Feasibility, Safety, and Performance of Full-Scalp Subdural EEG - A Report on Minimally Invasive Electrode Implantation Background and Purpose Since Berger first recorded human scalp electrical signals and discovered the alpha rhythm in 1929, the recording capabilities of electroencephalography (EEG) have significantly improved in terms of spatial ...
Brain CT Analysis as a Tool for Outcome Prediction after Out-of-Hospital Cardiac Arrest: A Supervised Machine Learning Analysis Research Background Out-of-Hospital Cardiac Arrest (OHCA) is one of the leading causes of death in the Western world, with extremely low survival rates, ranging from 3% to 16%. The neurological and overall outcomes after O...
Natural History and MRI Follow-up of Patients with Cerebral Cavernous Malformations Background Cerebral cavernous malformations (CCMs) are vascular malformations of the brain and spinal cord lined by endothelial cells and lacking smooth muscle. Due to the disruption of endothelial cell permeability and tight junctions, patients may present with foc...
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...
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...
Neurosurgical Research: Anatomical and Functional Study of Connections between the Paracentral Lobule and Primary Motor Cortex In recent years, researchers have been continuously exploring the connections between different regions of the human brain, particularly those involving motor function and its plasticity. It is known that the paracentral lo...
Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...
Clinical Study Report on Laser Interstitial Thermal Therapy (LITT) in Neurosurgery Background Introduction With the continuous progress of modern medical technology, Laser Interstitial Thermal Therapy (LITT) has gradually gained a foothold in the field of neurosurgical tumor treatment, especially in treating intracranial lesions that are difficult ...
Research on Using Deep Learning to Combine Mammography and Ultrasound Images for Predicting Malignancy of BI-RADS US 4A Lesions in Women with Dense Breasts Background Breast cancer is the most common malignant tumor in women, with a relatively high incidence and mortality rate. Previous studies have found that women with dense breasts are more like...
Precise and Safe Lung Segmentectomy Enabled by Dual-Channel Near-Infrared Fluorescence Tumor and Pleural Demarcation Lung cancer is a leading cause of cancer-related deaths globally. Since the introduction of computed tomography screening, the early detection rate of lung cancer has greatly increased, significantly reducing mortality rates. Studies...