for Acute Ischemic Stroke in Cancer Patients: A Single-Center Experience and Meta-Analysis

Medicine, Emergency Medicine, Neurology, Oncology,
Mechanical Thrombectomy   Acute Ischemic Stroke   Cancer Patients   Single-Center Experience   Meta-Analysis   Clinical Outcomes   Safety  

Research Report: Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke Patients with Cancer Background Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) is a severe neurological injury, which is further complicated in cancer patients. Cancer-related stroke mechanisms include a hypercoagulable state, coagulopathies due to tumor-...