TY - JOUR
T1 - Assessment of a novel computer algorithm for printing a 3-dimensional nasal prosthetic
AU - Shikara, Meryam
AU - Rizzi, Christopher J.
AU - Zelip, Brian
AU - Hubbard, Fleesie
AU - Vakharia, Kavita T.
AU - Isaiah, Amal
AU - Greywoode, Jewel D.
AU - Vakharia, Kalpesh T.
N1 - Publisher Copyright:
© 2018 American Medical Association. All rights reserved.
PY - 2018/7
Y1 - 2018/7
N2 - IMPORTANCE: The introduction and evaluation of a novel technique to create nasal prostheses with 3-dimensional (3-D) imaging software may circumvent the need for an anaplastologist. OBJECTIVES: To describe a novel computer algorithm for the creation of a 3-D model of a nose and to evaluate the similarity of appearance of the nasal prosthesis with that of the individual's nose. DESIGN, SETTING, AND PARTICIPANTS: A prospective pilot study with a cross-sectional survey was conducted from August 1 to October 31, 2016, at a tertiary care academic center. Five volunteers were used for creation of the nasal prostheses, and 36 survey respondents with a medical background were involved in evaluating the nasal prostheses. EXPOSURES: A computer algorithm using a 3-D animation software (Blender; Blender Foundation) and Adobe Photoshop CS6 (Adobe Systems) were used to create a 3-D model of a nose. Photographs of 5 volunteers were processed with the computer algorithm. The model was then printed using a desktop 3-D printer. Attending physicians, residents, and medical students completed a survey and were asked to rate the similarity between the individuals' photographs and their 3-D printed nose on a Likert-type scale. MAIN OUTCOMES AND MEASURES: The similarity between 3-D printed nasal models and photographs of the volunteers' noses based on survey data. RESULTS: Thirty-six survey respondents evaluated 4 views for each of the 5 modeled noses (from 4 women and 1 man; mean [SD] age, 26.6 [5.7] years). The mean (SD) score for the overall similarity between the photographs and the 3-D models was 8.42 (1.34). The mean scores for each nasal comparison ranged from 7.97 to 8.62. According to the survey, respondents were able to match the correct 3-D nose to the corresponding volunteers' photographs in 171 of 175 photographs (97.7%). All surveyed clinicians indicated that they would consider using this tool to create a temporary prosthesis instead of referring to a prosthodontist. CONCLUSIONS AND RELEVANCE: This algorithm can be used to model and print a 3-D prosthesis of a human nose. The printed models closely depicted the photographs of each volunteer's nose and can potentially be used to create a temporary prosthesis to fill external nasal defects. The appropriate clinical application of this technique is yet to be determined.
AB - IMPORTANCE: The introduction and evaluation of a novel technique to create nasal prostheses with 3-dimensional (3-D) imaging software may circumvent the need for an anaplastologist. OBJECTIVES: To describe a novel computer algorithm for the creation of a 3-D model of a nose and to evaluate the similarity of appearance of the nasal prosthesis with that of the individual's nose. DESIGN, SETTING, AND PARTICIPANTS: A prospective pilot study with a cross-sectional survey was conducted from August 1 to October 31, 2016, at a tertiary care academic center. Five volunteers were used for creation of the nasal prostheses, and 36 survey respondents with a medical background were involved in evaluating the nasal prostheses. EXPOSURES: A computer algorithm using a 3-D animation software (Blender; Blender Foundation) and Adobe Photoshop CS6 (Adobe Systems) were used to create a 3-D model of a nose. Photographs of 5 volunteers were processed with the computer algorithm. The model was then printed using a desktop 3-D printer. Attending physicians, residents, and medical students completed a survey and were asked to rate the similarity between the individuals' photographs and their 3-D printed nose on a Likert-type scale. MAIN OUTCOMES AND MEASURES: The similarity between 3-D printed nasal models and photographs of the volunteers' noses based on survey data. RESULTS: Thirty-six survey respondents evaluated 4 views for each of the 5 modeled noses (from 4 women and 1 man; mean [SD] age, 26.6 [5.7] years). The mean (SD) score for the overall similarity between the photographs and the 3-D models was 8.42 (1.34). The mean scores for each nasal comparison ranged from 7.97 to 8.62. According to the survey, respondents were able to match the correct 3-D nose to the corresponding volunteers' photographs in 171 of 175 photographs (97.7%). All surveyed clinicians indicated that they would consider using this tool to create a temporary prosthesis instead of referring to a prosthodontist. CONCLUSIONS AND RELEVANCE: This algorithm can be used to model and print a 3-D prosthesis of a human nose. The printed models closely depicted the photographs of each volunteer's nose and can potentially be used to create a temporary prosthesis to fill external nasal defects. The appropriate clinical application of this technique is yet to be determined.
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U2 - 10.1001/jamaoto.2018.0360
DO - 10.1001/jamaoto.2018.0360
M3 - Article
C2 - 29800960
AN - SCOPUS:85051035673
SN - 2168-6181
VL - 144
SP - 557
EP - 563
JO - JAMA Otolaryngology - Head and Neck Surgery
JF - JAMA Otolaryngology - Head and Neck Surgery
IS - 7
ER -