Editorial for “Clinical Potential of <scp>UTE‐MRI</scp> for Assessing the <scp>COVID</scp>‐19: Patient‐ and Lesion‐Based Comparative Analysis”

Kamishima, Tamotsu; An, Yujie; Fang, Wanxuan; Lu, Yutong

doi:10.1002/jmri.27291

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The first report of the in vivo human brain involved in a COVID-19 patient has been shown by Politi et al [ 63 ] demonstrated that a signal alteration compatible with a viral brain invasion in a cortical region. Kamishima et al [ 64 ] observed that respiratory-gated MRI is highly effective in reducing respiratory artefacts and these may use in various neurological manifestations of severe COVID-19 patients. Gulko et al [ 65 ] found that acute and sub-acute infarctions were the most common diagnosis of brain MRI imaging and leukoencephalopathy, microhemorrhage constellation, leptomeningeal contrast enhancement, and cortical fluid-attenuated inversion recovery (FLAIR) signal abnormality are common features in COVID-19 patients.…”

Section: Radiological Features Of Covid-19mentioning

confidence: 99%

Radiological and clinical spectrum of COVID-19: A major concern for public health

Verma¹

2021

WJR

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The pandemic of novel coronavirus disease 2019 (COVID-19) is an infectious disease caused by +ve strand RNA virus (SARS-CoV-2, severe acute respiratory syndrome coronavirus 2) that belongs to the corona viridae family. In March, the World Health Organization declared the outbreak of novel coronavirus for the public health emergency. Although SARS-CoV-2 infection presents with respiratory symptoms, it affects other organs such as the kidneys, liver, heart and brain. Early-stage laboratory disease testing shows many false positive or negative outcomes such as less white blood cell count and a low number of lymphocyte count. However, radiological examination and diagnosis are among the main components of the diagnosis and treatment of COVID-19. In particular, for COVID-19, chest computed tomography developed vigorous initial diagnosis and disease progression assessment. However, the accuracy is limited. Although real-time reverse transcription-polymerase chain reaction is the gold standard method for the diagnosis of COVID-19, sometimes it may give false-negative results. Due to the consequences of the missing diagnosis. This resulted in a discrepancy between the two means of examination. Conversely, based on currently available evidence, we summarized the possible understanding of the various patho-physiology, radio diagnostic methods in severe COVID-19 patients. As the information on COVID-19 evolves rapidly, this review will provide vital information for scientists and clinicians to consider novel perceptions for the comprehensive knowledge of the diagnostic approaches based on current experience.

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Section: Radiological Features Of Covid-19mentioning

confidence: 99%

Radiological and clinical spectrum of COVID-19: A major concern for public health

Verma¹

2021

WJR

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“…Ultrashort echo-time and zero echo-time sequences are designed to capture the rapid decaying T2* signal of tissues like the lung or bone. Both sequences have been implemented for lung morphology and pathology [11][12][13][14][15][16], and ultrashort echo-time sequences have been recently used for COVID-19 patients [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Assessment of lung density in pediatric patients using three-dimensional ultrashort echo-time and four-dimensional zero echo-time sequences

2022

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Purpose Lung magnetic resonance imaging (MRI) using conventional sequences is limited due to strong signal loss by susceptibility effects of aerated lung. Our aim is to assess lung signal intensity in children on ultrashort echo-time (UTE) and zero echo-time (ZTE) sequences. We hypothesize that lung signal intensity can be correlated to lung physical density. Materials and methods Lung MRI was performed in 17 children with morphologically normal lungs (median age: 4.7 years, range 15 days to 17 years). Both lungs were manually segmented in UTE and ZTE images and the average signal intensities were extracted. Lung-to-background signal ratios (LBR) were compared for both sequences and between both patient groups using non-parametric tests and correlation analysis. Anatomical region-of-interest (ROI) analysis was performed for the normal cohort for assessment of the anteroposterior lung gradient. Results There was no significant difference between LBR of normal lungs using UTE and ZTE (p < 0.05). Both sequences revealed a LBR age-dependency with a high negative correlation for UTE (Rs = – 0.77; range 2.98–1.41) and ZTE (Rs = – 0.82; range 2.66–1.38)). Signal-to-noise (SNR) and contrast-to-noise ratios (CNR) were age-dependent for both sequences. SNR was higher for children up to 2 years old with 3D UTE Cones while for the rest it was higher with 4D ZTE. CNR was similar for both sequences. Posterior lung areas exhibited higher signal intensity compared to anterior ones (UTE 9.4% and ZTE 12% higher), both with high correlation coefficients (R2UTE = 0.94, R2ZTE = 0.97). Conclusion The ZTE sequence can measure signal intensity similarly to UTE in pediatric patients. Both sequences reveal an age- and gravity-dependency of LBR.

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Editorial for “Clinical Potential of UTE‐MRI for Assessing the COVID‐19: Patient‐ and Lesion‐Based Comparative Analysis”

Cited by 2 publications

References 7 publications

Radiological and clinical spectrum of COVID-19: A major concern for public health

Radiological and clinical spectrum of COVID-19: A major concern for public health

Assessment of lung density in pediatric patients using three-dimensional ultrashort echo-time and four-dimensional zero echo-time sequences

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