Management of patients with COVID-19 in radiology departments, and indications regarding imaging studies – recommendations of the Polish Medical Society of Radiology

Cieszanowski, Andrzej; Czekajska, E.; Giżycka, Barbara; Gruszczyńska, Katarzyna; Podgórska, Joanna; Oronowicz-Jaśkowiak, Agnieszka; Serafin, Zbigniew; Szurowska, Edyta; Walecki, Jerzy

doi:10.5114/pjr.2020.95022

Cited by 17 publications

(28 citation statements)

References 17 publications

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“…The only premise for pulmonary angiography CT was an elevated D-dimer level, which allows the assumption that some cases of concurrent PE and COVID-19-related pneumonia remain unrecognised in patients with mild or uncharacteristic symptoms of the disease. The only means of detection of pulmonary emboli is by broader diagnostic measures, and the imaging technique that should be applied for this purpose is chest angiography CT [15,16]. Our findings support the recommendation to use a prophylactic dose of LMWH in patients with confirmed COVID-19 even in the stable course of the disease with absence of major risk factors for coagulopathy [17].…”

Section: Discussionsupporting

confidence: 70%

Pulmonary embolism complicating the course of COVID-19 – an underestimated condition?

Pabjan¹,

Błoniarczyk²,

Stępień³

et al. 2020

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SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) was discovered in Wuhan, China at the end of 2019 and is believed to be the cause of COVID-19 (coronavirus disease 2019). There is some evidence that SARS-CoV-2 infection can be complicated by pulmonary embolism. However, the pathomechanism of this relation is not fully understood, and data are still limited. The real incidence of this condition is not known, and available papers in the literature on this issue comprise case presentations and one report from a prospective multicentre study published very recently. Pulmonary angiography computed tomography seems to play a crucial role, allowing early and proper diagnosis of this condition. The timely recognition of pulmonary embolism is essential for the implementation of anticoagulant treatment. Streszczenie Wirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) odkryty pod koniec 2019 r. w chińskim mieście Wuhan jest czynnikiem etiologicznym COVID-19 (coronavirus disease 2019). Zgodnie z doniesieniami piśmiennictwa przebieg kliniczny zakażenia SARS-CoV-2 może być powikłany zatorowością płucną. Patomechanizm występowania tego powikłania w przebiegu COVID-19 nie jest do końca poznany, a dane kliniczne dotyczące jego ryzyka i częstości występowania są bardzo skąpe. Dostępne prace na ten temat ograniczają się do opisów przypadków i jednego nowo opublikowanego raportu z wieloośrodkowego badania prospektywnego. Decydującą rolę w rozpoznaniu zatorowości płucnej odgrywa tomografia komputerowa naczyń krwionośnych klatki piersiowej. Wczesne rozpoznanie zatorowości płucnej jest kluczowe dla wdrożenia terapii przeciwkrzepliwej.

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Section: Discussionsupporting

confidence: 70%

Pulmonary embolism complicating the course of COVID-19 – an underestimated condition?

Pabjan¹,

Błoniarczyk²,

Stępień³

et al. 2020

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“…As the previous section discussed, COVID-19 uses four pathways (i.e., neuronal, hypoxia, RAAS, and immune) to cause critical heart and brain injuries in patients with comorbidities. The prevalence of myocardial injury and brain injury caused by COVID-19 [ 37 , [68] , [69] , [70] , 80 , [85] , [86] , [87] , [89] , [90] , [91] ] points to a need for increased use of medical imaging to expedite assessments, differential diagnoses, and patient management [ 35 , 36 , 92 ] with proper safety measures [ [93] , [94] , [95] , [96] , [97] ]. The seriousness of a patient's COVID-19 symptoms helps to determine which imaging modality is appropriate: portable or non-portable, and invasive or non-invasive.…”

Section: The Role Of Imaging In Comorbid Patients With Covid-19mentioning

confidence: 99%

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Suri¹,

Puvvula²,

Biswas³

et al. 2020

Computers in Biology and Medicine

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Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has infected over 10 million people, leading to over 500,000 deaths as of July 1 st , 2020 . Since the outbreak began, almost 28,000 articles about COVID-19 have been published ( https://pubmed.ncbi.nlm.nih.gov ); however, few have explored the role of imaging and artificial intelligence in COVID-19 patients—specifically, those with comorbidities. This paper begins by presenting the four pathways that can lead to heart and brain injuries following a COVID-19 infection. Our survey also offers insights into the role that imaging can play in the treatment of comorbid patients, based on probabilities derived from COVID-19 symptom statistics. Such symptoms include myocardial injury, hypoxia, plaque rupture, arrhythmias, venous thromboembolism, coronary thrombosis, encephalitis, ischemia, inflammation, and lung injury. At its core, this study considers the role of image-based AI, which can be used to characterize the tissues of a COVID-19 patient and classify the severity of their infection. Image-based AI is more important than ever as the pandemic surges and countries worldwide grapple with limited medical resources for detection and diagnosis.

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“…Despite imaging findings, it might be challenging to make a differential diagnosis of COVID-19 in some cases. In such cases, clinical and laboratory findings, being in the pandemic region, and contact history may contribute to the differential diagnosis (8,(32)(33)(34).…”

Section: Key Features In Ct Reportingmentioning

confidence: 99%

Thorax CT Findings in Novel Coronavirus Disease 2019 (COVID-19)

Atalar¹

2020

Erciyes Med J

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Novel coronavirus disease 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has high mortality rates. It has become a severe pandemic worldwide. Real-time PCR testing is still the gold standard test method for the definitive diagnosis of COVID-19 despite the possibility of false negatives. Radiological imaging methods, especially computed tomography (CT), are important assistant methods in the diagnosis and management of the disease. This review presents the role of CT in COVID-19 pneumonia, its diagnostic accuracy, thorax CT findings of the disease and differential diagnosis.

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Management of patients with COVID-19 in radiology departments, and indications regarding imaging studies – recommendations of the Polish Medical Society of Radiology

Cited by 17 publications

References 17 publications

Pulmonary embolism complicating the course of COVID-19 – an underestimated condition?

Pulmonary embolism complicating the course of COVID-19 – an underestimated condition?

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Thorax CT Findings in Novel Coronavirus Disease 2019 (COVID-19)

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