Correlation of Indeterminate Lesions of COVID-19 Pneumonia Detected on Computed Tomography with RT-PCR Results.


Journal

Current medical imaging
ISSN: 1573-4056
Titre abrégé: Curr Med Imaging
Pays: United Arab Emirates
ID NLM: 101762461

Informations de publication

Date de publication:
2022
Historique:
received: 21 05 2021
revised: 30 08 2021
accepted: 24 10 2021
pubmed: 13 1 2022
medline: 30 7 2022
entrez: 12 1 2022
Statut: ppublish

Résumé

The typical findings of COVID-19 pneumonia include multilobar groundglass opacities and consolidation areas observed predominantly in the basal and peripheral parts of both lungs in computed tomography. The current study aimed to correlate indeterminate lesions of COVID-19 pneumonia detected on computed tomography with the results of the reverse transcription-polymerase chain reaction (RT-PCR) test. Patients with high-resolution computed tomography images that were reported to contain indeterminate lesions in terms of COVID-19 pneumonia were included retrospectively in the study. The lesions were categorized and the patterns were classified. The RT-PCR-positive and the RTPCR- negative patients were compared. P<0.05 was accepted as the statistical significance limit. The RT-PCR-positive patients exhibited a higher rate of peripheral lesions. Limited consolidation areas were not detected in the RT-PCR-positive patients. In the RT-PCR-negative patients, the rates of acinar nodules and the tree-in-bud pattern were significantly higher. The RTPCR- negative patients had higher nodular contour features and lesion coalescence. In the subgroup consisting of lesions with ground-glass opacities and/or ground-glass opacity around the nodule, the rate of nodular contour positivity was significantly higher in the RT-PCR- positive patients. COVID-19 pneumonia should be suspected when peripheral indeterminate lesions are detected. When indeterminate lesions, such as tree-in-bud pattern, acinar nodules and limited consolidation area are detected, alternative diagnoses should be considered first, even if there are ground glass opacities accompanying these lesions.

Sections du résumé

BACKGROUND
The typical findings of COVID-19 pneumonia include multilobar groundglass opacities and consolidation areas observed predominantly in the basal and peripheral parts of both lungs in computed tomography.
OBJECTIVE
The current study aimed to correlate indeterminate lesions of COVID-19 pneumonia detected on computed tomography with the results of the reverse transcription-polymerase chain reaction (RT-PCR) test.
METHODS
Patients with high-resolution computed tomography images that were reported to contain indeterminate lesions in terms of COVID-19 pneumonia were included retrospectively in the study. The lesions were categorized and the patterns were classified. The RT-PCR-positive and the RTPCR- negative patients were compared. P<0.05 was accepted as the statistical significance limit.
RESULTS
The RT-PCR-positive patients exhibited a higher rate of peripheral lesions. Limited consolidation areas were not detected in the RT-PCR-positive patients. In the RT-PCR-negative patients, the rates of acinar nodules and the tree-in-bud pattern were significantly higher. The RTPCR- negative patients had higher nodular contour features and lesion coalescence. In the subgroup consisting of lesions with ground-glass opacities and/or ground-glass opacity around the nodule, the rate of nodular contour positivity was significantly higher in the RT-PCR- positive patients.
CONCLUSION
COVID-19 pneumonia should be suspected when peripheral indeterminate lesions are detected. When indeterminate lesions, such as tree-in-bud pattern, acinar nodules and limited consolidation area are detected, alternative diagnoses should be considered first, even if there are ground glass opacities accompanying these lesions.

Identifiants

pubmed: 35016596
pii: CMIR-EPUB-120077
doi: 10.2174/1573405618666220111095357
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

862-868

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Nevin Aydin (N)

Department of Radiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Çağatay Cihan (Ç)

Department of Radiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Tercan Us (T)

Department of Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Yasemin Öz (Y)

Department of Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Çiğdem Öztunalı (Ç)

Department of Radiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Şenay Yılmaz (Ş)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Füsun Alataş (F)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Sinan Erginel (S)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Emel Kurt (E)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Güntülü Ak (G)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

Hüseyin Yıldırım (H)

Department of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.

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