Distribution of Coronal Plane Alignment of the Knee Classification in Chinese Osteoarthritic and Healthy Population: A Retrospective Cross-sectional Observational Study

Medicine, Rheumatology and Immunology, Orthopedics, Medical Imaging,
coronal plane alignment   knee   kinematic alignment   osteoarthritis   total knee arthroplasty  

A Retrospective Cross-Sectional Observational Study on the Distribution of Coronal Plane Alignment Classifications in Chinese Osteoarthritic and Healthy Populations Research Background Neutral mechanical alignment (MA) of the knee is considered the cornerstone of successful and durable total knee arthroplasty (TKA). However, the existence of “const...

Artificial Intelligence-Based Classification of Breast Lesion from Contrast Enhanced Mammography: A Multicenter Study

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
breast lesions   artificial intelligence   diagnosis   mammography   deep learning  

Multi-center Study on Artificial Intelligence-based Classification of Breast Lesions In the field of breast cancer, early diagnosis is crucial for improving treatment efficacy and survival rate. Breast cancer can be mainly divided into two categories: in situ carcinoma and invasive carcinoma, which have significant differences in treatment strategi...

Speech Prosody Serves Temporal Prediction of Language via Contextual Entrainment

Medicine, Neurology, Clinical Psychology, Life Sciences, Biophysics,
speech prosody   temporal prediction   contextual entrainment   electrophysiology   MEG   language comprehension  

Time prediction plays an important role in language comprehension, making language processing faster and more efficient. Especially in complex auditory and language processing, predicting the information of the upcoming utterance can improve comprehension efficiency and reduce cognitive load. Existing research has shown that listeners can utilize t...

Radiomics-based Prediction of Local Control in Patients with Brain Metastases Following Postoperative Stereotactic Radiotherapy

Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
radiomics   machine learning   local failure prediction   brain metastases   artificial intelligence  

Application of Radiomics in Predicting Local Control in Postoperative Stereotactic Radiotherapy for Brain Metastasis Patients Academic Background Brain Metastases (BMs) are the most common malignant brain tumors, far surpassing primary brain tumors like gliomas in incidence. Recent medical guidelines recommend surgical treatment for patients with s...

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...

Gliomatosis cerebri in children: a poor prognostic phenotype of diffuse gliomas with a distinct molecular profile

Medicine, Pediatrics, Medical Laboratory Science, Neurology, Oncology, Life Sciences, Cell Biology, Genetics,
pediatric gliomatosis cerebri   diffuse gliomas   molecular profile   poor prognosis   genetic alterations   high-grade gliomas   brain tumor  

Childhood Gliomatosis Cerebri: A Poor Prognosis Phenotype of Diffuse Glioma with Distinct Molecular Characteristics Introduction Gliomatosis cerebri (GC) is a highly invasive form of diffuse glioma. It was initially discarded as an independent pathological type due to its indeterminate molecular characteristics. However, with the advancements in mo...

Resistance, Rebound, and Recurrence Regrowth Patterns in Pediatric Low-Grade Glioma Treated by MAPK Inhibition: A Modified Delphi Approach to Build International Consensus

Medicine, Pediatrics, Neurology, Neurosurgery, Oncology,
Pediatric   Low-Grade Glioma   MAPK Inhibition   Resistance   Recurrence   Rebound   Delphi Method  

International Consensus on Resistance, Rebound, and Recurrence in Pediatric Low-Grade Glioma with MAPK Inhibition Therapy: Established Using a Modified Delphi Method Academic Background Pediatric low-grade glioma (PLGG) is the most common type of tumor in the central nervous system of children. Although these tumors have a relatively high overall s...

Raman-Based Machine Learning Platform Reveals Unique Metabolic Differences Between IDHmut and IDHwt Glioma

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology, Life Sciences, Cell Biology, Biochemistry,
Raman spectroscopy   glioma   machine learning   FFPE tissue   lipid metabolism  

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...

Disturbance in Cerebral Blood Microcirculation and Hypoxic-Ischemic Microenvironment are Associated with the Development of Brain Metastasis

Medicine, Neurology, Neurosurgery, Oncology, Life Sciences, Immunology,
cerebral blood microcirculation   hypoxic-ischemic microenvironment   brain metastasis   angiogenesis   ANG-2   VEGF   anti-angiogenic therapy  

Microcirculatory Disorders of Cerebral Blood Flow and the Hypoxic-Ischemic Microenvironment Related to Brain Metastasis Development Background and Research Motivation Brain metastasis (BM) is an increasing challenge in oncology due to its severe impact on neurological function, limited treatment options, and resulting poor prognosis. BM develops th...

Risk Factors for Domain-Specific Neurocognitive Outcome in Pediatric Survivors of a Brain Tumor in the Posterior Fossa – Results of the HIT 2000 Trial

Medicine, Pediatrics, Neurology, Neurosurgery, Clinical Psychology, Oncology,
Neurocognitive outcome   Pediatric brain tumor   Posterior fossa   HIT 2000 trial   Risk factors analysis  

Analysis of Risk Factors Related to Specific Domain Neurocognitive Outcomes in Pediatric Survivors of Posterior Fossa Brain Tumors – HIT 2000 Trial Results Research Background Brain tumors are the most common solid tumors in childhood, particularly central nervous system (CNS) tumors. Studies have shown that patients who receive craniospinal irradi...