Recker, Chelsey A

AbstractNasal reconstruction presents the facial plastic surgeon with a complex problem given its functional and aesthetic importance. The dorsal nasal flap is a composite rotational flap of the glabella and nasal dorsum that can be used for nasal dorsum and tip defects of medium to large sizes. Given its composite nature, this flap can be split into its constituent parts—the epidermis and dermis and the subcutaneous tissue and superficial musculoaponeurotic system—without flap loss. This case series describes this technique and various potential applications within nasal reconstruction.

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.

Importance Preoperative assessment of nasal soft-tissue envelope (STE) thickness is an important component of rhinoplasty that presently lacks validated tools. Objective To measure and assess the distribution of nasal STE thickness in a large patient population and to determine if facial plastic surgery clinicians can predict nasal STE thickness based on visual examination of the nose. Design, Setting, and Participants This retrospective review and prospective assessment of 190 adult patients by 4 expert raters was conducted at an academic tertiary referral center. The patients had high-resolution maxillofacial computed tomography (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. Data were analyzed in March 2019. Main Outcomes and Measures Measure nasal STE thickness at defined anatomic subsites using high-resolution CT scans. Measure expert-predicted nasal STE thickness based on visual examination of the nose using a scale from 0 (thinnest) to 100 (thickest). Results Of the 190 patients, 78 were women and the mean (SD) age was 45 (17) years. The nasal STE was thickest at the sellion (mean [SD]) (6.7 [1.7] mm), thinnest at the rhinion (2.1 [0.7] mm), thickened over the supratip (4.8 [1.0] mm) and nasal tip (3.1 [0.6] mm), and thinned over the columella (2.6 [0.4] mm). In the study population, nasal STE thickness followed a nearly normal distribution for each measured subsite, with the majority of patients in a medium thickness range. Comparison of predicted and actual nasal STE thickness showed that experts could accurately predict nasal STE thickness, with the highest accuracy at the nasal tip ( r , 0.73; prediction accuracy, 91%). A strong positive correlation was noted among the experts’ STE estimates ( r , 0.83-0.89), suggesting a high level of agreement between individual raters. Conclusions and Relevance There is variable thickness of the nasal STE, which influences the external nasal contour and rhinoplasty outcomes. With visual analysis of the nose, experts can agree on and predict nasal STE thickness, with the highest accuracy at the nasal tip. These data can aid in preoperative planning for rhinoplasty, allowing implementation of preoperative, intraoperative, and postoperative strategies to optimize the nasal STE, which may ultimately improve patient outcomes and satisfaction. Level of Evidence NA .