Evidence map›Paper›PMID 40091990›Full record

ArticleCureus2025

A Retrospective Analysis of Chest Radiographic Patterns in Patients With COVID-19.

Narender Singh, Saroj Kumar Pati, Narendra Kuber Bodhey, Sajal De, Ajoy K Behera

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Article in Cureus, 2025. 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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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

5 authors.

Narender SinghRadiodiagnosis, All India Institute of Medical Sciences, Raipur, IND.
Saroj Kumar PatiRadiodiagnosis, All India Institute of Medical Sciences, Raipur, IND.
Narendra Kuber BodheyRadiodiagnosis, All India Institute of Medical Sciences, Raipur, IND.
Sajal DePulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, Raipur, IND.
Ajoy K BeheraPulmonary Medicine and Tuberculosis, All India Institute of Medical Sciences, Raipur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest radiography is often the most utilized and primary investigation for patients with COVID-19 pneumonia, however, only limited studies are available evaluating its essence. Therefore, we retrospectively analyzed various chest radiographic patterns in patients with COVID-19 and correlated the radiographic severity index with clinical severity and laboratory parameters.

methodsIn this retrospective study, radiographs of 512 COVID-19 patients diagnosed with pneumonia were assessed, out of which 289 patients satisfying inclusion and exclusion criteria were recruited for the study. The spectrum of radiographic findings was compared with the contemporary clinical and laboratory records.

resultsGround glass opacities (GGOs; 250/289, 86.5%) and consolidations (166/289, 57.4%) were the most common findings seen in radiographs, with the most common distributions being "basal and peripheral" (92/289, 31.9%), followed by "non-specific pattern" (73/289, 25.3%), "basal" (60/289, 20.8%), and "peripheral" (48/289, 16.6%) patterns. A statistically significant association was seen between the clinical and radiographic severity scores and in-hospital mortality and radiographic severity scores. Also, a statistically significant association was seen between the radiographic severity score and various laboratory parameters (i.e., white blood cell (WBC) count, lactate dehydrogenase (LDH), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR)).

conclusionWith this study, we concluded that specific patterns of lung involvement were seen in patients with COVID-19 and that radiographic severity scores correlated well with the clinical severity and laboratory parameters. Hence, in our opinion, chest radiography could be a useful tool for stratifying disease severity and differentiating between severe and non-severe COVID-19 pneumonia.

Indexed as

chest radiographyconsolidationcovid-19 pneumoniaground glass opacitiesmodified rales

Identifiers

PMID40091990
PMCPMC11910160

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