ArticleMagnetic resonance imaging2023
Performance of spiral UTE-MRI of the lung in post-COVID patients.
Article in Magnetic resonance imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Hybrid learning: a combination of self-supervised and supervised learning for joint MRI reconstruction and denoising in low-field MRI.Physics in medicine and biology · 2026Article
- Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lung at 0.55T.Magnetic resonance in medicine · 2026Article
- Evaluating Stack-of-Stars and FLORET 3D Ultrashort Echo Time MRI to Assess Structural Pathology in Cystic Fibrosis Lung Disease.Academic radiology · 2026Article
- Optimized 3D UTE and ZTE MRI for high-resolution lung imaging: A comparative study.Magnetic resonance in medicine · 2026Article
- Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.Journal of magnetic resonance imaging : JMRI · 2025Review
- Single breath-hold volumetric lung imaging at 0.55T using stack-of-spiral (SoS) out-in balanced SSFP.Magnetic resonance in medicine · 2025Article
- Whole-body magnetic resonance imaging with ultra-short echo time sequence versus fluorodeoxyglucose-positron emission tomography/computed tomography in detecting gynecologic metastases.Journal of clinical imaging science · 2025Article
- Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.Scientific reports · 2024Article
- Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment Hub.Bioengineering (Basel, Switzerland) · 2023Article
- The Role of Proton MRI to Evaluate Patient Pathophysiology in Severe Asthma.Radiology. Cardiothoracic imaging · 2023Article
- Lung TMagnetic resonance in medicine · 2023Article
- Multiomic characterisation of the long-term sequelae of SARS survivors: a clinical observational study.EClinicalMedicine · 2023Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Patients recovered from COVID-19 may develop long-COVID symptoms in the lung. For this patient population (post-COVID patients), they may benefit from longitudinal, radiation-free lung MRI exams for monitoring lung lesion development and progression. The purpose of this study was to investigate the performance of a spiral ultrashort echo time MRI sequence (Spiral-VIBE-UTE) in a cohort of post-COVID patients in comparison with CT and to compare image quality obtained using different spiral MRI acquisition protocols. Lung MRI was performed in 36 post-COVID patients with different acquisition protocols, including different spiral sampling reordering schemes (line in partition or partition in line) and different breath-hold positions (inspiration or expiration). Three experienced chest radiologists independently scored all the MR images for different pulmonary structures. Lung MR images from spiral acquisition protocol that received the highest image quality scores were also compared against corresponding CT images in 27 patients for evaluating diagnostic image quality and lesion identification. Spiral-VIBE-UTE MRI acquired with the line in partition reordering scheme in an inspiratory breath-holding position achieved the highest image quality scores (score range = 2.17-3.69) compared to others (score range = 1.7-3.29). Compared to corresponding chest CT images, three readers found that 81.5% (22 out of 27), 81.5% (22 out of 27) and 37% (10 out of 27) of the MR images were useful, respectively. Meanwhile, they all agreed that MRI could identify significant lesions in the lungs. The Spiral-VIBE-UTE sequence allows for fast imaging of the lung in a single breath hold. It could be a valuable tool for lung imaging without radiation and could provide great value for managing different lung diseases including assessment of post-COVID lesions.
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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.