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An Interactive, Patient-Specific Virtual Surgical Planning System for Upper Airway Obstruction Treatments. Annu Int Conf IEEE Eng Med Biol Soc 2018 Jul;2018:5802-5805

Date

11/18/2018

Pubmed ID

30441654

Pubmed Central ID

PMC6241290

DOI

10.1109/EMBC.2018.8513672

Scopus ID

2-s2.0-85056574521 (requires institutional sign-in at Scopus site)   2 Citations

Abstract

Upper airway obstructions leading todifficulty breathing are significant problems that often require surgery to improve patient quality of life. However, these surgeries often have poor outcomes with little symptom improvement. This paper outlines the design of an interactive, patient-specific virtual surgical planning system that uses patient CT scans to generate three-dimensional representations of the airways and incorporates computational fluid dynamics (CFD) as a part of the surgical planning process. Individualized virtual surgeries can be performed by editing these models, which are then analyzed using CFD to compare pre- and post- surgery flow characteristics to assess patient symptom improvement. The prototype system shows significant promise by being intuitive, interactive, with a potential fast flow solver that provides near real-time feedback to the clinician.

Author List

Clipp RB, Vicory J, Horvath S, Mitran S, Kimbell JS, Rhee JS, Enquobahrie A

Author

John S. Rhee MD Chair, Professor in the Otolaryngology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Computer Simulation
Humans
Hydrodynamics
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Nasal Obstruction
Surgical Procedures, Operative
User-Computer Interface