ArticleStroke2023
Detection of Intracerebral Hemorrhage Using Low-Field, Portable Magnetic Resonance Imaging in Patients With Stroke.
Article in Stroke, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 29 citations in OpenAlex.
- Neuroimaging access in Chad: Infrastructure barriers and opportunities for accessible magnetic resonance imaging.medRxiv : the preprint server for health sciences · 2026Article
- Review
- Detection of Hemorrhagic Transformation of Cerebral Infarcts with Ultra-low Field MRI.Clinical neuroradiology · 2026Article
- Role of Low-Field MRI in Acute Stroke.Stroke · 2026Review
- Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort.Annals of clinical and translational neurology · 2026Article
- The potential of low-field MRI for global dementia care.Nature reviews. Neurology · 2026Review
- Clinical implementation of ultra-low-field portable MRI in the neuro-intensive care and stroke unit.Neuroradiology · 2026Article
- A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.European radiology · 2026Article
- Transforming Intracerebral Hemorrhage Care with Artificial Intelligence: Opportunities, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2026Review
- A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.Neuroimage. Reports · 2026Review
- Portable Bedside Low-Field MRI for Assessment of Ventricular Size.AJNR. American journal of neuroradiology · 2025Article
- 0.23-Tesla MRI to differentiate between ischaemic and haemorrhagic strokes within 24 hours of onset: a combined experimental-clinical study.Stroke and vascular neurology · 2025Article
- Inhibition of tumor necrosis factor receptor-associated factor 6 alleviates secondary brain injury by reducing neuronal pyroptosis after intracerebral hemorrhage.Experimental animals · 2025Article
- Review
- Case Report: Ultralow-field portable MRI improves the diagnosis of congenital hydrocephalus.Frontiers in pediatrics · 2025Article
- Low-Field (64 mT) Portable MRI for Rapid Point-of-Care Diagnosis of Dissemination in Space in Patients Presenting with Optic Neuritis.AJNR. American journal of neuroradiology · 2024Article
- Engineering Principles and Bioengineering in Global Health.Neurosurgery clinics of North America · 2024Review
- Learning to build low-field MRIs for remote northern communities.Frontiers in neuroimaging · 2024Article
- Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundNeuroimaging is essential for detecting spontaneous, nontraumatic intracerebral hemorrhage (ICH). Recent data suggest ICH can be characterized using low-field magnetic resonance imaging (MRI). Our primary objective was to investigate the sensitivity and specificity of ICH on a 0.064T portable MRI (pMRI) scanner using a methodology that provided clinical information to inform rater interpretations. As a secondary aim, we investigated whether the incorporation of a deep learning (DL) reconstruction algorithm affected ICH detection.
methodsThe pMRI device was deployed at Yale New Haven Hospital to examine patients presenting with stroke symptoms from October 26, 2020 to February 21, 2022. Three raters independently evaluated pMRI examinations. Raters were provided the images alongside the patient's clinical information to simulate real-world context of use. Ground truth was the closest conventional computed tomography or 1.5/3T MRI. Sensitivity and specificity results were grouped by DL and non-DL software to investigate the effects of software advances.
resultsA total of 189 exams (38 ICH, 89 acute ischemic stroke, 8 subarachnoid hemorrhage, 3 primary intraventricular hemorrhage, 51 no intracranial abnormality) were evaluated. Exams were correctly classified as positive or negative for ICH in 185 of 189 cases (97.9% overall accuracy). ICH was correctly detected in 35 of 38 cases (92.1% sensitivity). Ischemic stroke and no intracranial abnormality cases were correctly identified as blood-negative in 139 of 140 cases (99.3% specificity). Non-DL scans had a sensitivity and specificity for ICH of 77.8% and 97.1%, respectively. DL scans had a sensitivity and specificity for ICH of 96.6% and 99.3%, respectively.
conclusionsThese results demonstrate improvements in ICH detection accuracy on pMRI that may be attributed to the integration of clinical information in rater review and the incorporation of a DL-based algorithm. The use of pMRI holds promise in providing diagnostic neuroimaging for patients with ICH.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.