Analysis of Cerebral CT Based on Supervised Machine Learning as a Predictor of Outcome After Out-of-Hospital Cardiac Arrest

Information Science, Artificial Intelligence, Medicine, Emergency Medicine, Neurology, Medical Imaging,
cerebral CT   machine learning   out-of-hospital cardiac arrest   prognosis   gray matter   neurological injury  

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...

A Novel Stratification Scheme Combined with Internal Arteries in CT Imaging for Guiding Postoperative Adjuvant Transarterial Chemoembolization in Hepatocellular Carcinoma: A Retrospective Cohort Study

Medicine, Hepatobiliary System, Medical Imaging, Oncology,
CT imaging   hepatectomy   hepatocellular carcinoma   prognosis   transarterial chemoembolization  

Retrospective Cohort Study on Innovative Stratification Scheme Based on Postoperative Combined CT Imaging to Guide Postoperative Adjuvant Transarterial Chemoembolization for Hepatocellular Carcinoma Background Hepatocellular carcinoma (HCC) is the sixth most common cancer globally and the fourth leading cause of cancer-related deaths. For HCC, live...

Leptomeningeal Metastases in IDH-Wildtype Glioblastomas Revisited: Comprehensive Analysis of Incidence, Risk Factors, and Prognosis Based on Post-Contrast FLAIR

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
glioblastoma   leptomeningeal metastases   magnetic resonance imaging   risk factors   prognosis  

Comprehensive Analysis of Leptomeningeal Metastasis in IDH Wild-Type Glioblastoma In this article published in the journal “Neuro-Oncology,” the research team starting in 2024 delves into the incidence, risk factors, and prognosis of leptomeningeal metastases (LM) in patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma. This study wa...

Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study

Medicine, Neurology, Life Sciences, Immunology,
cerebrospinal fluid   multiple sclerosis   prognosis   disability   relapse rate  

Research Report: Predictive Role of Cerebrospinal Fluid Routine Parameters in the Disease Process of Multiple Sclerosis Background Multiple Sclerosis (MS) is characterized by a highly variable and unpredictable disease course. In the diagnosis of MS, cerebrospinal fluid (CSF) analysis is often a standard procedure. However, there has been ongoing d...

Neuroanatomical and Prognostic Associations of Depression in Parkinson's Disease

Medicine, Basic Medical Sciences, Neurology,
depression   Parkinson's disease   neuroanatomy   prognosis  

This is a large-scale prospective cohort study on depression in patients with Parkinson’s disease (PD). Researchers have used the vast cohort data from the UK Biobank to investigate the temporal association between depression and the onset of PD, the relationship between depression and brain region structure in PD patients, and the impact of depres...

Circulating Extracellular Vesicles as Biomarker for Diagnosis, Prognosis and Monitoring in Glioblastoma Patients

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
extracellular vesicles   biomarker   glioblastoma   diagnosis   prognosis  

This academic paper reports a study on exosomes in patients with glioblastoma. The study explored the potential application of exosomes as biomarkers in the diagnosis, prognosis, and treatment response monitoring of glioblastoma. Academic Background: Glioblastoma is an invasive brain tumor, and despite comprehensive treatments such as surgery, chem...