Introduction to Magnetic Resonance Imaging for Neurologists

Radue, Ernst‐Wilhelm; Weigel, Matthias; Wiest, Roland; Urbach, Horst

doi:10.1212/con.0000000000000391

Cited by 24 publications

(34 citation statements)

References 22 publications

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“…The presence of magnetic material results in local magnetic field inhomogeneity in samples due to difference in Larmor frequencies causing dephasing of magnetization of protons ultimately resulting in shortening of T2. 29,30 From Fig. 11b and 12, it is evident that by increasing iron oxide NPs in lecithin microbubble, the signal intensity decreases thus intensifying the darkening of the image.…”

Section: Resultsmentioning

confidence: 98%

Monodisperse magnetic lecithin-PFP submicron bubbles as dual imaging contrast agents for ultrasound (US) and MRI

et al. 2022

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Section: Resultsmentioning

confidence: 98%

Monodisperse magnetic lecithin-PFP submicron bubbles as dual imaging contrast agents for ultrasound (US) and MRI

et al. 2022

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“…In particular, MRI offers better visualization of the posterior cranial fossa, containing the brainstem and the cerebellum, as well as good contrast between the grey and white matter. The detailed anatomical structures of CNS are well contrasted by T1-and T2-weighted images with or without enhancement, which are the most widely used sequences for inflammatory CNS lesions with a similar manner of interpretation for musculoskeletal images [91]. MRI is the most useful neuroimaging study in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).…”

Section: ) Mri In Cns Lesions Of Rheumatic Diseasesmentioning

confidence: 99%

Utility of Magnetic Resonance Imaging and Positron Emission Tomography in Rheumatic Diseases

2020

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The use of magnetic resonance imaging (MRI) and positron emission tomography (PET) in rheumatology allows a better understanding of the pathophysiology of the disease as well as early diagnosis and appropriate evaluation of the disease status and treatment responses. Despite the limited availability because of the high cost, there is growing evidence for the advantages and clinical application of these modalities to various rheumatic diseases. This review discusses the basic mechanisms and clinical applications of MRI and PET in certain rheumatic diseases, including rheumatoid arthritis, axial spondyloarthritis, idiopathic inflammatory myopathies, large vessel vasculitis, central nervous system disease associated with rheumatic diseases, polymyalgia rheumatica, adult-onset Still's disease, and immunoglobulin G4-related disease.

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“…Brain magnetic resonance imaging (MRI) is recognized as the imaging modality that produces the best images of brain tissues, body fluids, and fat [ 1 ]. It remains the most appropriate modality for diagnosing patients with symptoms of multiple brain diseases including inflammatory diseases, dementia, neurodegenerative disease, cerebrovascular disease, and brain tumors [ 2 , 3 , 4 , 5 ]; hence, it plays an important role in multiple clinical scenarios ranging from acute diagnostics to routine follow-ups.…”

Section: Introductionmentioning

confidence: 99%

Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review

et al. 2022

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We conducted a systematic review of the current status of machine learning (ML) algorithms’ ability to identify multiple brain diseases, and we evaluated their applicability for improving existing scan acquisition and interpretation workflows. PubMed Medline, Ovid Embase, Scopus, Web of Science, and IEEE Xplore literature databases were searched for relevant studies published between January 2017 and February 2022. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. The applicability of ML algorithms for successful workflow improvement was qualitatively assessed based on the satisfaction of three clinical requirements. A total of 19 studies were included for qualitative synthesis. The included studies performed classification tasks (n = 12) and segmentation tasks (n = 7). For classification algorithms, the area under the receiver operating characteristic curve (AUC) ranged from 0.765 to 0.997, while accuracy, sensitivity, and specificity ranged from 80% to 100%, 72% to 100%, and 65% to 100%, respectively. For segmentation algorithms, the Dice coefficient ranged from 0.300 to 0.912. No studies satisfied all clinical requirements for successful workflow improvements due to key limitations pertaining to the study’s design, study data, reference standards, and performance reporting. Standardized reporting guidelines tailored for ML in radiology, prospective study designs, and multi-site testing could help alleviate this.

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Introduction to Magnetic Resonance Imaging for Neurologists

Cited by 24 publications

References 22 publications

Monodisperse magnetic lecithin-PFP submicron bubbles as dual imaging contrast agents for ultrasound (US) and MRI

Monodisperse magnetic lecithin-PFP submicron bubbles as dual imaging contrast agents for ultrasound (US) and MRI

Utility of Magnetic Resonance Imaging and Positron Emission Tomography in Rheumatic Diseases

Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review

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