Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Apr;35(4):2265-2274.
doi: 10.1007/s00330-024-11075-x. Epub 2024 Sep 23.

Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities

Affiliations

Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities

Jong Eun Lee et al. Eur Radiol. 2025 Apr.

Abstract

Objective: Distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities (ILA) on CT can be challenging if clinical information is limited. This study aimed to evaluate the diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from ILA.

Methods: This multi-reader, multi-case study included 60 age- and sex-matched subjects with chest CT scans. There were 40 cases of ILA (20 fibrotic and 20 non-fibrotic) and 20 cases of post-COVID-19 residual abnormalities. Fifteen radiologists from multiple nations with varying levels of experience independently rated suspicion scores on a 5-point scale to distinguish post-COVID-19 residual abnormalities from fibrotic ILA or non-fibrotic ILA. Interobserver agreement was assessed using the weighted κ value, and the scores of individual readers were compared with the consensus of all readers. Receiver operating characteristic curve analysis was conducted to evaluate the diagnostic performance of suspicion scores for distinguishing post-COVID-19 residual abnormalities from ILA and for differentiating post-COVID-19 residual abnormalities from both fibrotic and non-fibrotic ILA.

Results: Radiologists' diagnostic performance for distinguishing post-COVID-19 residual abnormalities from ILA was good (area under the receiver operating characteristic curve (AUC) range, 0.67-0.92; median AUC, 0.85) with moderate agreement (κ = 0.56). The diagnostic performance for distinguishing post-COVID-19 residual abnormalities from non-fibrotic ILA was lower than that from fibrotic ILA (median AUC = 0.89 vs. AUC = 0.80, p = 0.003).

Conclusion: Radiologists demonstrated good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA, but careful attention is needed to avoid misdiagnosing them as non-fibrotic ILA.

Key points: Question How good are radiologists at differentiating interstitial lung abnormalities (ILA) from changes related to COVID-19 infection? Findings Radiologists had a median AUC of 0.85 in distinguishing post-COVID-19 abnormalities from ILA with moderate agreement (κ = 0.56). Clinical relevance Radiologists showed good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA; nonetheless, caution is needed in distinguishing residual abnormalities from non-fibrotic ILA.

Keywords: COVID-19; Diagnostic imaging; Lung diseases, Interstitial; Tomography, X-ray computed.

PubMed Disclaimer

Conflict of interest statement

Compliance with ethical standards. Guarantor: The scientific guarantor of this publication is J.E.L. Conflict of interest: H.P. is a deputy editor of European Radiology. They have not participated in the selection nor review processes for this article. S.H.Y. has stocks and stock options in MEDICAL IP. The remaining authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. Statistics and biometry: No complex statistical methods were necessary for this paper. Informed consent: Written informed consent was waived by the Institutional Review Board. Ethical approval: Institutional Review Board approval was obtained. Study subjects or cohorts overlap: The authors declare that there are no overlapping study subjects or cohorts that have been previously reported in any other study. Methodology: Retrospective Diagnostic study Performed at one institution

Figures

Fig. 1
Fig. 1
Flow diagram of the study
Fig. 2
Fig. 2
a Representative case of post-COVID-19 residual abnormalities. Unenhanced HRCT images show extensive GGO as the predominant finding, with a peribronchovascular distribution. Perilobular opacities (red squares) and parenchymal bands (arrows) are also present. b Representative case of non-fibrotic ILA. HRCT images show GGO as the predominant finding, with a subpleural and basal distribution (red squares). c Representative case of fibrotic ILA. HRCT images show reticulation as the predominant finding, with a subpleural and basal distribution. Traction bronchiolectasis (arrow) and non-emphysematous cysts (arrowheads) are also present
Fig. 3
Fig. 3
Receiver operating characteristic (ROC) curves for the classification of post-COVID-19 residual abnormalities and interstitial lung abnormalities (ILA) for each reader. Each curve represents the performance of a different reader, and the legend indicates the area under the curve (AUC) value for each reader’s ROC curve. Higher AUC values indicate better performance in distinguishing between the two conditions. The diagonal gray line represents the chance level, which is the expected performance of a random classifier
Fig. 4
Fig. 4
Bar graph showing the distribution of incorrect answers provided by each reader. When the true diagnosis was post-COVID-19 residual abnormalities, the most common incorrect answer given by the readers was “non-fibrotic ILA.” When the true diagnosis was non-fibrotic ILA, the most common incorrect answer was “post-COVID-19 residual abnormalities”

Similar articles

Cited by

References

    1. World Health Organization (WHO) COVID-19 dashboard. https://data.who.int/dashboards/covid19/cases/. Accessed March, 2023
    1. Fabbri L, Moss S, Khan FA et al (2023) Parenchymal lung abnormalities following hospitalisation for COVID-19 and viral pneumonitis: a systematic review and meta-analysis. Thorax 78:191–201 - PubMed
    1. Stewart I, Jacob J, George PM et al (2023) Residual lung abnormalities after COVID-19 hospitalization: interim analysis of the UKILD post–COVID-19 study. Am J Respir Crit Care Med 207:693–703 - PMC - PubMed
    1. Zhang P, Li J, Liu H et al (2020) Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: a 15-year follow-up from a prospective cohort study. Bone Res 8:8 - PMC - PubMed
    1. Burnham EL, Janssen WJ, Riches DW, Moss M, Downey GP (2014) The fibroproliferative response in acute respiratory distress syndrome: mechanisms and clinical significance. Eur Respir J 43:276–285 - PMC - PubMed