Scientific article
OA Policy
English

Quantitative Imaging of Regional Aerosol Deposition, Lung Ventilation and Morphology by Synchrotron Radiation CT

Published inScientific Reports, vol. 8, no. 1, 3519
Publication date2018
Abstract

To understand the determinants of inhaled aerosol particle distribution and targeting in the lung, knowledge of regional deposition, lung morphology and regional ventilation, is crucial. No single imaging modality allows the acquisition of all such data together. Here we assessed the feasibility of dual-energy synchrotron radiation imaging to this end in anesthetized rabbits; both in normal lung (n = 6) and following methacholine (MCH)-induced bronchoconstriction (n = 6), a model of asthma. We used K-edge subtraction CT (KES) imaging to quantitatively map the regional deposition of iodine-containing aerosol particles. Morphological and regional ventilation images were obtained, followed by quantitative regional iodine deposition maps, after 5 and 10 minutes of aerosol administration. Iodine deposition was markedly inhomogeneous both in normal lung and after induced bronchoconstrition. Deposition was significantly reduced in the MCH group at both time points, with a strong dependency on inspiratory flow in both conditions (R2 = 0.71; p < 0.0001). We demonstrate for the first time, the feasibility of KES CT for quantitative imaging of lung deposition of aerosol particles, regional ventilation and morphology. Since these are among the main factors determining lung aerosol deposition, we expect this imaging approach to bring new contributions to the understanding of lung aerosol delivery, targeting, and ultimately biological efficacy.

Citation (ISO format)
PORRA, L et al. Quantitative Imaging of Regional Aerosol Deposition, Lung Ventilation and Morphology by Synchrotron Radiation CT. In: Scientific Reports, 2018, vol. 8, n° 1, p. 3519. doi: 10.1038/s41598-018-20986-x
Main files (1)
Article (Published version)
accessLevelPublic
Identifiers
Journal ISSN2045-2322
406views
181downloads

Technical informations

Creation18/09/2018 14:54:00
First validation18/09/2018 14:54:00
Update time20/01/2025 09:18:32
Status update20/01/2025 09:18:32
Last indexation20/01/2025 09:32:40
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack