212 posters, 10 topics, 5 sessions, 754 authors, 237 institutions
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The AAPS 101st Annual Meeting
29 April – 2 May, 2023 | Chicago, IL

PC53
Chin Dysmorphology In The Rhinoplasty Population: Incidence, Objective Analysis, & Implications
Poster Presenter
Part of Topic
Aesthetic Face
PURPOSE
•Chin flaws are far more common than recognized.
•Discussing correction could pose a challenge with adolescent patients.
•Denial of genioplasty by parents or adult patients can present a surgical planning enigma, especially in patients with microgenia and chin deviation.
•The prevalence of chin dysmorphology is not well-reported in this population
•Goal -> investigate the frequency of chin imperfections in patients seeking rhinoplasty, review the conundrum they generate, and offer management suggestions based upon over 40 years of the senior author’s experience.
METHODS
•This review included 108 consecutive patients presenting for primary rhinoplasty.
•Demographics, soft tissue cephalometrics, and surgical details were recorded.
•Tr-G-Sn-Me, Sn-St-Me, Me deviation, & Pg-Riedel’s line
•Exclusion criteria included prior orthognathic or isolated chin surgery, mandibular trauma, congenital craniofacial differences, & documented malocclusion.
•Dysmorphology was practically classified as reported previously (Table 1).
RESULTS
Demographics & Surgical Details:
•108 patients included; 92 (85.2%) female.
•Mean age 30.8 years (SD±13, range 14-72); 15 (13.9%) younger than 18.
•5 (4.6%) -> simultaneous osseous genioplasty (mean advancement 7.8mm, range 5-9mm)
•None returned for delayed genioplasty
•7 (6.5%) -> simultaneous fat grafting to the chin (mean volume 4.4cc, range 1-9cc)
•One patient (0.9%) returned for additional fat grafting to the chin
Soft Tissue Cephalometrics:
•97 (89.8%%) patients à some degree of objective chin dysmorphology beyond 3mm
•Severity of dysmorphologies measured was diverse (range 3mm-18mm)
•15 (13.9%) Class I (macrogenia)
•63 (58.3%) Class II (microgenia)
•14 (12.9%) Class III (combined micro- & macrogenia in horizontal & vertical directions)
•41 (38%) Class IV (chin asymmetry)
•Lower facial measurements (Sn-Me, S-St, & St-Me) were significantly different when partitioned by age (greater or less than 18 years) (p = 0.01-0.05)
•No significant differences when partitioned by gender
CONCLUSIONS
•A considerable proportion of primary rhinoplasty patients demonstrate quantifiable chin dysmorphology, across a varied spectrum, on high-resolution imaging.
•Most frequent flaws -> isolated vertical microgenia, combined horizontal & vertical microgenia, and chin asymmetry.
•Literature review suggests 31-81% prevalence, while 13-25% pursue simultaneous genioplasty.
•Heterogeneous, varied/limited methods
•This study supports a standardized analysis of chin morphology during consultation and an algorithmic approach to surgical correction.
•Cephalometrics + Riedel’s line -> clinical simplicity
•Classification scheme -> practical guide
•Only a small number seek genioplasty or fat grafting to improve facial harmony.
•Potential reasons for aversion:
•Fear of side effects, care burden, reluctance in general
•Financial limitations, recovery
•Mitigation strategies:
•Patient education & counseling
•Review options -> fat injection vs. alloplastic vs. osseous
