Objectives: To characterise perinatal, clinical and neuroimaging patterns and aetiology of perinatal intracranial haemorrhage (pICH), and to assess potential differences between cases diagnosed antenatally and postnatally.
Methods: Prospective, observational, single-centre study of 110 consecutive cases of pICH identified in the fetal or neonatal period or diagnosed with presumed pICH between 2014 and 2023. Prematurity-related cases were excluded. Antenatal and postnatal MRI data were analysed for patterns and mechanisms of haemorrhage and their potential aetiology. Potential associations between pICH with perinatal and clinical risk factors were also explored.
Results: Fifty-nine of the 110 included cases (53.6%) were diagnosed antenatally (termination of pregnancy, n=22), and postnatal data on 81/88 (92%) children were available. Intraventricular haemorrhage (IVH) was the most common haemorrhage type (83/110 (75.5%)) and was more common prenatally (p=0.004). Subpial haemorrhage was exclusively diagnosed postnatally (p<0.001), and it was more commonly detected in primigravida women (p=0.013). The germinal matrix was the most common origin of IVH (n=56, 50.9%) occuring more frequently prenatally (p<0.001), whereas sinus venous thrombosis-related IVH was more commonly detected postnatally (p=0.002). Subdural haemorrhage was associated with haematological abnormalities (p=0.023). Genetic disorders caused 31.9% of the cases (15 of 47 tested cases). Genetic disorders and associated congenital anomalies were more common in the prenatally diagnosed group (p=0.038 and p=0.04, respectively).
Conclusions: The patterns and pathogenesis of pICH appear to be different for prenatally and postnatally diagnosed cases and for types of haemorrhages. Given the important role of genetic factors in prenatal intracranial haemorrhage, next-generation sequencing is indicated in these cases.
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http://dx.doi.org/10.1136/archdischild-2024-327243 | DOI Listing |
Patterns (N Y)
December 2024
Medical Robot Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
This study developed an artificial intelligence (AI) system using a local-global multimodal fusion graph neural network (LGMF-GNN) to address the challenge of diagnosing major depressive disorder (MDD), a complex disease influenced by social, psychological, and biological factors. Utilizing functional MRI, structural MRI, and electronic health records, the system offers an objective diagnostic method by integrating individual brain regions and population data. Tested across cohorts from China, Japan, and Russia with 1,182 healthy controls and 1,260 MDD patients from 24 institutions, it achieved a classification accuracy of 78.
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January 2025
Departments of Critical Care Medicine and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Background: Controlled donation after circulatory determination of death (DCD) is feasible only if circulatory arrest occurs soon after withdrawal of life-sustaining measures (WLSM). When organ recovery cannot proceed because this time interval is too long, there are potential negative implications, including perceptions of "secondary loss" for patients' families and significant resource consumption. The DCD-N score is a validated clinical tool for predicting rapid death following WLSM.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Introduction: The Alzheimer's Association and the Society of Nuclear Medicine and Molecular Imaging convened a multidisciplinary workgroup to update appropriate use criteria (AUC) for amyloid positron emission tomography (PET) and to develop AUC for tau PET.
Methods: The workgroup identified key research questions that guided a systematic literature review on clinical amyloid/tau PET. Building on this review, the workgroup developed 17 clinical scenarios in which amyloid or tau PET may be considered.
Acta Neurol Belg
January 2025
Third Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Post-Concussion Syndrome (PCS) represents a complex constellation of symptoms that persist following a concussion or mild traumatic brain injury (mTBI), with significant implications for patient care and outcomes. Despite its prevalence, diagnosing PCS presents considerable challenges due to the subjective nature of symptoms, the absence of specific diagnostic tests, and the overlap with other neurological and psychiatric conditions. This review explores the multifaceted diagnostic challenges associated with PCS, including the heterogeneity of symptom presentation, the limitations of current neuroimaging techniques, and the overlap of PCS symptoms with other disorders.
View Article and Find Full Text PDFJ Intern Med
January 2025
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.
Magnetic resonance imaging (MRI) is a cornerstone of non-invasive diagnostics and treatment monitoring, particularly for diseases of the central nervous system. Although 1.5- and 3 Tesla (T) field strengths remain the clinical standard, the advent of 7 T MRI represents a transformative step forward, offering superior spatial resolution, contrast, and sensitivity for visualizing neuroanatomy, metabolism, and function.
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