The impact of endoscopic sinus surgery on paranasal physiology in simulated sinus cavities

Jain, Ravi; Kumar, Haribalan; Tawhai, Merryn H.; Douglas, Richard

doi:10.1002/alr.21879

Cited by 15 publications

(10 citation statements)

References 38 publications

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“…It has been shown that the airflow into maxillary sinus was virtually zero before surgery (33,34) . However, after performing different sizes of virtual antrostomy, the airflow increased between 0.2% to 50.5%, depending on the antrostomy size.…”

Section: Thermal and Humidity Exchangementioning

confidence: 99%

The clinical implications of computerised fluid dynamic modelling in rhinology

Leite¹,

Jain²,

Douglas³

2018

Rhin

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Background:The nose is a dynamic organ and is the first point of contact between inhaled air and mucosal surfaces. Within the nasal cavity, there are changes of air flow and pressure occurring during the respiratory cycle, as well as exchanges of heat and humidity, and important immune responses to inhaled antigens and allergens.Methodology: This review is a summary for rhinologists covering what is known about airflow within the nose and sinuses and the impact of pathology and treatments on the physical environment of the nasal cavity. The review will concentrate largely on the significant contribution that computational fluid dynamics has had on this field. Results:The complex anatomical structure of the nasal cavity provides an aerodynamic environment that guides the airflow throughout the nasal cavities. However, anatomical or inflammatory changes can modify the air flow, heat and humidity exchanges, with negative consequences on nasal physiology. Restoration of normal airflow is a key goal to achieve success in the treatment of nasal diseases. Conclusions:Computational fluid dynamics is a method of analysis originating from engineering which has been adapted for rhinology. Although still an expensive and laborious technique, it may become a viable diagnostic tool in the future for studying nasal physiology.

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Section: Thermal and Humidity Exchangementioning

confidence: 99%

The clinical implications of computerised fluid dynamic modelling in rhinology

Leite¹,

Jain²,

Douglas³

2018

Rhin

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“…Images are shown from a normal subject and from two subjects with chronic rhinosinusitis before (preop) and after (postop) endoscopic sinus surgery and after an endoscopic Lothrop procedure ( ELP ). (Reprinted with permission from Ref . Copyright 2016 Wiley)…”

Section: Computational Fluid Dynamics In the Pulmonary Systemmentioning

confidence: 99%

“…inside the sinus. These changes are likely to have an impact on mucociliary function and microbial ecology . Postsurgical subjects are an interesting group to investigate but whose CT‐images are not often available.…”

Section: Application Of Computational Fluid Dynamics In the Nosementioning

confidence: 99%

“…These changes are likely to have an impact on mucociliary function and microbial ecology. 17 Postsurgical subjects are an interesting group to investigate but whose CT-images are not often available. Virtual surgery is becoming increasingly popular (in CFD studies) as an alternative and involves manual alterations of regions of the nose to mimic surgery.…”

Section: Application Of Computational Fluid Dynamics In the Nosementioning

confidence: 99%

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Image‐based computational fluid dynamics in the lung: virtual reality or new clinical practice?

Burrowes

Backer

Kumar

2017

WIREs Mechanisms of Disease

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The development and implementation of personalized medicine is paramount to improving the efficiency and efficacy of patient care. In the respiratory system, function is largely dictated by the choreographed movement of air and blood to the gas exchange surface. The passage of air begins in the upper airways, either via the mouth or nose, and terminates at the alveolar interface, while blood flows from the heart to the alveoli and back again. Computational fluid dynamics (CFD) is a well-established tool for predicting fluid flows and pressure distributions within complex systems. Traditionally CFD has been used to aid in the effective or improved design of a system or device; however, it has become increasingly exploited in biological and medical-based applications further broadening the scope of this computational technique. In this review, we discuss the advancement in application of CFD to the respiratory system and the contributions CFD is currently making toward improving precision medicine. The key areas CFD has been applied to in the pulmonary system are in predicting fluid transport and aerosol distribution within the airways. Here we focus our discussion on fluid flows and in particular on image-based clinically focused CFD in the ventilatory system. We discuss studies spanning from the paranasal sinuses through the conducting airways down to the level of the alveolar airways. The combination of imaging and CFD is enabling improved device design in aerosol transport, improved biomarkers of lung function in clinical trials, and improved predictions and assessment of surgical interventions in the nasal sinuses. WIREs Syst Biol Med 2017, 9:e1392. doi: 10.1002/wsbm.1392 For further resources related to this article, please visit the WIREs website.

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“…ESS can be used to reset the CRS with an altered bacterial population by opening the obstructed sinus ostium, thus allowing for mechanical disruption and drainage of the bacterial population, changing the physiology of the paranasal sinuses, and enabling better delivery of topical medications into the paranasal sinuses. In a computer simulation model by Jain et al., the effect of ESS on paranasal physiology and topical medication delivery was evaluated by comparing the preoperative and postoperative computed tomography (CT) images. The computer model demonstrated that with ESS, there would likely be a change in airflow, temperature, pressure, and water vapor in the operated sinuses.…”

mentioning

confidence: 99%

Editorial

Han¹

2017

Int Forum Allergy Rhinol

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The impact of endoscopic sinus surgery on paranasal physiology in simulated sinus cavities

Cited by 15 publications

References 38 publications

The clinical implications of computerised fluid dynamic modelling in rhinology

The clinical implications of computerised fluid dynamic modelling in rhinology

Image‐based computational fluid dynamics in the lung: virtual reality or new clinical practice?

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