Three-Dimensional Imaging in Rhinoplasty: A Comparison of the Simulated versus Actual Result

Persing, Sarah; Timberlake, Andrew T.; Madari, Sarika; Steinbacher, Derek M.

doi:10.1007/s00266-018-1151-9

Cited by 24 publications

(20 citation statements)

References 10 publications

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“…3D stereophotogrammetry is quickly acquiring popularity thanks to its acquisition speed and the possibility of taking measurements on the acquired images, rather than the patient. These images and the data that they provide can be used in various scenarios that range from evaluating the progression and follow-up of various therapies [ 16 , 17 ] to predicting the outcome of surgical treatments such as rhinoplasty [ 18 ]. Within this growing market for devices, Canfield offers a set of 3D imaging systems—the Vectra devices—both in stationary and portable form.…”

Section: Discussionmentioning

confidence: 99%

Validation of Vectra 3D Imaging Systems: A Review

Stefani

Barone

Alamdari

et al. 2022

IJERPH

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Aim: Three-dimensional facial imaging systems are a useful tool that is gradually replacing two-dimensional imaging and traditional anthropometry with calipers. In this varied and growing landscape of new devices, Canfield (Canfield Scientific, Parsippany, NJ, USA) has proposed a series of static and portable 3D imaging systems. The aim of this systematic review was to evaluate the current literature regarding the validation of Canfield’s Vectra imaging systems. Materials and Methods: A search strategy was developed on electronic databases including PubMed, Web of Science and Scopus by using specific keywords. After the study selection phase, a total of 10 articles were included in the present review. Results: A total of 10 articles were finally included in the present review. For six articles, we conducted a validation of the Vectra static devices, focusing especially on the Vectra M5, Vectra M3 and Vectra XT. For four articles, we validated the Vectra H1 portable system. Conclusions: All of the reviewed articles concluded that Canfield’s Vectra 3D imaging systems are capable of capturing accurate and reproducible stereophotogrammetric images. Minor errors were reported, particularly in the acquisition of the perioral region, but all the evaluated devices are considered to be valid and accurate tools for clinicians.

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Section: Discussionmentioning

confidence: 99%

Validation of Vectra 3D Imaging Systems: A Review

Stefani

Barone

Alamdari

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

“…There are many studies that describe the usefulness of a facial simulation in aesthetic rhinoplasty, but until now there has not been any research on the application of AI for this purpose. [1][2][3][4]7 The AIM was provided only with preoperative photographs. This study is not based on postoperative results.…”

Section: Discussionmentioning

confidence: 99%

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An Artificial Intelligence Tool for Image Simulation in Rhinoplasty

et al. 2021

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During rhinoplasty consultations, surgeons typically create a computer simulation of the expected result. An artificial intelligence model (AIM) can learn a surgeon's style and criteria and generate the simulation automatically. The objective of this study is to determine if an AIM is capable of imitating a surgeon's criteria to generate simulated images of an aesthetic rhinoplasty surgery. This is a cross-sectional survey study of resident and specialist doctors in otolaryngology conducted in the month of November 2019 during a rhinoplasty conference. Sequential images of rhinoplasty simulations created by a surgeon and by an AIM were shown at random. Participants used a seven-point Likert scale to evaluate their level of agreement with the simulation images they were shown, with 1 indicating total disagreement and 7 total agreement. Ninety-seven of 122 doctors agreed to participate in the survey. The median level of agreement between the participant and the surgeon was 6 (interquartile range or IQR 5–7); between the participant and the AIM it was 5 (IQR 4–6), p-value < 0.0001. The evaluators were in total or partial agreement with the results of the AIM's simulation 68.4% of the time (95% confidence interval or CI 64.9–71.7). They were in total or partial agreement with the surgeon's simulation 77.3% of the time (95% CI 74.2–80.3). An AIM can emulate a surgeon's aesthetic criteria to generate a computer-simulated image of rhinoplasty. This can allow patients to have a realistic approximation of the possible results of a rhinoplasty ahead of an in-person consultation. The level of evidence of the study is 4.

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“…18 With the advent of 3D imaging, this technology has advanced to be able to provide precise facial measurements preoperatively and simulate postoperative results. 19 These images can facilitate communication and set expectations for patients, possibly increasing their postoperative satisfaction. 20 For the surgeon, these tools can lead to better appreciation of the individualized anatomical structures, allowing for more informed preoperative planning.…”

Section: Surgical Planningmentioning

confidence: 99%

Revision Rhinoplasty: With Introduction of a Novel Preoperative Assessment Classification System

2021

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Revision rhinoplasty presents several complex surgical challenges. Proper patient selection for revision rhinoplasty, along with thorough preoperative examination and surgical planning, is key to achieving ideal outcomes. Along with achieving a high level of understanding of primary rhinoplasty techniques, surgeons performing revision rhinoplasty must understand and diagnose deformities created by the primary surgery. A systematic approach to diagnosing rhinoplasty deformities assists in forming a suitable surgical plan. A classification system based on nasal analysis, described here, may be used to differentiate the degree of difficulty of the surgery as well as assist in surgical planning. Surgeons have a multitude of options available in their armamentarium for addressing common nasal deformities encountered during revisional surgery, and a stepwise surgical approach may facilitate the creation of an optimal aesthetic and functional result.

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Three-Dimensional Imaging in Rhinoplasty: A Comparison of the Simulated versus Actual Result

Abstract: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Cited by 24 publications

References 10 publications

Validation of Vectra 3D Imaging Systems: A Review

Validation of Vectra 3D Imaging Systems: A Review

An Artificial Intelligence Tool for Image Simulation in Rhinoplasty

Revision Rhinoplasty: With Introduction of a Novel Preoperative Assessment Classification System

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