Literature DB >> 18518795

Recent advances in predictive understanding of respiratory tract deposition.

Warren H Finlay1, Andrew R Martin.   

Abstract

Accurate prediction of respiratory tract deposition is important in gauging the health risks of ambient bioaerosols and environmental aerosols, as well as in developing pharmaceutical aerosols for drug delivery. The present article highlights recent advances in the prediction of total, extrathoracic, and lung deposition fractions of inhaled aerosols over a broad range of parameters for both oral and nasal breathing. These advances build on recent data from in vivo and in vitro studies that have benefited from recent improvements in high-resolution imaging, rapid prototyping, and computational simulation abilities that have significantly enhanced the current understanding of respiratory tract deposition. It is anticipated that the relatively simple equations for predicting total or whole lung deposition that follow from the recent work discussed herein will allow for improved correlation between respiratory tract deposition and a wide range of health outcomes.

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Year:  2008        PMID: 18518795     DOI: 10.1089/jamp.2007.0645

Source DB:  PubMed          Journal:  J Aerosol Med Pulm Drug Deliv        ISSN: 1941-2711            Impact factor:   2.849


  18 in total

1.  Importance of airway geometry and respiratory parameters variability for particle deposition in the human respiratory tract.

Authors:  Tomasz R Sosnowski
Journal:  J Thorac Dis       Date:  2011-09       Impact factor: 2.895

Review 2.  Devices for Improved Delivery of Nebulized Pharmaceutical Aerosols to the Lungs.

Authors:  Worth Longest; Benjamin Spence; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2019-07-09       Impact factor: 2.849

Review 3.  Essentials for aerosol delivery to term and pre-term infants.

Authors:  Andrew R Clark
Journal:  Ann Transl Med       Date:  2021-04

4.  Development of an infant complete-airway in vitro model for evaluating aerosol deposition.

Authors:  Karl Bass; P Worth Longest
Journal:  Med Eng Phys       Date:  2018-06-22       Impact factor: 2.242

5.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

Review 6.  In silico models of aerosol delivery to the respiratory tract - development and applications.

Authors:  P Worth Longest; Landon T Holbrook
Journal:  Adv Drug Deliv Rev       Date:  2011-05-27       Impact factor: 15.470

Review 7.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

8.  Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.

Authors:  Geng Tian; Michael Hindle; Sau Lee; P Worth Longest
Journal:  Pharm Res       Date:  2015-05-06       Impact factor: 4.200

9.  Comparison of in vitro deposition of pharmaceutical aerosols in an idealized child throat with in vivo deposition in the upper respiratory tract of children.

Authors:  Conor A Ruzycki; Laleh Golshahi; Reinhard Vehring; Warren H Finlay
Journal:  Pharm Res       Date:  2014-01-07       Impact factor: 4.200

10.  Concentrated ambient fine particles and not ozone induce a systemic interleukin-6 response in humans.

Authors:  Bruce Urch; Mary Speck; Paul Corey; David Wasserstein; Michael Manno; Karl Z Lukic; Jeffrey R Brook; Ling Liu; Brent Coull; Joel Schwartz; Diane R Gold; Frances Silverman
Journal:  Inhal Toxicol       Date:  2010-02       Impact factor: 2.724

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