Literature DB >> 29049474

Virtual Surgery for the Nasal Airway: A Preliminary Report on Decision Support and Technology Acceptance.

Derek L Vanhille1,2, Guilherme J M Garcia1,2, Onur Asan3, Azadeh A T Borojeni1,2, Dennis O Frank-Ito4,5,6, Julia S Kimbell7, Sachin S Pawar1, John S Rhee1.   

Abstract

IMPORTANCE: Nasal airway obstruction (NAO) is a common problem that affects patient quality of life. Surgical success for NAO correction is variable. Virtual surgery planning via computational fluid dynamics (CFD) has the potential to improve the success rates of NAO surgery.
OBJECTIVE: To elicit surgeon feedback of a virtual surgery planning tool for NAO and to determine if this tool affects surgeon decision making. DESIGN, SETTING, AND PARTICIPANTS: For this cross-sectional study, 60-minute face-to-face interviews with board-certified otolaryngologists were conducted at a single academic otolaryngology department from September 16, 2016, through October 7, 2016. Virtual surgery methods were introduced, and surgeons were able to interact with the virtual surgery planning tool interface. Surgeons were provided with a patient case of NAO, and open feedback of the platform was obtained, with emphasis on surgical decision making. MAIN OUTCOMES AND MEASURES: Likert scale responses and qualitative feedback were collected for the virtual surgery planning tool and its influence on surgeon decision making.
RESULTS: Our 9 study participants were all male, board-certified otolaryngologists with a mean (range) 15 (4-28) number of years in practice and a mean (range) number of nasal surgeries per month at 2.2 (0.0-6.0). When examined on a scale of 1 (not at all) to 5 (completely), surgeon mean (SD) score was 3.4 (0.5) for how realistic the virtual models were compared with actual surgery. On the same scale, when asked how much the virtual surgery planning tool changed surgeon decision making, mean (SD) score was 2.6 (1.6). On a scale of 1 (strongly disagree) to 7 (strongly agree), surgeon scores for perceived usefulness of the technology and attitude toward using it were 5.1 (1.1) and 5.7 (0.9), respectively. CONCLUSIONS AND RELEVANCE: Our study shows positive surgeon experience with a virtual surgery planning tool for NAO based on CFD simulations. Surgeons felt that future applications and areas of study of the virtual surgery planning tool include its potential role for patient counseling, selecting appropriate surgical candidates, and identifying which anatomical structures should be targeted for surgical correction. LEVEL OF EVIDENCE: NA.

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Year:  2018        PMID: 29049474      PMCID: PMC5833667          DOI: 10.1001/jamafacial.2017.1554

Source DB:  PubMed          Journal:  JAMA Facial Plast Surg        ISSN: 2168-6076            Impact factor:   4.611


  52 in total

1.  Development and validation of the Nasal Obstruction Symptom Evaluation (NOSE) scale.

Authors:  Michael G Stewart; David L Witsell; Timothy L Smith; Edward M Weaver; Bevan Yueh; Maureen T Hannley
Journal:  Otolaryngol Head Neck Surg       Date:  2004-02       Impact factor: 3.497

2.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

3.  Septal deviation and nasal resistance: an investigation using virtual surgery and computational fluid dynamics.

Authors:  Guilherme J M Garcia; John S Rhee; Brent A Senior; Julia S Kimbell
Journal:  Am J Rhinol Allergy       Date:  2010 Jan-Feb       Impact factor: 2.467

Review 4.  Correlation between subjective and objective evaluation of the nasal airway. A systematic review of the highest level of evidence.

Authors:  R F André; H D Vuyk; A Ahmed; K Graamans; G J Nolst Trenité
Journal:  Clin Otolaryngol       Date:  2009-12       Impact factor: 2.597

5.  Qualitative research methods in otorhinolaryngology.

Authors:  M Bunne
Journal:  Int J Pediatr Otorhinolaryngol       Date:  1999-11-15       Impact factor: 1.675

Review 6.  A systematic review of patient-reported nasal obstruction scores: defining normative and symptomatic ranges in surgical patients.

Authors:  John S Rhee; Corbin D Sullivan; Dennis O Frank; Julia S Kimbell; Guilherme J M Garcia
Journal:  JAMA Facial Plast Surg       Date:  2014 May-Jun       Impact factor: 4.611

7.  Pregnancy during otolaryngology residency: experience and recommendations.

Authors:  Stephanie Cole; Michelle Arnold; Alicia Sanderson; Craig Cupp
Journal:  Am Surg       Date:  2009-05       Impact factor: 0.688

8.  Physicians' beliefs about using EMR and CPOE: in pursuit of a contextualized understanding of health IT use behavior.

Authors:  Richard J Holden
Journal:  Int J Med Inform       Date:  2010-01-13       Impact factor: 4.046

9.  Atrophic rhinitis: a CFD study of air conditioning in the nasal cavity.

Authors:  Guilherme J M Garcia; Neil Bailie; Dário A Martins; Julia S Kimbell
Journal:  J Appl Physiol (1985)       Date:  2007-06-14

10.  Predicting postsurgery nasal physiology with computational modeling: current challenges and limitations.

Authors:  Dennis O Frank-Ito; Julia S Kimbell; Purushottam Laud; Guilherme J M Garcia; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2014-08-28       Impact factor: 3.497

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  9 in total

1.  Normative ranges of nasal airflow variables in healthy adults.

Authors:  Azadeh A T Borojeni; Guilherme J M Garcia; Masoud Gh Moghaddam; Dennis O Frank-Ito; Julia S Kimbell; Purushottam W Laud; Lisa J Koenig; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-02       Impact factor: 2.924

2.  Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction.

Authors:  Masoud Gh Moghaddam; Guilherme J M Garcia; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-02-20       Impact factor: 2.924

3.  The collapsing anatomical structure is not always the primary site of flow limitation in obstructive sleep apnea.

Authors:  Guilherme J M Garcia; B Tucker Woodson
Journal:  J Clin Sleep Med       Date:  2020-01-14       Impact factor: 4.062

4.  Research on Several Key Problems of Medical Image Segmentation and Virtual Surgery.

Authors:  Dan Luo; Yu Zhang; Jia Li
Journal:  Contrast Media Mol Imaging       Date:  2022-04-11       Impact factor: 3.009

5.  An Interactive, Patient-Specific Virtual Surgical Planning System for Upper Airway Obstruction Treatments.

Authors:  Rachel B Clipp; Jared Vicory; Samantha Horvath; Sorin Mitran; Julia S Kimbell; John S Rhee; Andinet Enquobahrie
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

6.  Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold.

Authors:  Giancarlo B Cherobin; Richard L Voegels; Eloisa M M S Gebrim; Guilherme J M Garcia
Journal:  PLoS One       Date:  2018-11-16       Impact factor: 3.240

Review 7.  Computational technology for nasal cartilage-related clinical research and application.

Authors:  Bing Shi; Hanyao Huang
Journal:  Int J Oral Sci       Date:  2020-07-27       Impact factor: 6.344

Review 8.  Nasally inhaled therapeutics and vaccination for COVID-19: Developments and challenges.

Authors:  Jinxiang Xi; Lameng Ray Lei; William Zouzas; Xiuhua April Si
Journal:  MedComm (2020)       Date:  2021-12-14

9.  Effect of tube length on the buckling pressure of collapsible tubes.

Authors:  M Amin F Zarandi; Kevin Garman; John S Rhee; B Tucker Woodson; Guilherme J M Garcia
Journal:  Comput Biol Med       Date:  2021-07-28       Impact factor: 6.698

  9 in total

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