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Published on: August 5, 2021
Three-Dimensional Digital Planning and Long-Term Outcome Analysis in Aesthetic Rhinoplasty
1Departments of Reconstructive and Aesthetic Surgery Clinic, Private Plastic, 34421, Istanbul.
Background:
Preoperative digital imaging and simulation technologies have become increasingly important in aesthetic rhinoplasty for improving surgical planning, surgeon-patient communication, and patient expectation management. However, data evaluating the relationship between preoperative simulation and long-term postoperative outcomes remain limited.
Methods:
This retrospective study included 198 patients who underwent aesthetic rhinoplasty. The study population consisted of 138 female and 60 male patients with a mean age of 28 years. All patients underwent preoperative 2-dimensional (2D) photographic analysis and 3-dimensional (3D) digital simulation before surgery. Long-term postoperative outcomes, revision rates, postoperative discrepancies between preoperative planning and actual outcomes, and patient satisfaction were evaluated over a 3-year follow-up period. The study was conducted in accordance with ethical standards, and written informed consent was obtained from all participants.
Results:
The overall revision rate was 12.6% (25/198 patients). Revision rhinoplasty was performed in 11 patients (44%) for inadequate dorsal contour depth, in 8 patients (32%) for tip ptosis, and in 6 patients (24%) for intermittent functional breathing problems associated with septal deviation. Most postoperative dorsal contour discrepancies remained within clinically acceptable limits. Eleven patients demonstrated a ∼1 mm discrepancy, 10 patients a ∼1.5 mm discrepancy, 5 patients a ∼2m m discrepancy, and 3 patients a ∼3 mm discrepancy between preoperative simulation and postoperative outcomes without requiring revision surgery. Preoperative 3D simulation improved visualization of surgical goals and facilitated patient understanding of postoperative expectations.
Conclusions:
Preoperative 2D and 3D digital imaging and simulation techniques represent valuable adjuncts in modern rhinoplasty practice. These technologies improve patient communication, facilitate expectation management, and may contribute to greater long-term postoperative satisfaction by improving consistency between preoperative planning and actual surgical outcomes.

