Ultra-low-dose vs. standard-of-care-dose CT of the chest in patients with post-COVID-19 conditions-a prospective intra-patient multi-reader study.

Computed tomography Diagnostic accuracy Lung Post-COVID Ultra-low-dose CT

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
09 May 2024
Historique:
received: 15 12 2023
accepted: 18 03 2024
revised: 10 03 2024
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 9 5 2024
Statut: aheadofprint

Résumé

To conduct an intrapatient comparison of ultra-low-dose computed tomography (ULDCT) and standard-of-care-dose CT (SDCT) of the chest in terms of the diagnostic accuracy of ULDCT and intrareader agreement in patients with post-COVID conditions. We prospectively included 153 consecutive patients with post-COVID-19 conditions. All participants received an SDCT and an additional ULDCT scan of the chest. SDCTs were performed with standard imaging parameters and ULDCTs at a fixed tube voltage of 100 kVp (with tin filtration), 50 ref. mAs (dose modulation active), and iterative reconstruction algorithm level 5 of 5. All CT scans were separately evaluated by four radiologists for the presence of lung changes and their consistency with post-COVID lung abnormalities. Radiation dose parameters and the sensitivity, specificity, and accuracy of ULDCT were calculated. Of the 153 included patients (mean age 47.4 ± 15.3 years; 48.4% women), 45 (29.4%) showed post-COVID lung abnormalities. In those 45 patients, the most frequently detected CT patterns were ground-glass opacities (100.0%), reticulations (43.5%), and parenchymal bands (37.0%). The accuracy, sensitivity, and specificity of ULDCT compared to SDCT for the detection of post-COVID lung abnormalities were 92.6, 87.2, and 94.9%, respectively. The median total dose length product (DLP) of ULDCTs was less than one-tenth of the radiation dose of our SDCTs (12.6 mGy*cm [9.9; 15.5] vs. 132.1 mGy*cm [103.9; 160.2]; p < 0.001). ULDCT of the chest offers high accuracy in the detection of post-COVID lung abnormalities compared to an SDCT scan at less than one-tenth the radiation dose, corresponding to only twice the dose of a standard chest radiograph in two views. Ultra-low-dose CT of the chest may provide a favorable, radiation-saving alternative to standard-dose CT in the long-term follow-up of the large patient cohort of post-COVID-19 patients.

Identifiants

pubmed: 38724764
doi: 10.1007/s00330-024-10754-z
pii: 10.1007/s00330-024-10754-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Christian Wassipaul (C)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Daria Kifjak (D)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Department of Radiology, UMass Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA.

Ruxandra-Iulia Milos (RI)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Florian Prayer (F)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Imaging Verbund, Vienna, Austria.

Sebastian Roehrich (S)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
contextflow GmbH, Vienna, Austria.

Melanie Winter (M)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Lucian Beer (L)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Martin L Watzenboeck (ML)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Svitlana Pochepnia (S)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Michael Weber (M)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Dietmar Tamandl (D)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Peter Homolka (P)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Wolfgang Birkfellner (W)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Helmut Ringl (H)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Department of Diagnostic and Interventional Radiology, Clinic Donaustadt, Vienna Healthcare Group, Vienna, Austria.

Helmut Prosch (H)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Benedikt H Heidinger (BH)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria. benedikt.heidinger@meduniwien.ac.at.

Classifications MeSH