Literature DB >> 26886215

Magnetic drug targeting through a realistic model of human tracheobronchial airways using computational fluid and particle dynamics.

Oveis Pourmehran1, Tahereh B Gorji2, Mofid Gorji-Bandpy1.   

Abstract

Magnetic drug targeting (MDT) is a local drug delivery system which aims to concentrate a pharmacological agent at its site of action in order to minimize undesired side effects due to systemic distribution in the organism. Using magnetic drug particles under the influence of an external magnetic field, the drug particles are navigated toward the target region. Herein, computational fluid dynamics was used to simulate the air flow and magnetic particle deposition in a realistic human airway geometry obtained by CT scan images. Using discrete phase modeling and one-way coupling of particle-fluid phases, a Lagrangian approach for particle tracking in the presence of an external non-uniform magnetic field was applied. Polystyrene (PMS40) particles were utilized as the magnetic drug carrier. A parametric study was conducted, and the influence of particle diameter, magnetic source position, magnetic field strength and inhalation condition on the particle transport pattern and deposition efficiency (DE) was reported. Overall, the results show considerable promise of MDT in deposition enhancement at the target region (i.e., left lung). However, the positive effect of increasing particle size on DE enhancement was evident at smaller magnetic field strengths (Mn [Formula: see text] 1.5 T), whereas, at higher applied magnetic field strengths, increasing particle size has a inverse effect on DE. This implies that for efficient MTD in the human respiratory system, an optimal combination of magnetic drug career characteristics and magnetic field strength has to be achieved.

Entities:  

Keywords:  CT scan imaging; Deposition efficiency; Discrete phase model (DPM); Human tracheobronchial airways model; Magnetic drug targeting; Non-uniform magnetic field

Mesh:

Year:  2016        PMID: 26886215     DOI: 10.1007/s10237-016-0768-3

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  7 in total

1.  Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways.

Authors:  Ali Farghadan; Kamran Poorbahrami; Sahar Jalal; Jessica M Oakes; Filippo Coletti; Amirhossein Arzani
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2.  The effect of heart failure and left ventricular assist device treatment on right ventricular mechanics: a computational study.

Authors:  Jun I K Park; Aulia Khamas Heikhmakhtiar; Chang Hyun Kim; Yoo Seok Kim; Seong Wook Choi; Kwang Soup Song; Ki Moo Lim
Journal:  Biomed Eng Online       Date:  2018-05-22       Impact factor: 2.819

Review 3.  A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition.

Authors:  Mohammad S Islam; Gunther Paul; Hui X Ong; Paul M Young; Y T Gu; Suvash C Saha
Journal:  Int J Environ Res Public Health       Date:  2020-01-07       Impact factor: 3.390

4.  Research on magnetic bead motion characteristics based on magnetic beads preset technology.

Authors:  Zhao Li; Xiangyang Zu; Zhe Du; Zhigang Hu
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

5.  Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis.

Authors:  Massimo Capoccia; Silvia Marconi; Sanjeet Avtaar Singh; Domenico M Pisanelli; Claudio De Lazzari
Journal:  Biomed Eng Online       Date:  2018-05-02       Impact factor: 2.819

Review 6.  Three-dimensional printing for cardiovascular diseases: from anatomical modeling to dynamic functionality.

Authors:  Hao Wang; Hongning Song; Yuanting Yang; Quan Cao; Yugang Hu; Jinling Chen; Juan Guo; Yijia Wang; Dan Jia; Sheng Cao; Qing Zhou
Journal:  Biomed Eng Online       Date:  2020-10-07       Impact factor: 2.819

7.  In Silico Study to Enhance Delivery Efficiency of Charged Nanoscale Nasal Spray Aerosols to the Olfactory Region Using External Magnetic Fields.

Authors:  Benjamin Li; Yu Feng
Journal:  Bioengineering (Basel)       Date:  2022-01-16
  7 in total

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