Predicting Nasal Soft Tissue Envelope Thickness for Rhinoplasty: A Model Based on Visual Examination of the Nose.

[IMPORTANCE] Predicting nasal soft tissue envelope (STE) thickness is an important component of the preoperative evaluation for rhinoplasty that presently lacks validated tools.

[OBJECTIVE] Assess for patient facial features and factors that can help predict nasal STE thickness.

[DESIGN, SETTING, AND PARTICIPANTS] Retrospective review and prospective assessment conducted at an academic tertiary referral center. This study included 190 adult patients and four expert raters. The patients had high-resolution maxillofacial CT scans and standardized facial photographs on file and did not have a history of nasal fracture, septal perforation, rhinoplasty, or other surgery or medical conditions altering nasal form.

[MAIN OUTCOMES AND MEASURES] Assess each face for features that could help predict nasal STE thickness: sebaceous quality of skin, visibility of nasal tip cartilages, presence of freckles, presence of telangiectasias, Fitzpatrick skin type, patient age, sex, and body mass index (BMI). Measure actual nasal STE thickness using high-resolution CT scans. Analyze which facial features and patient factors help predict nasal STE thickness.

[RESULTS] Pearson correlations were calculated between actual nasal STE thickness and patient facial features and factors. These showed that more sebaceous skin, telangiectasias, higher Fitzpatrick skin type, male sex, and higher BMI were associated with a thicker nasal STE. Increased visibility of nasal tip cartilages, freckles, lower Fitzpatrick skin type, female sex, and lower BMI were associated with a thinner nasal STE.

[CONCLUSIONS AND RELEVANCE] There are patient facial features and factors that can help surgeons predict nasal STE thickness before rhinoplasty. An accurate prediction of nasal STE thickness can improve preoperative planning for rhinoplasty, allowing implementation of pre-, intra-, and post-operative treatments to optimize the nasal STE, which may ultimately improve patient outcomes and satisfaction.