Literature DB >> 29264667

Airflow Simulations in Infant, Child, and Adult Pulmonary Conducting Airways.

Jessica M Oakes1, Steven C Roth2, Shawn C Shadden2.   

Abstract

The airway structure continuously evolves from birth to adulthood, influencing airflow dynamics and respiratory mechanics. We currently know very little about how airflow patterns change throughout early life and its impact on airway resistance, namely because of experimental limitations. To uncover differences in respiratory dynamics between age groups, we performed subject-specific airflow simulations in an infant, child, and adult conducting airways. Airflow throughout the respiration cycle was calculated by coupling image-based models of the conducting airways to the global respiratory mechanics, where flow was driven by a pressure differential. Trachea diameter was 19, 9, and 4.5 mm for the adult (36 years, female), child (6 years, male), and infant (0.25 years, female), respectively. Mean Reynolds number within the trachea was nearly the same for each subject (1100) and Womersley number was above unity for all three subjects and largest for the adult, highlighting the significance of transient effects. In general, air speeds and airway resistances within the conducting airways were inversely correlated with age; the 3D pressure drop was highest in the infant model. These simulations provide new insight into age-dependent flow dynamics throughout the respiration cycle within subject-specific airways.

Entities:  

Keywords:  Computational fluid dynamics (CFD); Inspiration and expiration; Lung; Multi-scale

Mesh:

Year:  2017        PMID: 29264667     DOI: 10.1007/s10439-017-1971-9

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  8 in total

1.  Multiscale in silico lung modeling strategies for aerosol inhalation therapy and drug delivery.

Authors:  Pantelis Koullapis; Bo Ollson; Stavros C Kassinos; Josué Sznitman
Journal:  Curr Opin Biomed Eng       Date:  2019-11-13

2.  Computational Fluid Dynamics Modeling of Respiratory Airflow in Tracheobronchial Airways of Infant, Child, and Adult.

Authors:  Endalew Getnet Tsega
Journal:  Comput Math Methods Med       Date:  2018-10-31       Impact factor: 2.238

3.  Functional analysis of the airways after pulmonary lobectomy through computational fluid dynamics.

Authors:  Lorenzo Aliboni; Marta Tullio; Francesca Pennati; Antonella Lomauro; Rosaria Carrinola; Gianpaolo Carrafiello; Mario Nosotti; Alessandro Palleschi; Andrea Aliverti
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.379

4.  Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts.

Authors:  Mohammad S Islam; Tianxin Fang; Callum Oldfield; Puchanee Larpruenrudee; Hamidreza Mortazavy Beni; Md M Rahman; Shahid Husain; Yuantong Gu
Journal:  Int J Environ Res Public Health       Date:  2022-08-20       Impact factor: 4.614

5.  A whole lung in silico model to estimate age dependent particle dosimetry.

Authors:  Kamran Poorbahrami; Irene E Vignon-Clementel; Shawn C Shadden; Jessica M Oakes
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

6.  Targeting inhaled aerosol delivery to upper airways in children: Insight from computational fluid dynamics (CFD).

Authors:  Prashant Das; Eliram Nof; Israel Amirav; Stavros C Kassinos; Josué Sznitman
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

7.  Structural and functional alterations of the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer.

Authors:  Qingtao Gu; Shouliang Qi; Yong Yue; Jing Shen; Baihua Zhang; Wei Sun; Wei Qian; Mohammad Saidul Islam; Suvash C Saha; Jianlin Wu
Journal:  Biomed Eng Online       Date:  2019-10-25       Impact factor: 2.819

8.  Polydisperse Aerosol Transport and Deposition in Upper Airways of Age-Specific Lung.

Authors:  Mohammad S Islam; Puchanee Larpruenrudee; Sheikh I Hossain; Mohammad Rahimi-Gorji; Yuantong Gu; Suvash C Saha; Gunther Paul
Journal:  Int J Environ Res Public Health       Date:  2021-06-09       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.