84 results match your criteria: "Faculty of Medicine of the University of Geneva[Affiliation]"

Objectives: We aimed to characterize the brain abnormalities that are associated with the cognitive and physical performance of patients with relapsing-remitting multiple sclerosis (RRMS) using a deep learning algorithm.

Materials And Methods: Three-dimensional (3D) nnU-Net was employed to calculate a novel spatial abnormality map by T1-weighted images and 281 RRMS patients (Dataset-1, male/female = 101/180, median age [range] = 35.0 [17.

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Background And Objectives: Spinal cerebrospinal fluid (CSF) leaks may cause a myriad of clinical symptoms, the most common being orthostatic headache. Lateral leaks (Type II) and direct CSF-venous fistulas (Type III) are a subgroup of spinal CSF leaks, representing about 1/3 of spinal CSF leaks. This study aimed to analyze the risk and efficacy of nerve root clipping in patients with Type II and Type III CSF leaks.

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This EEG study aims at dissecting the differences in the activation of neural generators between borderline personality disorder patients with court-ordered measures (BDL-COM) and healthy controls in visual perspective taking. We focused on the distinction between mentalizing (Avatar) and non-mentalizing (Arrow) stimuli as well as self versus other-perspective in the dot perspective task (dPT) in a sample of 15 BDL-COM cases and 54 controls, all of male gender. BDL-COM patients showed a late and diffuse right hemisphere involvement of neural generators contrasting with the occipitofrontal topography observed in controls.

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Background And Purpose: Traumatic brain injury (TBI) is a major source of health loss and disability worldwide. Accurate and timely diagnosis of TBI is critical for appropriate treatment and management of the condition. Neuroimaging plays a crucial role in the diagnosis and characterization of TBI.

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Introduction: Wide use of facemasks is one of the many consequences of the COVID-19 pandemic.

Methods: We used an established working memory n-back task in functional magnetic resonance imaging (fMRI) to explore whether wearing a KN95/FFP2 facemask affects overall performance and brain activation patterns. We provide here a prospective crossover design 3 T fMRI study with/without wearing a tight FFP2/KN95 facemask, including 24 community-dwelling male healthy control participants (mean age ± SD = 37.

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PRES Meets ARIA: Overlapping Versus Distinct Diseases.

Radiology

February 2024

From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); and Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (Y.A.).

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AI-accelerated MRI for Acute Stroke: Faster Acquisitions, Faster Diagnoses.

Radiology

February 2024

From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Faculty of Medicine of the University of Geneva, Geneva, Switzerland; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; and Tanta University Faculty of Medicine, Tanta, Egypt.

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Background: Multi-shell diffusion characteristics may help characterize brainstem gliomas (BSGs) and predict H3K27M status.

Purpose: To identify the diffusion characteristics of BSG patients and investigate the predictive values of various diffusion metrics for H3K27M status in BSG.

Study Type: Prospective.

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"Soap bubble" sign as an imaging marker for posterior fossa ependymoma Group B.

Neuroradiology

December 2023

Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.

Purpose: To investigate the predictive value of the "soap bubble" sign on molecular subtypes (Group A [PFA] and Group B [PFB]) of posterior fossa ependymomas (PF-EPNs).

Methods: MRI scans of 227 PF-EPNs (internal retrospective discovery set) were evaluated by two independent neuroradiologists to assess the "soap bubble" sign, which was defined as clusters of cysts of various sizes that look like "soap bubbles" on T2-weighted images. Two independent cohorts (external validation set [n = 31] and prospective validation set [n = 27]) were collected to validate the "soap bubble" sign.

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Neuroimaging in Dementia: More than Typical Alzheimer Disease.

Radiology

September 2023

From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.).

Alzheimer disease (AD) is the most common cause of dementia. The prevailing theory of the underlying pathology assumes amyloid accumulation followed by tau protein aggregation and neurodegeneration. However, the current antiamyloid and antitau treatments show only variable clinical efficacy.

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Background: Non-invasive determination of H3 K27 alteration of pediatric brainstem glioma (pedBSG) remains a clinical challenge.

Purpose: To predict H3 K27-altered pedBSG using amide proton transfer-weighted (APTw) imaging.

Material And Methods: This retrospective study included patients with pedBSG who underwent APTw imaging and had the H3 K27 alteration status determined by immunohistochemical staining.

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Non-communicable diseases (NCDs) in Kyrgyzstan are responsible for 83% of all deaths. This study aimed to assess the effectiveness of WHO "Package of Essential Interventions on NCDs" (PEN) on health education and counselling at primary healthcare in Kyrgyzstan. Interventions consisted of information diffusion in primary care facilities and in communities by trained volunteers.

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Article Synopsis
  • The study examined how inconsistencies in perspectives affected reaction times and error rates among 82 healthy adults using fMRI during a dot perspective task.
  • Findings indicated that the mentalizing (Avatar) task activated brain networks related to theory of mind (ToM), while the non-mentalizing (Arrow) task did not, highlighting a distinction between these two types of stimuli.
  • Inconsistent trials resulted in specific brain activations linked to self-other distinction and decision-making processes, suggesting that perceiving others' perspectives involves more complex neural mechanisms compared to one’s own perspective.
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Article Synopsis
  • This article updates the 2015 consensus paper on arterial spin labeling (ASL) MRI, focusing on its clinical applications and guiding use in specific diseases.
  • It addresses the increased demand and applications of ASL in conditions like stroke, brain tumors, and neurodegenerative diseases, offering insights on optimizing sequences for accurate interpretation.
  • The guidance aims to assist clinical practitioners in implementing ASL in individual patient assessments rather than just in research studies, enhancing diagnostic capabilities.
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Background: Prognostic models for spinal cord astrocytoma patients are lacking due to the low incidence of the disease. Here, we aim to develop a fully automated deep learning (DL) pipeline for stratified overall survival (OS) prediction based on preoperative MR images.

Methods: A total of 587 patients diagnosed with intramedullary tumors were retrospectively enrolled in our hospital to develop an automated pipeline for tumor segmentation and OS prediction.

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Automated Classification of Intramedullary Spinal Cord Tumors and Inflammatory Demyelinating Lesions Using Deep Learning.

Radiol Artif Intell

November 2022

Department of Radiology (Z.Z., J.Z., Y.D., L.Q., C.F., X.H., D.C., X.X., T.S., Y.L.), Department of Neurosurgery (Y.W., W.J.), and Center for Neurology (D.T., X.Z., F.S.), Beijing Tiantan Hospital, Capital Medical University, No. 119, West Southern 4th Ring Road, Fengtai District, Beijing 100070, People's Republic of China; BioMind, Beijing, People's Republic of China (Z.L.); Department of Medical Imaging Product, Neusoft Group, Shenyang, People's Republic of China (X. Guo, X. Gong); China National Clinical Research Center for Neurologic Diseases, Beijing, People's Republic of China (D.T., F.S.); Department of Neurology and Tianjin Neurologic Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China (F.S.); Department of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); UCL Institutes of Neurology and Healthcare Engineering, London, England (F.B.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, the Netherlands (F.B.); and School of Information and Electronics, Beijing Institute of Technology, Beijing, People's Republic of China (C.Y.).

Accurate differentiation of intramedullary spinal cord tumors and inflammatory demyelinating lesions and their subtypes are warranted because of their overlapping characteristics at MRI but with different treatments and prognosis. The authors aimed to develop a pipeline for spinal cord lesion segmentation and classification using two-dimensional MultiResUNet and DenseNet121 networks based on T2-weighted images. A retrospective cohort of 490 patients (118 patients with astrocytoma, 130 with ependymoma, 101 with multiple sclerosis [MS], and 141 with neuromyelitis optica spectrum disorders [NMOSD]) was used for model development, and a prospective cohort of 157 patients (34 patients with astrocytoma, 45 with ependymoma, 33 with MS, and 45 with NMOSD) was used for model testing.

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Objectives: Established visual brain MRI markers for dementia include hippocampal atrophy (mesio-temporal atrophy MTA), white matter lesions (Fazekas score), and number of cerebral microbleeds (CMBs). We assessed whether novel quantitative, artificial intelligence (AI)-based volumetric scores provide additional value in predicting subsequent cognitive decline in elderly controls.

Methods: A prospective study including 80 individuals (46 females, mean age 73.

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Deep Learning to Predict Outcome in Severe Traumatic Brain Injury.

Radiology

August 2022

From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland; Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden; Faculty of Medicine of the University of Geneva, Geneva, Switzerland; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

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Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis.

Neuroradiology

July 2022

Department of Radiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China.

Purpose: To summarize the predictive value of MRI for H3 K27M-mutant in midline gliomas using meta-analysis.

Methods: Systematic electronic searches of the PubMed, Embase, ISI Web of Science, and Cochrane Library up to Jun 31, 2021, were conducted by two experienced neuroradiologists with the keywords of "MRI," "Glioma," and "H3 K27M." The hierarchical summary receiver-operating characteristic (HSROC) model was used to calculate the pooled sensitivity, specificity, positive likelihood ratio (LR +), negative likelihood ratio (LR -), and diagnostic odds ratio (DOR).

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Spatial-Temporal Patterns of β-Amyloid Accumulation: A Subtype and Stage Inference Model Analysis.

Neurology

April 2022

From the Department of Radiology and Nuclear Medicine (L.E.C., V.W., S.E.M., P.S., F.H., A.M.W., B.N.M.B., F.B., I.L.A.), Alzheimer Center and Department of Neurology (W.M.v.d.F., P.S., P.J.V.), and Department of Epidemiology & Data Science (W.M.v.d.F.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Barcelonaβeta Brain Research Center (BBRC) (G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (G.S., J.D.G.), Barcelona, Spain; Stevens Neuroimaging and Informatics Institute (L.A.), Keck School of Medicine, University of Southern California, Los Angeles; Centre for Medical Image Computing and Queen Square Institute of Neurology (F.B.), UCL, UK; Faculty of Medicine of the University of Geneva (S.H.); CIMC-Centre d'Imagerie Médicale de Cornavin (S.H.), Genève, Switzerland; Department of Surgical Sciences, Radiology (S.H.), Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China; and Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) (J.D.G.), Madrid, Spain.

Background And Objectives: β-amyloid (Aβ) staging models assume a single spatial-temporal progression of amyloid accumulation. We assessed evidence for Aβ accumulation subtypes by applying the data-driven Subtype and Stage Inference (SuStaIn) model to amyloid-PET data.

Methods: Amyloid-PET data of 3,010 participants were pooled from 6 cohorts (ALFA+, EMIF-AD, ABIDE, OASIS, and ADNI).

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Background: Several studies postulated that personality is an independent determinant of cognitive trajectories in old age.

Objective: This study explores the impact of personality on widely used Alzheimer's disease (AD) and vascular imaging markers.

Methods: We examined the association between personality and three classical AD imaging markers (centiloid-based-amyloid load, MRI volumetry in hippocampus, and media temporal lobe atrophy), and two vascular MRI parameters (Fazekas score and number of cortical microbleeds) assessed at baseline and upon a 54-month-follow-up.

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Background: Hippocampal involvement may differ between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD).

Objective: To investigate the morphometric, diffusion and functional alterations in hippocampus in MS and NMOSD and the clinical significance.

Methods: A total of 752 participants including 236 MS, 236 NMOSD and 280 healthy controls (HC) were included in this retrospective multi-center study.

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Quantitative imaging processing tools have been proposed to improve clinic-radiological correlations but their added value at the initial stages of cognitive decline is still a matter of debate. We performed a longitudinal study in 90 community-dwelling elders with three neuropsychological assessments during a 4.5 year follow-up period, and visual assessment of medial temporal atrophy (MTA), white matter hyperintensities, cortical microbleeds (CMB) as well as amyloid positivity, and presence of abnormal FDG-PET patterns.

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Purpose: H3K27M-mutant associated brainstem glioma (BSG) carries a very poor prognosis. We aimed to predict H3K27M mutation status by amide proton transfer-weighted (APTw) imaging and radiomic features.

Methods: Eighty-one BSG patients with APTw imaging at 3T MR and known H3K27M status were retrospectively studied.

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