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Chest computed tomography findings do not influence the decision of pneumologists regarding the diagnosis and management of pulmonary long coronavirus disease: a single center retrospective study
Meiler, Stefanie
, Schmalenberger, Daniel, Malfertheiner, Maximilian
, Dvorak, Iris, Strotzer, Quirin
, Stroszczynski, Christian
and Hamer, Okka Wilkea
(2025)
Chest computed tomography findings do not influence the decision of pneumologists regarding the diagnosis and management of pulmonary long coronavirus disease: a single center retrospective study.
Journal of Thoracic Disease 17 (8), pp. 5654-5662.
Date of publication of this fulltext: 22 Sep 2025 15:54
Article
DOI to cite this document: 10.5283/epub.77798
Abstract
Background: Pulmonary symptoms are common in long coronavirus disease (COVID), yet the diagnostic value of chest computed tomography (CT) in these patients remains unclear, particularly when physical examination and pulmonary function tests are normal. This study investigates whether chest CT influences the decision of pneumologists regarding the measures taken for diagnostic work-up, the final ...
Background: Pulmonary symptoms are common in long coronavirus disease (COVID), yet the diagnostic value of chest computed tomography (CT) in these patients remains unclear, particularly when physical examination and pulmonary function tests are normal. This study investigates whether chest CT influences the decision of pneumologists regarding the measures taken for diagnostic work-up, the final diagnosis, the confidence in the diagnosis, and the downstream management of patients suspected to suffer from pulmonary long COVID.
Methods: All patients presented in a dedicated long COVID outpatient clinic of a secondary care hospital that specializes in lung diseases between April 2020 and August 2021. Inclusion criteria were age ≥18 years, suspicion for long COVID syndrome of pulmonary origin according to the National Institute for Health and Care Excellence (NICE) criteria and availability of a chest CT acquired during work-up. Three pneumologists evaluated the patient’s records in two rounds (round 1 without and round 2 with knowledge of CT results). Identical parameters were queried in the two runs: diagnosis of pulmonary long COVID, confidence of the diagnosis on a scale from 0 to 3, need for: bronchoalveolar lavage (BAL), transbronchial biopsy (TBB), cryobiopsy, video-assisted thoracoscopy (VATS), ergospirometry, ventilation/perfusion scintigraphy, follow-up appointment, rehabilitation.
Results: Forty-one patients were included (24 male; age 21 to 72 years, mean 55 years). In the first and second round diagnosis of pulmonary long COVID was made in an average of 10 (24%) and 11 (27%) patients (P=0.69). Confidence of diagnosis was 1.9 and 2.6 (P<0.001). No statistical difference was found regarding the frequency of diagnostic measures and downstream management.
Conclusions: Chest CT did not influence the diagnostic decision of pneumologists for patients suspected to suffer from pulmonary long COVID. However, the confidence in the diagnosis was improved by chest CT. Still, based on our results chest CT does not routinely have to be included in the work-up of long COVID, when pulmonary function tests and auscultation are normal.
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| Item type | Article | ||||
| Journal or Publication Title | Journal of Thoracic Disease | ||||
| Publisher: | AME | ||||
|---|---|---|---|---|---|
| Open Access Type: | Gold (with APC) | ||||
| Volume: | 17 | ||||
| Number of Issue or Book Chapter: | 8 | ||||
| Page Range: | pp. 5654-5662 | ||||
| Date | 28 August 2025 | ||||
| Institutions | Medicine > Lehrstuhl für Röntgendiagnostik | ||||
| Identification Number |
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| Keywords | High resolution computed tomography (HRCT); interstitial lung disease (ILD); long coronavirus disease (long COVID); downstream management | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-777989 | ||||
| Item ID | 77798 |
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