Meryam Shikara1, Christopher J Rizzi2, Brian Zelip3, Fleesie Hubbard1, Kavita T Vakharia4, Amal Isaiah1, Jewel D Greywoode1,5, Kalpesh T Vakharia1,5. 1. Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, University of Maryland, Baltimore. 2. Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland Medical System, Baltimore. 3. Department of Emerging Technology, Health Sciences and Human Services Library, University of Maryland, Baltimore. 4. Division of Plastic Surgery, Penn State Hershey Medical Center, Hershey, Pennsylvania. 5. Department of Otorhinolaryngology, Head and Neck Surgery, Veterans Affairs Maryland Health Care System, Baltimore.
Abstract
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.
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.
Authors: Michael P Chae; Frank Lin; Robert T Spychal; David J Hunter-Smith; Warren Matthew Rozen Journal: Microsurgery Date: 2014-07-21 Impact factor: 2.425
Authors: Thiago Oliveira-Santos; Christian Baumberger; Mihai Constantinescu; Radu Olariu; Lutz-Peter Nolte; Salman Alaraibi; Mauricio Reyes Journal: Ann Biomed Eng Date: 2013-01-15 Impact factor: 3.934