title: Computational fluid dynamics as surgical planning tool: a pilot study on middle turbinate resection.
abstract: Controversies exist regarding the resection or preservation of the middle turbinate (MT) during functional endoscopic sinus surgery. Any MT resection will perturb nasal airflow and may affect the mucociliary dynamics of the osteomeatal complex. Neither rhinometry nor computed tomography (CT) can adequately quantify nasal airflow pattern changes following surgery. This study explores the feasibility of assessing changes in nasal airflow dynamics following partial MT resection using computational fluid dynamics (CFD) techniques. We retrospectively converted the pre- and postoperative CT scans of a patient who underwent isolated partial MT concha bullosa resection into anatomically accurate three-dimensional numerical nasal models. Pre- and postsurgery nasal airflow simulations showed that the partial MT resection resulted in a shift of regional airflow towards the area of MT removal with a resultant decreased airflow velocity, decreased wall shear stress and increased local air pressure. However, the resection did not strongly affect the overall nasal airflow patterns, flow distributions in other areas of the nose, nor the odorant uptake rate to the olfactory cleft mucosa. Moreover, CFD predicted the patient's failure to perceive an improvement in his unilateral nasal obstruction following surgery. Accordingly, CFD techniques can be used to predict changes in nasal airflow dynamics following partial MT resection. However, the functional implications of this analysis await further clinical studies. Nevertheless, such techniques may potentially provide a quantitative evaluation of surgical effectiveness and may prove useful in preoperatively modeling the effects of surgical interventions.
authors.affiliation: Monell Chemical Senses Center, Philadelphia, Pennsylvania; Department of Otolaryngology, Thomas Jefferson University, Philadelphia, Pennsylvania.
authors.forename: Kai
authors.initials: K
authors.lastname: Zhao
authors.forename: Prashant
authors.initials: P
authors.lastname: Malhotra
authors.forename: David
authors.initials: D
authors.lastname: Rosen
authors.forename: Pamela
authors.initials: P
authors.lastname: Dalton
authors.forename: Edmund A
authors.initials: EA
authors.lastname: Pribitkin
mesh_terms: D000368:Aged; D006801:Humans; D057446:Hydrodynamics; D008297:Male; D015508:Nasal Obstruction / Q000000981:diagnostic imaging / Q000601:surgery; D010256:Paranasal Sinuses / Q000000981:diagnostic imaging / Q000601:surgery; D066230:Patient-Specific Modeling; D010865:Pilot Projects; D014057:Tomography, X-Ray Computed; D014420:Turbinates / Q000000981:diagnostic imaging* / Q000601:surgery*
keywords: 3D model; computational fluid dynamics; concha bullosa; functional endoscopic surgery; nasal obstruction; rhinosinusitis