(1) Background: Fifty percent of patients supported on veno-arterial extracorporeal membrane oxygenation (VA-ECMO) are concurrently supported with an intra-aortic balloon pump (IABP). Acute brain injury (ABI) is a devastating complication related to ECMO and IABP use. The standard of care for ABI diagnosis requires transport to a head CT (HCT) scanner. Recent data suggest that point-of-care (POC) magnetic resonance imaging (MRI) is safe and may be effective in diagnosing ABI in ECMO patients; however, no data exist in patients supported on ECMO with an IABP. We report pre-clinical safety data and a case series to evaluate the safety and feasibility of POC brain MRI in ECMO patients supported with IABP. (2) Methods: Prior to patient use, ex vivo testing with an IABP catheter within the Swoop Portable MRI (0.064 T) System™ was conducted. After IRB approval, clinical testing was performed for the safety and feasibility of early ABI detection. (3) Results: No deflection force was measured with a 7.5 French Maquet Linear IABP within the 0.064 T field. Three adult ECMO patients (average age: 40 years; 67% female) supported with IABP completed four POC brain MRI exams (median exam time: 30 min). Multiple signal abnormalities were detected on the POC brain MRI, corresponding to HCT results. (4) Conclusions: Our preliminary results suggest that adult VA-ECMO patients with IABP support can be safely imaged with low-field POC brain MRI in the intensive care unit, allowing for the early and bedside imaging of patients.
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http://dx.doi.org/10.3390/diagnostics12112871 | DOI Listing |
Int J Clin Health Psychol
January 2025
Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, 400715 China.
Background: The neural mechanisms and long-term effects of perceived stress (PS) and self-control (SC) on mental health (MH) are not fully understood. This study seeks to investigate the influence of PS and SC on MH and to identify their neural correlates using fMRI.
Methods: A total of 817 college students participated in behavioral assessments, including the Perceived Stress Scale (PSS), Self-Control Scale (SCS), and Mental Health Continuum Short Form (MHC-SF).
Brain Behav Immun Health
February 2025
Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Coral Gables, FL, 33146, USA.
Skews in the neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) increasingly demonstrate prognostic capability in a range of acute and chronic mental health conditions. There has been a recent uptick in structural and functional magnetic responance imaging data corroborating the role of NLR and MLR in a cluster of neuropsychiatric disorders that are characterized by cognitive, affective, and psychomotor dysfunction. Moreover, these deficits are mostly evident in setting of acute and chronic disease comorbidity implicating aging and immunosenescent processes in the manifestation of these geriatric syndromes.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Pedro Hispano Hospital, Matosinhos Local Health Unit, Matosinhos, PRT.
Intracranial complications of otitis media are rare but pose a significant risk of morbidity and mortality. We report a case of a 27-year-old man with cognitive impairment who presented with fever, right-sided otalgia, otorrhea, and vomiting for three days. His neurological examination was unremarkable, and a brain computed tomography (CT) revealed right-sided otomastoiditis without intraparenchymal lesions.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen, Germany.
Background: This study aimed to develop an automated algorithm to noninvasively distinguish gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further glioma assessment.
Methods: A cohort of 1280 patients with a variety of intracranial pathologies was included. It comprised 218 gliomas (mean age 54.
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