First Clinical Investigation of Near-Infrared Window IIA/IIB Fluorescence Imaging for Precise Surgical Resection of Gliomas

First Clinical Investigation of Near-Infrared Window IIA/IIB Fluorescence Imaging for Precise Surgical Resection of Gliomas

“IEEE Transactions on Biomedical Engineering” August 2022, Vol. 69, No. 8, First Clinical Study: Application of Near-Infrared Window IIA/IIB Fluorescence Imaging in Precise Glioma Resection Surgery Cao Caiguang, Jin Zeping, Shi Xiaojing, Zhang Zhe, Xiao Anqi, Yang Junying, Ji Nan, Tian Jie (IEEE Member), Hu Zhenhua (IEEE Senior Member) Introduction...

Glioma Survival Analysis Empowered with Data Engineering—A Survey

Survival Analysis of Glioblastoma Patients: An Overview Empowered by Data Engineering Introduction Glioblastoma is a type of tumor that occurs in glial cells and accounts for 26.7% of all primary brain and central nervous system tumors. Survival analysis of glioblastoma patients is a key task in clinical management due to the heterogeneity of the t...

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth

Personalized Prediction of Glioma Growth Using Bayesian Inference Introduction Glioblastoma is the most aggressive type of primary brain tumor, characterized by highly invasive tumor cells that spread to surrounding tissues. Conventional medical imaging techniques cannot precisely identify these diffuse tumor boundaries, leading to suboptimal clini...

A Numerical Analysis of Rectangular Open Channel Embedded TiO2-Au-MXene Employed PCF Biosensor for Brain Tumor Diagnosis

Numerical Analysis of Rectangular Open-Channel PCF Biosensor Embedded with TiO2-Au-MXene for Brain Tumor Diagnosis Academic Background and Problem Statement In recent years, the development of cost-effective and highly reliable biosensors has become a research hotspot. These sensors aim to detect minute concentrations of analytes and cover a wide a...

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Globally, the most common and deadly malignant brain tumor is glioblastoma (Glioblastoma, GBM). In recent years, research has continuously attempted to predict the overall survival time (OS) of GBM patients using machine learning techniques based on preoperative single-modality or multi-modality imaging phenotypes. Although these machine learning m...

Modeling of Glioma Growth with Mass Effect by Longitudinal Magnetic Resonance Imaging

Study of Mathematical Models for Tumor Growth – Exploring Glioma Extension Using Longitudinal Magnetic Resonance Imaging A recent article published in the IEEE Transactions on Biomedical Engineering presents a systematic study on the mathematical modeling and growth patterns of gliomas (glioma). This research was conducted by Birkan Tunç, David A. ...

Comparison of Sonication Patterns and Microbubble Administration Strategies for Focused Ultrasound-Mediated Large-Volume Drug Delivery

Comparison of Acoustic Patterns and Microbubble Delivery Strategies in Large-Volume Drug Delivery Mediated by Focused Ultrasound for Blood-Brain Barrier Opening Background Diffuse Intrinsic Pontine Glioma (DIPG) is the most common and lethal brainstem tumor in children. Due to the usually intact blood-brain barrier (BBB) in DIPG, drug penetration i...

Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients

Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients

Near-Infrared Window II Fluorescence Imaging-Guided Surgery Prolongs Progression-Free Survival for High-Grade Glioma Patients Research Background High-grade glioma (HGG) is the most common malignant primary tumor in the central nervous system, with glioblastoma (GBM) having the worst prognosis. To improve the treatment outcomes for GBM patients, in...

Phosphocreatine Promotes Epigenetic Reprogramming to Facilitate Glioblastoma Growth through Stabilizing BRD2

The research results, completed in collaboration by many scientists including Lishu Chen, Qinghui Qi, and Xiaoqing Jiang, were published in the groundbreaking journal Cancer Discovery. The report detailed how phosphocreatine (PCr) promotes the growth of glioblastoma (GBM) by stabilizing bromodomain-containing protein 2 (BRD2). This discovery provid...

CHD2 Regulates Neuron-Glioma Interactions in Pediatric Glioma

Research Report on the Regulation of Neuron-Glioma Interactions by CHD2 in Pediatric Gliomas Background High-grade gliomas (HGG) are fatal diseases in both adult and pediatric patients. Recent studies have shown that neuronal activity can promote the progression of various high-grade glioma subgroups. However, the epigenetic mechanisms regulating t...