Computational Fluid Dynamics as an Emerging Supporting Clinical Tool: Review on Human Airways
Rajneesh Kashyap, R. Thundil Karuppa Raj

TL;DR
This review highlights the potential of Computational Fluid Dynamics (CFD) as a supportive clinical tool for respiratory analysis, demonstrating its accuracy and usefulness in predicting airflow and aiding virtual surgeries.
Contribution
It provides a comprehensive review of recent high-quality studies showing CFD's accuracy and potential in clinical respiratory applications, including virtual surgery planning.
Findings
CFD results are as accurate as traditional pulmonary tests.
CFD can predict airflow and drug deposition patterns.
CFD enables virtual surgery simulations.
Abstract
Objectives: The main objective of this review article is to evaluate the usability of Computational Fluid Dynamics (CFD) as a supporting clinical tool for respiratory system. Data Source: The English articles referred for this review paper were identified from various International peer reviewed journals indexed in Science citation index. Study Selection: 26 high quality articles most relevant to the highlighted topic which were published in last fifteen years were selected from almost 120 articles. Results: The analysis done and the outcome obtained by this computational method is as accurate as Spirometry and Pulmonary function test (PFT) result. CFD can be very useful in the cases where patents is unable to perform PFT. Pressure drop, Velocity profile, Wall shear stress & other flow parameter, respiratory resistance, Pattern of drug deposition, Particles transport/deposition, etc.…
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Taxonomy
TopicsInhalation and Respiratory Drug Delivery
