Preoperative Patient Guidance and Education in Aesthetic Breast Plastic Surgery: A Novel Proposed Application of Artificial Intelligence Large Language Models.

Background: At a time when Internet and social media use is omnipresent among patients in their self-directed research about their medical or surgical needs, artificial intelligence (AI) large language models (LLMs) are on track to represent hallmark resources in this context. Objectives: The authors aim to explore and assess the performance of a novel AI LLM in answering questions posed by simulated patients interested in aesthetic breast plastic surgery procedures. Methods: A publicly available AI LLM was queried using simulated interactions from the perspective of patients interested in breast augmentation, mastopexy, and breast reduction. Questions posed were standardized and categorized under aesthetic needs inquiries and awareness of appropriate procedures; patient candidacy and indications; procedure safety and risks; procedure information, steps, and techniques; patient assessment; preparation for surgery; postprocedure instructions and recovery; and procedure cost and surgeon recommendations. Using standardized Likert scales ranging from 1 to 10, 4 expert breast plastic surgeons evaluated responses provided by AI. A postparticipation survey assessed expert evaluators' experience with LLM technology, perceived utility, and limitations. Results: The overall performance across all question categories, assessment criteria, and procedures examined was 7.3/10 ± 0.5. Overall accuracy of information shared was scored at 7.1/10 ± 0.5; comprehensiveness at 7.0/10 ± 0.6; objectivity at 7.5/10 ± 0.4; safety at 7.5/10 ± 0.4; communication clarity at 7.3/10 ± 0.2; and acknowledgment of limitations at 7.7/10 ± 0.2. With regards to performance on procedures examined, the model's overall score was 7.0/10 ± 0.8 for breast augmentation; 7.6/10 ± 0.5 for mastopexy; and 7.4/10 ± 0.5 for breast reduction. The score on breast implant-specific knowledge was 6.7/10 ± 0.6. Conclusions: Albeit not without limitations, AI LLMs represent promising resources for patient guidance and patient education. The technology's machine learning capabilities may explain its improved performance efficiency.

Labial Length and Patient Symptomatology: Is There a Correlation?

Background: Labia minora length is used in classification systems and to determine labiaplasty candidacy, with shorter labia leading to nonsurgical recommendations. Objectives: The aim of the study was to investigate the correlation between labia length and symptomatology. Methods: Patients undergoing labiaplasty from January 2017 to May 2023 underwent chart review. Data collected included age, exposed, and total labia length. Patients completed a preoperative survey with possible scores from 0 to 13 to gauge complaints and symptoms. Results: Out of 50 charts with complete data, the average age was 34. Exposed labia lengths were 10.1 mm (right) and 11.4 mm (left); total lengths from sulcus to edge measured 32.0 mm (right) and 33.4 mm (left). Survey scores averaged 6.5 (range, 2-11) median of 7. The correlation between exposed labia length and symptoms yielded Pearson correlation coefficient values (R) of 0.25 for both right and left sides, with coefficient of determination (r 2) values at 0.06. For total labia length, R values were 0.08 (right) and 0.06 (left), and r 2 values were 0.007 (right) and 0.003 (left). Conclusions: The correlation between a patient's exposed and total labia length and reported symptomatology is weak. Patients with longer labia can experience few symptoms, just as those with shorter labia can have a high degree of symptomatology. Rather than use labia length as a primary factor determining labiaplasty candidacy, the focus should be on patient-reported symptoms.

Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT.

BACKGROUND: The rapidly evolving field of artificial intelligence (AI) holds great potential for plastic surgeons. ChatGPT, a recently released AI large language model (LLM), promises applications across many disciplines, including healthcare. OBJECTIVES: The aim of this article was to provide a primer for plastic surgeons on AI, LLM, and ChatGPT, including an analysis of current demonstrated and proposed clinical applications. METHODS: A systematic review was performed identifying medical and surgical literature on ChatGPT's proposed clinical applications. Variables assessed included applications investigated, command tasks provided, user input information, AI-emulated human skills, output validation, and reported limitations. RESULTS: The analysis included 175 articles reporting on 13 plastic surgery applications and 116 additional clinical applications, categorized by field and purpose. Thirty-four applications within plastic surgery are thus proposed, with relevance to different target audiences, including attending plastic surgeons (n = 17, 50%), trainees/educators (n = 8, 24.0%), researchers/scholars (n = 7, 21%), and patients (n = 2, 6%). The 15 identified limitations of ChatGPT were categorized by training data, algorithm, and ethical considerations. CONCLUSIONS: Widespread use of ChatGPT in plastic surgery will depend on rigorous research of proposed applications to validate performance and address limitations. This systemic review aims to guide research, development, and regulation to safely adopt AI in plastic surgery.

Practice Patterns and Perspectives of the Off-Label Use of GLP-1 Agonists for Cosmetic Weight Loss.

BACKGROUND: The off-label use of glucagon-like peptide 1 (GLP-1) agonists for cosmetic weight loss has captured the interest of the public. However, there is a paucity of published data on their utilization, implications, and management, particularly in the plastic surgery community. OBJECTIVES: This study aims to explore the current practice patterns of aesthetic plastic surgeons regarding the off-label implementation of GLP-1 agonists. METHODS: A 35-question survey was sent to the 2600 members of The Aesthetic Society in July 2023. The survey collected physician demographics, practice settings, patient population demographics, and the use and management of GLP-1 agonists in their practice. No identifying variables were collected; all responses were anonymous. RESULTS: A total of 368 respondents were included. A quarter of respondents (25.3%) prescribed or utilized GLP-1 agonists in their practice. Nearly a third (29.9%) reported personal use of the medication, of which 71 (70.3%) indicated it was for cosmetic weight loss. Many aspects of the current treatment, counseling, and follow-up practices were similar among prescribing plastic surgeons. However, there were discrepancies in screening, nutrition counseling, and perioperative management. The majority believed that GLP-1 agonists were effective for weight loss (68.9%), profitable for business (57.8%), and would recommend its implementation to other plastic surgeons (68.5%). CONCLUSIONS: As leaders in the aesthetic field, it behooves plastic surgeons to take charge of shaping public opinion surrounding the growing off-label use of GLP-1 agonists for cosmetic weight loss. Plastic surgeons' leadership is imperative in establishing safe and ethical guidelines and protocols for proper screening, management, and patient care.

Comparison of Aesthetic Outcomes of Epidermal Staples vs Sutures in Deep Epigastric Perforator Flap Breast Reconstruction.

Background: A secondary benefit of abdominally based autologous breast reconstruction may be improving the abdominal contour; however, poor scaring can lead to aesthetic dissatisfaction and complications. Although studies have demonstrated favorable aesthetic results and decreased operative time using dermal or subcuticular stapling (Insorb), no reports exist regarding epidermal stapling. Objectives: The aim of this study is to compare the aesthetic abdominal scar outcomes, closure time, and postoperative complications of abdominally based breast reconstruction patients who have undergone suture closure vs epidermal staple closure. Methods: A total of 217 patients who underwent abdominally based autologous breast reconstruction from 2011 to 2022 were included and retrospectively analyzed (staples = 41, suture = 176). Twenty-four patients' postoperative abdominal scar photographs were randomly chosen (staples = 12, sutures = 12) and assessed by 3 board-certified plastic surgeons using a modified patient observer scar assessment scale (POSAS) and visual analog scale (VAS). Closure time (minutes per centimeter) using staples or sutures was also analyzed. Results: The assessment of abdominal scars closed by epidermal staples revealed significant improvements in thickness (P = .033), relief (P = .033), surface area (P = .017), overall opinion (P = .033), POSAS score (P = .034), and VAS scar score (P = .023) in comparison with scars closed by sutures. Closing the abdominal wound with staples was significantly faster than closing with sutures (P < .0001). Staple and suture closure had similar postoperative complication rates. Conclusions: Abdominal donor-site scar quality may be superior and faster using the epidermal staple compared to traditional suture closure.

Gender and Racial Representation of Invited Speakers From The Aesthetic Society Annual Meetings Over a 5-Year Period.

BACKGROUND: Increased representation from both women and non-White ethnicities remains a topic of discussion in plastic surgery. Speakers at academic conferences are a form of visual representation of diversity within the field. This study determined the current demographic landscape of aesthetic plastic surgery and evaluated whether underrepresented populations receive equal opportunities to be invited speakers at The Aesthetic Society meetings. METHODS: Invited speaker's names, roles, and allotted time for presentation were extracted from the 2017 to 2021 meeting programs. Perceived gender and ethnicity were determined by visual analysis of photographs, whereas parameters of academic productivity and professorship were collected from Doximity, LinkedIn, Scopus, and institutional profiles. Differences in opportunities to present and academic credentials were compared between groups. RESULTS: Of the 1447 invited speakers between 2017 and 2021, 20% (n = 294) were women and 23% (n = 316) belonged to a non-White ethnicity. Representation from women significantly increased between 2017 and 2021 (14% vs 30%, P < 0.001), whereas the proportion of non-White speakers did not (25% vs 25%, P > 0.050) despite comparable h-indexes (15.3 vs 17.2) and publications (54.9 vs 75.9) to White speakers. Non-White speakers oftentimes had more academic titles, significant in 2019 ( P < 0.020). CONCLUSIONS: The proportion of female invited speakers has increased, with room for further improvement. Representation from non-White speakers has not changed. However, significantly more non-White speakers holding assistant professor titles may indicate increased ethnicity diversity in years to come. Future efforts should focus on improving diversity in positions of leadership while promoting functions that target young minority career individuals.

Public Interest in the Off-Label Use of Glucagon-like Peptide 1 Agonists (Ozempic) for Cosmetic Weight Loss: A Google Trends Analysis.

Glucagon-like peptide 1 (GLP-1) agonists are a drug class used for the treatment of diabetes that have recently gained FDA approval for medical management of obesity. The off-label use of Ozempic (Novo Nordisk, Bagsværd, Denmark), the brand name of the GLP-1 agonist semaglutide, for cosmetic weight loss has been popularized by social media and celebrity influence. The aim of this study was to analyze with Google Trends (Alphabet Inc., Mountain View, CA) the recent search popularity of Ozempic and related GLP-1 agonists. The term "Ozempic" was analyzed with Google Trends. Search popularity was assessed in terms of relative search volume (RSV) over a 5-year period. Changes in RSV were further compared with other GLP-1 agonists, "Wegovy" (Novo NordisK) and "Mounjaro" (Eli Lilly and Company, Indianapolis, IN). Between March 2018 and February 2023, overall RSV in "Ozempic" grew exponentially in the United States. Simple linear regression analysis showed significantly increased RSV over time with an R2 of 0.915 and a regression coefficient of 0.957 (P < .001). When comparing "Ozempic," "Wegovy," and "Mounjaro" since June 2021 (FDA approval of Wegovy), Ozempic remained at the greatest RSV. One-way analysis of variance found statistically significant differences between the 3 search terms at all time points between December 2021 and February 2023 (P < .001). This study demonstrates a significant and growing public interest in Ozempic and related GLP-1 agonists. As the use of GLP-1 agonists for weight loss becomes more prevalent, plastic surgeons, particularly in the aesthetic setting, must be prepared for the downstream implications. Increased awareness, understanding, and further scientific studies led by plastic surgeons will help deliver the safest possible patient outcomes.

Overcoming Barriers to Board Certification.

This Viewpoint outlines 3 aspects of specialty board examinations that place undue burdens on candidates and proposes strategies to address these barriers.

Algorithm for Trim and Wedge Labiaplasties.

In the last decade labiaplasty procedures have been on the rise in the United States. The trim and the wedge are among the most commonly used techniques. The purpose of this paper is to provide a trim-wedge algorithm to guide the surgeon based on the qualities of the individual patient. The choice of technique should be based on the reasonable labiaplasty candidate's goals, her nicotine/cocaine usage, and the physical characteristics of her labia, including edge quality, texture, pigmentation, symmetry, morphology of protrusion, and labial length. By considering these individual patient factors, the trim-wedge algorithm may improve labiaplasty outcomes and increase patient satisfaction. Some surgeons perform only the wedge or only the trim, and no algorithm should alter that. After all, the best technique is always the one the surgeon performs comfortably and safely.

Cross-Sectional Analysis of Instagram Use in American Plastic Surgery Practices.

BACKGROUND: The growth of social media has transformed advertising within plastic surgery. Recent studies have characterized these developments, but objective analysis is needed. METHODS: This is a cross-sectional analysis of online media use by American Society of Plastic Surgeons members who received board certification in 2000, 2005, 2010, 2015, or 2019. Online searches and StatShow revealed social media and website metrics. Metropolitan-based practices were determined using Department of Agriculture continuum codes. Descriptive and quantitative analyses were used to make inferences regarding study aims. RESULTS: This study included 811 surgeons. A total of 58.6 percent had practice websites and 43.9 percent had professional Instagram accounts. Instagram use was widespread across subspecialties and there was no significant difference in the number of followers by subspecialty ( p = 0.34). Year of certification had no significant effect on the number of followers ( p = 0.12); however, recently certified and seasoned members had the fewest. The top 1 percent of surgeons had more followers than the remaining 99 percent combined. Those with metropolitan-based practices had significantly higher website traffic ( p = 0.01) but no difference in the number of followers ( p = 0.88). There was no evidence that the number of followers or posts per month correlated with website traffic ( R 2 = 0.004 and 0.036, respectively). CONCLUSIONS: The study demonstrates findings from a cross-sectional analysis of plastic surgeons from different training backgrounds, regions, and tenure. The use of Instagram in professional practice is widespread but there is no correlation between its use and increased website traffic.

Characteristics and Treatment of Patients Diagnosed With Paradoxical Adipose Hyperplasia After Cryolipolysis: A Case Series and Scoping Review.

BACKGROUND: Paradoxical adipose hyperplasia (PAH), a rare side effect of CoolSculpting (cryolipolysis), is characterized by fatty enlargement of the treatment area occurring months after the procedure. OBJECTIVES: The purpose of this study was to report a retrospective case series of patients diagnosed with PAH at the authors' institution, increase the collective understanding of this complication and subsequent management, and raise the question of who should ethically perform cryolipolysis. METHODS: All participants diagnosed with PAH by a plastic surgeon at a large academic medical center were identified. Demographic information, medical history, procedure details, time to PAH diagnosis, and corrective surgical intervention details were collected. Mean duration of time from cryolipolysis treatment to diagnosis of PAH was calculated, along with other descriptive statistics. A scoping review of all PAH literature published in PubMed, Embase, and Web of Science was also conducted. RESULTS: Four patients diagnosed with PAH after cryolipolysis were identified for inclusion in this study. The calculated incidence of PAH at our center was 0.67%. All patients requested therapy for PAH and subsequently underwent either liposuction, abdominoplasty, or both. The mean duration of in-person follow-up time after final surgical treatment of PAH was 13.8 + 19.8 months (range, 2.8-43.5). Fortunately, no patients showed signs of PAH recurrence, and 3 out of 4 patients did not show signs of residual deformity. CONCLUSIONS: Findings from this patient cohort and scoping review provide evidence that although revisions may be required, conventional body contouring methods, not in the armamentarium of non-plastic surgeon practitioners, effectively alleviated PAH.

The Positive Patient Experience: A Comprehensive Analysis of Plastic Surgery Online Reviews.

BACKGROUND: Subjective online physician evaluation is an important component of patient decision-making. Understanding reviews may improve satisfaction and build positive online reputation. OBJECTIVES: The aim of this study was to analyze and compare the top predictive factors driving patient satisfaction across the most popular plastic surgery procedures. METHODS: Online reviews were analyzed from RealSelf, Yelp, and Google for the 5 highest-rated plastic surgeons in 6 US metropolitan areas. Blank, non-English, consultation, duplicate, and unrelated reviews were excluded. Data from free-text reviews included physician rating, patient-reported reasons for rating, procedure, and complications. Univariate analysis was performed to compare predictive factors of online ratings. RESULTS: In total, 11,078 reviews were included. RealSelf had the highest average rating (4.77), and Yelp had the lowest (4.66). Reviews in Miami, Philadelphia, New York City, and Chicago were mostly published on RealSelf, whereas Houston and Los Angeles mostly used Google and Yelp, respectively. Reconstructive procedures were rated significantly higher than cosmetic procedures (P = 0.035). Aesthetic appearance was the strongest predictor of rating across all procedures. Buccal fat removal (98.8%) and abdominoplasty (98.1%) had the highest satisfaction, and Brazilian butt lift had the lowest (88.2%) (P < 0.001). Additional significant contributors included staff interaction, bedside manner, health outcomes, complications, and postoperative care (P < 0.001). CONCLUSIONS: Although aesthetic outcome is an important predictor of satisfaction, other aspects of care, such as bedside manner and staff interaction, provide an important foundation of support. Excellent patient-surgeon communication and postoperative care may mitigate patient dissatisfaction and elicit high-satisfaction online patient reviews.