Literature DB >> 27620827

Development and validation of a high-fidelity phonomicrosurgical trainer.

Adam M Klein1, Jennifer Gross2.   

Abstract

OBJECTIVES: To validate the use of a high-fidelity phonomicrosurgical trainer. STUDY
DESIGN: A high-fidelity phonomicrosurgical trainer, based on a previously validated model by Contag et al.,1 was designed with multilayered vocal folds that more closely mimic the consistency of true vocal folds, containing intracordal lesions to practice phonomicrosurgical removal. A training module was developed to simulate the true phonomicrosurgical experience. A validation study with novice and expert surgeons was conducted.
METHODS: Novices and experts were instructed to remove the lesion from the synthetic vocal folds, and novices were given four training trials. Performances were measured by the amount of time spent and tissue injury (microflap, superficial, deep) to the vocal fold. An independent Student t test and Fisher exact tests were used to compare subjects. A matched-paired t test and Wilcoxon signed rank tests were used to compare novice performance on the first and fourth trials and assess for improvement.
RESULTS: Experts completed the excision with less total errors than novices (P = .004) and made less injury to the microflap (P = .05) and superficial tissue (P = .003). Novices improved their performance with training, making less total errors (P = .002) and superficial tissue injuries (P = .02) and spending less time for removal (P = .002) after several practice trials.
CONCLUSION: This high-fidelity phonomicrosurgical trainer has been validated for novice surgeons. It can distinguish between experts and novices; and after training, it helped to improve novice performance. LEVEL OF EVIDENCE: N/A. Laryngoscope, 127:888-893, 2017.
© 2016 The American Laryngological, Rhinological and Otological Society, Inc.

Keywords:  Phonomicrosurgery; laryngology; surgical trainer; vocal folds

Mesh:

Year:  2016        PMID: 27620827     DOI: 10.1002/lary.26230

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  2 in total

1.  Real-time robotic airway measurement: An additional benefit of a novel steady-hand robotic platform.

Authors:  Christopher R Razavi; Francis X Creighton; Paul R Wilkening; Joseph Peine; Russell H Taylor; Lee M Akst
Journal:  Laryngoscope       Date:  2018-11-15       Impact factor: 3.325

2.  Three-dimensional printing of a low-cost, high-fidelity laryngeal dissection station.

Authors:  Sharon K Maguire; Christopher Razavi; Yunus Sevimli; Lee M Akst
Journal:  Laryngoscope       Date:  2017-09-26       Impact factor: 3.325

  2 in total

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