Machine learning prediction of brain metastasis invasion pattern on brain magnetic resonance imaging scans.

Background: Brain metastasis invasion pattern (BMIP) is an emerging biomarker associated with recurrence-free and overall survival in patients, and differential response to therapy in preclinical models. Currently, BMIP can only be determined from the histopathological examination of surgical specimens, precluding its use as a biomarker prior to therapy initiation. The aim of this study was to investigate the potential of machine learning (ML) approaches to develop a noninvasive magnetic resonance imaging (MRI)-based biomarker for BMIP determination.

Acyl Hydrazides as Insecticides: Synthesis, Biochemical, Structure-Activity Relationship Studies and Insecticidal Activity of some IGRs Analogues Against Spodoptera littorallis (Boisd.).

The exponential rise in pesticide resistance to conventional chemical pesticides is another major factor driving the development of novel insecticidal active agents. One approach to solving this problem is to investigate novel classes and environmentally safe insecticidal chemicals with a variety of modes of action. Among these techniques is the creation of novel tebufenozide derivatives.

Pediatric TBI: Direct admissions vs. secondary referrals to a hospital: A single‑center, retrospective study.

The present retrospective study was conducted in an aim to examine the differences between pediatric traumatic brain injury (TBI) cases referred to and those admitted directly to the hospital. For this purpose, pediatric patients who presented to a main trauma center with TBI between January, 2015 and December, 2019 were reviewed retrospectively, emphasizing whether they were admitted directly or referred from another center. Data collected included the demographic characteristics of the patients, as well as their presenting complaints and the cause of TBI.

Coexistence of Intracranial Dural Arteriovenous Fistula and Cerebral Venous Sinus Thrombosis: Systematic Review and Outcome Analysis.

A substantial number of patients with intracranial dural arteriovenous fistula (dAVF) suffer from coexistent cerebral venous sinus thrombosis (CVST), yet this clinical relation is poorly studied. We aim to study the clinical and radiological outcome of patients with coexistent dAVF and CVST based on different treatment modalities and to examine various other parameters in such patients. A search strategy was performed on the following search engines: PubMed, Wiley, Microsoft Academia, and Google Scholar.

Uses of artificial intelligence in glioma: A systematic review.

Glioma is the most prevalent type of primary brain tumor in adults. The use of artificial intelligence (AI) in glioma is increasing and has exhibited promising results. The present study performed a systematic review of the applications of AI in glioma as regards diagnosis, grading, prediction of genotype, progression and treatment response using different databases.