Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.

Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.

Radiomic Consensus Clustering in Glioblastoma and Association with Gene Expression Profiles.

Background/objectives: Glioblastoma (GBM) is the most common malignant primary central nervous system tumor with extremely poor prognosis and survival outcomes. Non-invasive methods like radiomic feature extraction, which assess sub-visual imaging features, provide a potentially powerful tool for distinguishing molecular profiles across groups of patients with GBM. Using consensus clustering of MRI-based radiomic features, this study aims to investigate differential gene expression profiles based on radiomic clusters.

Ethical Considerations Regarding Psychedelics for Clinical Pain Research.

Psychedelics, substances with a long history of cultural and medicinal use, are experiencing a resurgence in clinical research, particularly in psychiatry. Despite their classification as Schedule I drugs, recent studies suggest therapeutic potential, particularly in treating refractory depression. With chronic pain representing a major health concern and with few non-opioid treatment options available, psychedelics are being explored as alternative treatment modalities.

Scoping Review: The Effects of Interrupted Onabotulinumtoxin A Treatment for Chronic Migraine Prevention During the COVID-19 Pandemic.

Objective: To systematically examine the literature on the clinical consequences of inadvertent delays in scheduled onabotulinumtoxin A (OTA) therapy for chronic migraine during the COVID-19 pandemic and assess recommendations when access to OTA is limited.

Background: The coronavirus (COVID-19) pandemic was unprecedented in its impact on the global medical community. Most healthcare institutions in the United States (US) and the world had begun significantly limiting elective procedures, undermining management of many debilitating chronic conditions.