3D Simulation Accuracy and Patient Satisfaction With Rhinoplasty

Abstract Background Achieving aesthetic satisfaction in patients undergoing rhinoplasty requires not only surgical precision but also effective communication of expected outcomes. Three-dimensional (3D) simulation has emerged as a promising tool for aligning patient expectations with surgical planning. Objectives This study aimed to evaluate the relationship between postoperative satisfaction in patients undergoing rhinoplasty and 3D simulation accuracy using the Crisalix simulation platform. Methods This retrospective study included 38 patients who underwent aesthetic rhinoplasty with preoperative 3D simulation. Morphometric analysis compared the nasal parameters of the simulations with actual postoperative outcomes. Patient satisfaction was assessed using the FACE-Q scale. Similarity scores were rated by each patient and two independent surgeons, and the correlations were analyzed. Results Crisalix simulation accuracy showed a strong correlation with postoperative patient satisfaction (ρ = 0.66, p < 0.001), second only to physician aesthetic scores (ρ = 0.71, p < 0.001). Subgroup analyses showed greater simulation discrepancies and lower satisfaction in revision cases, although the differences were not statistically significant. Conclusions Our study found higher predictive accuracy, utilizing three-dimensional preoperative simulations, to be significantly associated with greater patient satisfaction. These findings underscore potential utility of 3D simulation as a tool for aligning surgical outcomes with patient expectations and enhancing shared decision-making.

Authors

Institutions

Publication Details

Journal
Aesthetic Surgery Journal Open Forum
Published
2025-09-09
DOI
https://doi.org/10.1093/asjof/ojaf110
Primary Topic
Nasal Surgery and Airway Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D Simulation Accuracy and Patient Satisfaction With Rhinoplasty

Kosaku Yamamichi, Yuji Nakanishi, Yi‐Hsuan Chen
Aesthetic Surgery Journal Open Forum
Nasal Surgery and Airway Studies
article

3D Simulation Accuracy and Patient Satisfaction With Rhinoplasty

Kosaku Yamamichi, Yuji Nakanishi, Yi‐Hsuan Chen
article en

Abstract

Abstract Background Achieving aesthetic satisfaction in patients undergoing rhinoplasty requires not only surgical precision but also effective communication of expected outcomes. Three-dimensional (3D) simulation has emerged as a promising tool for aligning patient expectations with surgical planning. Objectives This study aimed to evaluate the relationship between postoperative satisfaction in patients undergoing rhinoplasty and 3D simulation accuracy using the Crisalix simulation platform. Methods This retrospective study included 38 patients who underwent aesthetic rhinoplasty with preoperative 3D simulation. Morphometric analysis compared the nasal parameters of the simulations with actual postoperative outcomes. Patient satisfaction was assessed using the FACE-Q scale. Similarity scores were rated by each patient and two independent surgeons, and the correlations were analyzed. Results Crisalix simulation accuracy showed a strong correlation with postoperative patient satisfaction (ρ = 0.66, p < 0.001), second only to physician aesthetic scores (ρ = 0.71, p < 0.001). Subgroup analyses showed greater simulation discrepancies and lower satisfaction in revision cases, although the differences were not statistically significant. Conclusions Our study found higher predictive accuracy, utilizing three-dimensional preoperative simulations, to be significantly associated with greater patient satisfaction. These findings underscore potential utility of 3D simulation as a tool for aligning surgical outcomes with patient expectations and enhancing shared decision-making.

Aesthetic Surgery Journal Open ForumVol. 7
Fujita Health University (JP), American Society of Plastic Surgeons (US), IS practice (BE), Ajinomoto (Japan) (JP)
Openalex Percentile: Top 60%
Nasal Surgery and Airway Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.