Lung CT stabilization with high-frequency non-invasive ventilation (HF-NIV) and breath-hold (BH) in lung nodule assessment by PET/CT.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_44E3EB4BF6E2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Lung CT stabilization with high-frequency non-invasive ventilation (HF-NIV) and breath-hold (BH) in lung nodule assessment by PET/CT.
Périodique
European journal of hybrid imaging
Auteur⸱e⸱s
Jreige M., Darçot E., Lovis A., Simons J., Nicod-Lalonde M., Schaefer N., Buela F., Long O., Beigelman-Aubry C. (co-dernier), Prior J.O. (co-dernier)
ISSN
2510-3636 (Electronic)
ISSN-L
2510-3636
Statut éditorial
Publié
Date de publication
04/09/2023
Peer-reviewed
Oui
Volume
7
Numéro
1
Pages
16
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
To evaluate the effect of lung stabilization using high-frequency non-invasive ventilation (HF-NIV) and breath-hold (BH) techniques on lung nodule detection and texture assessment in PET/CT compared to a free-breathing (FB) standard lung CT acquisition in PET/CT.
Six patients aged 65 ± 7 years, addressed for initial assessment of at least one suspicious lung nodule with <sup>18</sup> F-FDG PET/CT, underwent three consecutive lung PET/CT acquisitions with FB, HF-NIV and BH. Lung nodules were assessed on all three CT acquisitions of the PET/CT and characterized for any size, volume and solid/sub-solid nature.
BH detected a significantly higher number of nodules (n = 422) compared to HF-NIV (n = 368) and FB (n = 191) (p < 0.001). The mean nodule size (mm) was 2.4 ± 2.1, 2.6 ± 1.9 and 3.2 ± 2.4 in BH, HF-NIV and FB, respectively, for long axis and 1.5 ± 1.3, 1.6 ± 1.2 and 2.1 ± 1.7 in BH, HF-NIV and FB, respectively, for short axis. Long- and short-axis diameters were significantly different between BH and FB (p < 0.001) and between HF-NIV and FB (p < 0.001 and p = 0.008), but not between BH and HF-NIV. A trend for higher volume was shown in FB compared to BH (p = 0.055) and HF-NIV (p = 0.068) without significant difference between BH and HF-NIV (p = 1). We found a significant difference in detectability of sub-solid nodules between the three acquisitions, with BH showing a higher number of sub-solid nodules (n = 128) compared to HF-NIV (n = 72) and FB (n = 44) (p = 0.002).
We observed a higher detection rate of pulmonary nodules on CT under BH or HF-NIV conditions applied to PET/CT than with FB. BH and HF-NIV demonstrated comparable texture assessment and performed better than FB in assessing size and volume. BH showed a better performance for detecting sub-solid nodules compared to HF-NIV and FB. The addition of BH or HF-NIV to PET/CT can help improve the detection and texture characterization of lung nodules by CT, therefore improving the accuracy of oncological lung disease assessment. The ease of use of BH and its added value should prompt its use in routine practice.
Mots-clé
Radiology, Nuclear Medicine and imaging, Molecular Medicine, Biophysics, Computer Science (miscellaneous), FDG, HF-NIV, PET/CT, Pulmonary nodules
Pubmed
Web of science
Open Access
Oui
Financement(s)
Fonds national suisse / 320030-176241
Université de Lausanne
Création de la notice
11/09/2023 17:20
Dernière modification de la notice
21/02/2024 8:16
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