COVID-19 Protection Guidelines in Outpatient Medical Imaging Centers

Sedaghat, Abdolrasul; Gity, Masoumeh; Radpour, Alireza; Karimi, Meghdad; Haghighatkhah, Hamid Reza; Keshavarz, Elham; Hekmatnia, Ali; Ahmadi, Mehran Arab; Sanei-Taheri, Morteza; Azhideh, Arash

doi:10.1016/j.acra.2020.04.019

Cited by 5 publications

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“…From another aspect, decontamination of imaging devices and suites should be considered. Recently, the ACR published guidance on this issue (6), recommending that while cleaning and disinfection protocols are greatly dependent on the clinical circumstances of each individual setting, 60-minute downtime is generally required accompanied with cleaning of all at-reach surfaces in a particular pattern with approved disinfectant agents (8,9,12). It is important to note that the CT gantry is larger than the MRI gantry and thus, this may increase the possible contamination of the MR machine with COVID-19 patients' droplets.…”

Section: Dear Editormentioning

confidence: 99%

Neurologic Involvement in COVID-19: Radiologists’ Perspective

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Section: Dear Editormentioning

confidence: 99%

Neurologic Involvement in COVID-19: Radiologists’ Perspective

et al. 2020

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“…Another potential mechanism suggested was the infectionmediated immune response that induced raised serum pro-inflammatory cytokines resulting in damage to the skeletal muscles. 34,35 It should be remembered, however, that in addition to increased muscle enzymes, patients in the seriously ill the community also had raised liver enzymes and disordered renal functions that may have driven to this clinical feature. 36,37 Besides, no clear confirmatory diagnostic study such as NCS/EMG or muscle cell histopathology has been done.…”

Section: Skeletal Muscle Damagementioning

confidence: 99%

Neurological Manifestation of COVID-19: A Literature Review

Azhideh

Menbari-Oskouieid

Yousefi-Asl

2020

Int Clin Neurosci J

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, the new noronavirus (COVID-19) burst occurred in China. 1,2 Chinese governments announced new undetermined etiology subjects of pneumonia. 3 At first, all patients were concentrated into the wholesale market of Wuhan seafood. It was reported a pandemic by the World Health Organization (WHO), on 11 March 2020. There are far beyond 8 million validated COVID-19 cases beside 700,000 deaths worldwide as of August 16, 2020. 4,5 COVID-19 created a vast deal of importance amid researchers, scientists, and physicians around the world. 6 The volume of work being performed and the quantity of papers written on COVID-19 is unparalleled. Hundreds of manuscripts were estimated to be published upon this subject from the beginning of the year. 7 Data have begun to emerge on various features of prevention, transmission, pathology, disease manifestations, and management strategies. 8-10 Although COVID-19 has a beneficial effect on the respiratory and cardiovascular system, many COVID-19 patients are additionally prone to neurological manifestations (such as neuralgia, hypogeusia, dizziness, and headache) and complexities including acute cerebrovascular diseases, encephalopathy, skeletal muscle injury, and impaired consciousness. 11,12 We are offering a systematic study of COVID-19's clinical manifestations and complications. They aim to educate the neurologists, and doctors dealing with presumed COVID-19 patients on potential neurological symptoms and the likely neurological problems arising from this novel infection with the virus. Literature Search Strategy We searched PubMed Central, Medline, and Google scholar using the keywords "pandemic", " COVID-19", "neurology", "complications", "SARS-COV-2", "Coronavirus", and "manifestations". Single English language scripts without time-end were looking. The latest scan of the literature was conducted on August 1st, 2020. It is essential to remember that fresh data are frequently exchanged and so considerably it consists generally of preprints, small case collection, case reports, and part of an article discussing COVID-19 clinical characteristics. Most of the COVID-19 evidence is released from Wuhan city, China. 13 At the time of writing this paper, we were capable to find in-depth hardly 34

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“…As of August 31, Beijing time, China, 219 million people worldwide have novel coronavirus pneumonia and 4 million 480 thousand deaths have been reported [4,5]. Medical imaging [6][7][8] has become an indispensable part of disease diagnosis and treatment. The latest research shows that with the development of medical imaging, the computed tomography (CT) [9][10][11][12] and X-ray images [13][14][15] can effectively assist doctors to judge the COVID-19 infection status.…”

Section: Introductionmentioning

confidence: 99%

COVID-RDNet: A novel coronavirus pneumonia classification model by the mixed dataset

Fang

Wang

2022

Preprint

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Due to the diversity and complexity of corona virus disease 2019 (COVID-19), medical imaging plays an increasingly important role. The CT images have good timeliness and positive sensitivity, but the price is relatively expensive. Conversely, X-ray images have the characteristics of fast imaging speed and less radiation damage to the human body. To ensure the authenticity and effectiveness of the proposed network in detecting negative and positive COVID-19, a mixed dataset is created through public X-ray and CT images. To solve the problem of feature similarity between the lung diseases and the COVID-19, the extracted features are enhanced by an adaptive region enhancement algorithm. Besides, the depth network based on the residual blocks and the Dense blocks is trained and tested. The residual blocks effectively improve the accuracy of the model and the non-linear COVID-19 features are obtained by cross-layer link. The Dense blocks effectively improve the robustness of the model by connecting local and abstract information. The sensitivity, specificity, PPV, NPV, AUC, and accuracy can reach 0.99 on the mixed X-ray and CT dataset. The proposed COVID-RDNet model has good negative and positive COVID-19 classification performance, which can assist doctors to judge the infection status of patients.

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COVID-19 Protection Guidelines in Outpatient Medical Imaging Centers

Cited by 5 publications

References 4 publications

Neurologic Involvement in COVID-19: Radiologists’ Perspective

Neurologic Involvement in COVID-19: Radiologists’ Perspective

Neurological Manifestation of COVID-19: A Literature Review

COVID-RDNet: A novel coronavirus pneumonia classification model by the mixed dataset

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