Evidence map›Paper›PMID 35920093›Full record

ArticleBlood research2022

Chest multidetector computed tomography imaging of COVID-19 pneumonia patients with hematologic malignancies.

Adel El-Badrawy, Nada Elbadrawy

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Article in Blood research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Adel El-BadrawyDepartment of Radiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Nada ElbadrawyFaculty of Oral and Dental Medicine, Delta University for Science and Technology, Gamasa, Dakahlya, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Data on the association between coronavirus disease 2019 (COVID-19) and the epidemiology and outcomes of hematological malignancies are limited. Hence, the present study aimed to assess the imaging findings using chest multidetector computed tomography (MDCT) in patients with hematologic malignancies who developed COVID-19 pneumonia. Methods: This retrospective study included two groups, the first group consisted of COVID-19 infected patients with hematologic malignancies (100 patients), while the second group consisted of COVID-19 infected patients without hematologic malignancies or other comorbidities (100 patients). The hematological malignancies included in this study were non-Hodgkin's lymphoma (40 patients), acute myeloid leukemia (25 patients), chronic lymphocytic leukemia (15 patients), multiple myeloma (10 patients), Hodgkin's lymphoma (8 patients), and myelodysplastic syndrome (2 patients). Chest multidetector CT imaging was performed in all patients to assess for ground-glass opacity, consolidation, pleural effusion, and airway abnormalities. Results: More than one CT finding was reported in each patient. No significant difference was observed in the ground-glass opacities ( Conclusion: Early and reliable diagnosis of lung disease in COVID-19-infected patients may be achieved through multidetector CT imaging. Patients with hematological malignancies are more likely to have severe COVID-19 pneumonia, and radiologists should recognize the CT characteristics of this infection.

Indexed as

COVID-19Hematologic malignanciesMulti-detector computed tomographyPneumonia

Identifiers

PMID35920093
PMCPMC9492526

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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.