En Bloc Capsulectomy for Breast Implant Illness: A Social Media Phenomenon?

Complications of Aesthetic and Reconstructive Breast Implant Capsulectomy: An Analysis of 7486 Patients Using Nationwide Outcomes Data

BACKGROUND

Despite increasing demand for breast capsular surgery to treat various benign and malignant implant-related pathologies, high-quality evidence elucidating complication profiles of capsulectomy and capsulotomy is lacking.

OBJECTIVES

The aim of this study was to provide the largest-scale analysis of associated outcomes and complications using the Tracking Operations and Outcomes for Plastic Surgeons (TOPS) database, and to investigate clinical scenarios that may subject patients to increased risks for complications, most notably extent of capsular surgery (complete vs partial) and index indication of implantation (aesthetic vs reconstructive).

METHODS

An analysis of the TOPS database from 2008 to 2019 was performed. CPT codes were used to identify complete capsulectomy and partial capsulectomy/capsulotomy cases. Breast implant exchange procedures constituted procedural controls.

RESULTS

In total, 7486 patients (10,703 breasts) undergoing capsulectomy or capsulotomy were assessed. Relative to controls, capsulectomy (4.40% vs 5.79%), but not capsulotomy (4.40% vs 4.50%), demonstrated higher overall complication rates. Both capsulectomies (0.83% vs 0.23%) and capsulotomies (0.56% vs 0.23%) also had greater rates of seroma relative to controls. Subgroup analyses demonstrated that reconstructive patients, relative to aesthetic patients, experienced greater overall complications (6.76% vs 4.34%), and increased risks for seroma (1.06% vs 0.47%), dehiscence (0.46% vs 0.14%), surgical site infections (1.03% vs 0.23%), and implant loss (0.52% vs 0.23%). A detailed synthesis of 30-day outcomes, including all patient- and breast-specific complications, for both capsulectomy and capsulotomy, stratified according to all potential confounders, is presented herein.

CONCLUSIONS

Surgeries on the breast capsule are safe overall, although complete capsulectomies and reconstructive patients are associated with significantly increased operative risks. The present findings will enhance patient selection, counseling, and informed consent.

LEVEL OF EVIDENCE: 3

Breast Implant Illness as a Clinical Entity: A Systematic Review of the Literature

BACKGROUND

Breast implant illness (BII) has become a contentious subject in recent years. Although some studies have reported associations between breast implants and autoimmune diseases, others have failed to establish a definitive link.

OBJECTIVES

The objective of this study was to provide a comprehensive, up-to-date evaluation of the literature surrounding BII, with an emphasis on identifying patient-related factors that may be associated with BII.

METHODS

A systematic review was performed following PRISMA guidelines by searching the PubMed (MEDLINE), Embase, and Cochrane databases for relevant studies published in the last 20 years.

RESULTS

Thirty-one studies were included, which covered 39,505 implant patients with a mean [standard deviation] age of 44.2 [9.30] years. Fifteen studies reported implant explantation status, with 72.4% patients choosing to remove their implants. Among these, 9 studies reported symptom improvement in 83.5% patients. Fifty-three percent of patients undergoing explantation had total capsulectomy. Twenty-eight studies documented total numbers of patients experiencing symptoms related to BII, with 31.3% patients reporting such symptoms. Among these, 16 studies of 4109 BII patients distinguished whether the reason for implantation was cosmetic augmentation or reconstruction. When specified, more patients experiencing BII-related symptoms received implants for "cosmetic" vs "reconstructive" reasons (cosmetic, 3864/4109 [94.0%] vs reconstruction, 245/4109 [5.96%]; P < .001).

CONCLUSIONS

This review provides an overview of the current state of knowledge regarding BII. The study highlights a potential relationship between BII and indication for implants (cosmetic vs reconstructive) among other variables, offering valuable insight on factors associated with BII and directions for future research.

LEVEL OF EVIDENCE: 3

Utility and Comparative Performance of Current Artificial Intelligence Large Language Models as Postoperative Medical Support Chatbots in Aesthetic Surgery

BACKGROUND

Large language models (LLMs) have revolutionized the way plastic surgeons and their patients can access and leverage artificial intelligence (AI).

OBJECTIVES

The present study aims to compare the performance of 2 current publicly available and patient-accessible LLMs in the potential application of AI as postoperative medical support chatbots in an aesthetic surgeon's practice.

METHODS

Twenty-two simulated postoperative patient presentations following aesthetic breast plastic surgery were devised and expert-validated. Complications varied in their latency within the postoperative period, as well as urgency of required medical attention. In response to each patient-reported presentation, Open AI's ChatGPT and Google's Bard, in their unmodified and freely available versions, were objectively assessed for their comparative accuracy in generating an appropriate differential diagnosis, most-likely diagnosis, suggested medical disposition, treatments or interventions to begin from home, and/or red flag signs/symptoms indicating deterioration.

RESULTS

ChatGPT cumulatively and significantly outperformed Bard across all objective assessment metrics examined (66% vs 55%, respectively; P < .05). Accuracy in generating an appropriate differential diagnosis was 61% for ChatGPT vs 57% for Bard (P = .45). ChatGPT asked an average of 9.2 questions on history vs Bard's 6.8 questions (P < .001), with accuracies of 91% vs 68% reporting the most-likely diagnosis, respectively (P < .01). Appropriate medical dispositions were suggested with accuracies of 50% by ChatGPT vs 41% by Bard (P = .40); appropriate home interventions/treatments with accuracies of 59% vs 55% (P = .94), and red flag signs/symptoms with accuracies of 79% vs 54% (P < .01), respectively. Detailed and comparative performance breakdowns according to complication latency and urgency are presented.

CONCLUSIONS

ChatGPT represents the superior LLM for the potential application of AI technology in postoperative medical support chatbots. Imperfect performance and limitations discussed may guide the necessary refinement to facilitate adoption.

Comprehensive Systematic Review of Breast Implant Illness: Symptoms, Management, and Long-Term Outcomes

BACKGROUND

Breast augmentation using silicone implants is common, with over 300,000 annual US surgeries. It was initially approved in 1962, there were safety concerns with the use of silicone implants, leading to a 1992-2006 FDA moratorium. Recently, Breast Implant Illness (BII) was described as a cluster of symptoms associated with silicone implants, with a lack of diagnostic criteria, which increased the likelihood of implant removal and a variety of treatment options. This comprehensive review aims to shed light on the extent, symptoms, management, and outcomes of BII.

METHODS

Multiple electronic databases were systematically searched in May 2023 for studies on Breast Implant Illness utilizing terms related to BII and its symptoms, diagnosis, and treatment. Out of 1204 studies, 20 met the inclusion criteria and were included in the systematic review. The Newcastle-Ottawa Scale for the included cohort prospective and retrospective studies, and the tool for evaluating the methodological quality of case reports and case series were utilized during quality assessment.

RESULTS

There were 20 papers on Breast Implant Illness published between 1995 and 2022, including a peak of papers published in 2020 and 2022. The majority of the studies came from the USA, with a variety of research methods, including case reports. Reports of arthralgia and fatigue were common findings. These symptoms were frequently alleviated by surgical procedures such as en bloc explantation and capsulectomy, highlighting the intricacy of the problem and the need for individualized treatment plans.

CONCLUSION

The review underscores the critical need for further research into BII, advocating for a multidisciplinary strategy that prioritizes patient safety, informed decision-making, and comprehensive care. As the medical community progresses in understanding and managing BII, emphasizing evidence-based practices and patient-provider communication will be essential in addressing this complex condition effectively.

LEVEL OF EVIDENCE III

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Extracting big data from the internet to support the development of a new patient-reported outcome measure for breast implant illness: a proof of concept study

PURPOSE

Individuals with health conditions often use online patient forums to share their experiences. These patient data are freely available and have rarely been used in patient-reported outcomes (PRO) research. Web scraping, the automated identification and coding of webpage data, can be employed to collect patient experiences for PRO research. The objective of this study was to assess the feasibility of using web scraping to support the development of a new PRO measure for breast implant illness (BII).

METHODS

Nine publicly available BII-specific web forums were chosen post-consultation with two prominent BII advocacy leaders. The Python Selenium and Pandas packages were used to automate extraction of de-identified text from the individual posts/comments into a spreadsheet. Data were coded using a line-by-line approach and constant comparison was used to create top-level domains and sub-domains.

RESULTS

6362 unique codes were identified and organized into four top-level domains of information needs, symptom experiences, life impact of BII, and care experiences. Information needs of women included seeking/sharing information pre-breast implant surgery, post-breast implant surgery, while contemplating explant surgery, and post-explant surgery. Symptoms commonly described by women included fatigue, brain fog, and musculoskeletal symptoms. Many comments described BII's impact on daily activities and psychosocial wellbeing. Lastly, some comments described negative care experiences and experiences related to advocating for themselves to providers.

CONCLUSION

This proof-of-concept study demonstrated the feasibility of employing web scraping as a cost-effective, efficient method to understand the experiences of women with BII. These data will be used to inform the development of a BII-specific PROM.

Results of a patient survey using an online questionnaire after implant removal for breast implant illness

The use of silicone breast implants has a history of over 60 years. In recent years, specific health issues among implant wearers have repeatedly come into focus. The term "breast implant illness" has been circulating in scientific literature and on social media for several years. It describes a cluster of up to 60 different symptoms. The present results of an online survey conducted within a clinic's patient population of the last 8 years show, among other things, the evolution of 8 reported symptoms before and after breast implant removal. In the comparison before and after, there is a significant reduction in the intensity of symptoms after implant removal. A causal relationship with the removal of the implants is to be presumed.

Breast silicone implants' pericapsular impairment: current underdiagnosed status

Many complications related to silicone implants have been reported recently, from clinical symptoms manifestations to association with some specific types of cancer. During the early 2010s, it was believed that implants were biocompatible and inert to the human body and that gel bleeding/leakage events were rare and without repercussions for the human body. However, at the end of 2010s, several studies pointed out that gel bleeding was more frequent than previously believed, and the pathogenic potential of free silicone should not be ignored. The Food and Drug Administration recommends performing magnetic resonance imaging in asymptomatic patients 5-6 years after implant placement. The descriptors in the Breast Imaging and Reporting Data System lexicon seem outdated for classifying the new generations of implants with cohesive gel, which hinders the diagnosis of device complications. In this review, supported by our research data publications related to silicone implants for 6 years on a prospective study protocol, most of them being original articles, we summarized the main complications observed in clinical practice and discuss the impact of these changes on patients' outcomes focusing on the pericapsular space.

Breast Implant Illness: Surgical, Autoimmune, and Breast Reconstruction Associations

Breast implant illness refers to a combination of different symptoms related to breast implant surgery, including fatigue, brain fog, and arthralgias. This malaise occurs after cosmetic and reconstructive breast surgeries, although it has not been proven to be a disease. Even recent studies have reported concluding statements of the etiology, diagnosis, and treatment as unclear and widely unknown. Therefore, this review aimed to determine the associations between the manifestations of breast implant illness in surgery and breast reconstruction, as well as the autoimmune responses involved. Complications associated with breast implants include breast pain, capsular contracture, infections, as well as other manifestations specific to breast reconstruction. Moreover, patients with implants may present with new-onset systemic sclerosis, Sjögren’s syndrome, and connective tissue diseases. However, the incidence of capsular contracture has steadily decreased with each generation of implants, particularly since the development of textured implants, as well as with the use of antibiotics and antiseptic pocket irrigation. However, the incidence of anaplastic large cell lymphoma has increased with the use of textured implants. Remarkably, the autoimmune response to these implants remains unclear. Therefore, close follow-up, careful observation of any symptom presentation, and evidence-based treatment decisions are necessary for patients with breast implants.

Complications of Capsulectomies: An Analysis of the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) Database

Background

Although plastic surgeons commonly perform capsulectomies for a variety of peri-prosthetic capsular conditions, the safety of capsulectomy remains unknown, and the literature lacks evidence describing its morbidity and complication rates for patients inquiring about its associated risks.

Objectives

The present study aims to identify and define the complication rates associated with capsulectomies.

Methods

An analysis of the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was performed between the years 2015 and 2018. All information pertaining to demographics, patient-related information, surgical indications, procedure-related information, outcomes, and complications were assessed.

Results

The study identified 2231 cases of surgeon-reported capsulectomies; indications most commonly reported included capsular contracture (n = 638, 28.6%) and breast implant rupture (n = 403, 18.1%). In total, 141 patients (6.32%) were hospitalized for longer than 1 postoperative day (range, 2-28 days), while the overall complication rate was 3.0% (n = 67/2231 patients). Incidence of minor complications, representing superficial surgical site infections, was 0.8%, while the major complication rate was 2.24%. These included 7 cases of deep surgical site infections (0.3%), 19 organ space infections (0.9%), and 8 cases of wound dehiscence (0.4%). Eight patients developed sepsis (0.4%); 6 patients required transfusions (0.3%); 1 case of postoperative pneumonia and 1 myocardial infarction were also identified (n = 1 each, 0.0%). The overall reoperation and readmission rates were 2.0%, representing a readmission rate of 66% among patients with complications.

Conclusions

The present study provides the first estimate of the incidence of complications associated with capsulectomies. Although the NSQIP database contains significant limitations, the data presented herein describe a complication profile that plastic surgeons can share with their patients during informed consent.

Level of Evidence: 4

Understanding Breast Implant Illness: Etiology is the Key

Because breast augmentation is one of the most popular cosmetic procedures, the issue of implant-related complications has been widely debated ever since the FDA approved the use of implants in 1962. Although decades have passed, breast implant illness (BII) still represents a poorly defined and controversial complication. With ongoing nonscientific discussion in the mainstream media and on social media, revealing the etiology of BII is urgent because knowledge of this subject ultimately influences patients' decisions. Little or no scientific research is currently available on BII and no final conclusions regarding its etiology, clinical manifestations, diagnostic criteria, or treatment have been made. This review aims to give an overview of the hypotheses on the etiology of BII and seeks inspiration to improve the conditions of BII patients.

Breast Implant Illness (BII): Real Syndrome or a Social Media Phenomenon? A Narrative Review of the Literature

Breast implant illness (BII) is a condition characterized by elusive diagnostic criteria and self-reported diverse disabling and distressing physical and psychological symptoms. With currently significant increase in public awareness, BII is perhaps becoming the most controversial subject in aesthetic and reconstructive breast surgery, generating heated debates between those who do not believe such a condition exists and those who demand its acceptance as a recognized diagnosis. Silicone incompatibility has been associated with "autoimmune/inflammatory syndrome induced by adjuvants" (ASIA syndrome) or Shoenfeld's syndrome. It is still unclear, however, whether BII symptoms would have occurred if no implants had been placed in the first place. The purpose of this literature review is to analyze critically the current state of scientific evidence related to this condition. Though the psychosomatic theory is most likely, the mechanism of BII symptoms is probably multifactorial. At present, BII being an underlying connective tissue disorder cannot be confirmed; moreover, whether improved aesthetic outcome and patient's overall satisfaction with the profile of their reconstructed or augmented breasts translate into decreased self-reported BII symptoms is still not well elucidated. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Contextualizing Breast Implant Removal Patterns with Google Trends: Big Data Applications in Surgical Demand

The demand for breast implant removal (BIR) has increased substantially in recent years. This study leveraged large datasets available through Google Trends to understand how changes in public perception could be influencing surgical demand, both geographically and temporally.

A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness

Background

A new illness can come to public attention through social media before it is medically defined, formally documented, or systematically studied. One example is a condition known as breast implant illness (BII), which has been extensively discussed on social media, although it is vaguely defined in the medical literature.

Objective

The objective of this study is to construct a data analysis pipeline to understand emerging illnesses using social media data and to apply the pipeline to understand the key attributes of BII.

Methods

We constructed a pipeline of social media data analysis using natural language processing and topic modeling. Mentions related to signs, symptoms, diseases, disorders, and medical procedures were extracted from social media data using the clinical Text Analysis and Knowledge Extraction System. We mapped the mentions to standard medical concepts and then summarized these mapped concepts as topics using latent Dirichlet allocation. Finally, we applied this pipeline to understand BII from several BII-dedicated social media sites.

Results

Our pipeline identified topics related to toxicity, cancer, and mental health issues that were highly associated with BII. Our pipeline also showed that cancers, autoimmune disorders, and mental health problems were emerging concerns associated with breast implants, based on social media discussions. Furthermore, the pipeline identified mentions such as rupture, infection, pain, and fatigue as common self-reported issues among the public, as well as concerns about toxicity from silicone implants.

Conclusions

Our study could inspire future studies on the suggested symptoms and factors of BII. Our study provides the first analysis and derived knowledge of BII from social media using natural language processing techniques and demonstrates the potential of using social media information to better understand similar emerging illnesses.

Current Challenges in Breast Implantation

Breast implantation (BI) is the most common plastic surgery worldwide performed among women. Generally, BI is performed both in aesthetic and oncoplastic procedures. Recently, the prevalence of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) or breast implant illness (BII) has aroused concerns. As a result, several countries, like Australia, Korea or the United Kingdom, introduced national registries dedicated to the safety and quality of BI surgeries. This narrative review aimed to focus on the clinical challenges, management and the current state of knowledge of BI. Both short and long-term outcomes of BI are determined by various alternatives and differences, which surgeons must consider during the planning and performing breast augmentation along with further complications or risk of reoperation. Proper preoperative decisions and aspects of surgical technique emerged to be equally important. The number of performed breast reconstructions is increasing, providing the finest aesthetic results and improving patient’s quality of life. Choice of prosthesis varies according to individual preferences and anatomical variables. A newly diagnosed cases of BIA-ALCL with lacking data on prevention, diagnosis, and treatment are placing it as a compelling medical challenge. Similarly, BII remains one of the most controversial subjects in reconstructive breast surgery due to unspecified diagnostic procedures, and recommendations.

Analysis of Popular Social Media Addressing Breast Augmentation, Implants, and Anaplastic Large Cell Lymphoma

Background

Social media is part of modern life, for better or worse. Patients seek counsel on treatments, their side-effects, and the surgeon performing the surgery. Previous study has found several "dos" and "don'ts" regarding social media. The aim of this study was to specifically look for social media posts addressing breast augmentation, breast implants, and breast implant associated anaplastic large cell lymphoma (BIA-ALCL).The aims of this study were to examine social media posting regarding BIA-ALCL and to analyze the ways general public receive information regarding this disease.

Methods

A prospective analysis of 3 popular, global social media networks was performed, using the key phrase in English "anaplastic large cell lymphoma" or "ALCL" or "#ALCL." Three hundred posts related to breast cancer published on Instagram, YouTube, and Facebook in June 2018 were assessed by the following parameters: author identity, subject, "social media currency" (likes, shares, comments), presence of special effects (videos, photographs, research, etc.).

Results

Most posts were posted by professional entity (ie, plastic surgeon, company, or general practitioner), with YouTube being the social media least used by patients (P < 0.001). Facebook was the only social network that had more posts authored by non-professional authors (P < 0.001). Social currency did not change between the professional and non-professional authors. The highest return for investment was seen on Instagram (P < 0.001, "likes" only). YouTube, having the most posts published by professionals, was more positive toward breast augmentation and the use of implants (P < 0.001).

Conclusions

Social media is here to stay and not a trend. It is a tool for the patient when searching for treatment and surgeon. It would be wise to invest and understand these communication platforms, since this is where our patients are, and the way they are researching.

Adjunctive Procedures and Informed Consent with Breast Implant Explantation

BACKGROUND

The use of injectable or implantable materials or devices in the breast for augmentation or reconstruction has a history of innovation and controversy. Staying current in the field of breast implant management today means understanding not just the published literature but also its absence. Cutting edge breast implant treatment also means awareness of patient and media-driven interests and requests.

METHODS

Adjuvant treatments to optimize physical and psychological well-being with breast implant explantation, without replacement, will be addressed through literature review and analysis.

RESULTS

The body of literature demonstrates evidence of variable, and sometimes contradictory, methods to address adjunctive management of systemic concerns, the capsule, soft tissue of the native breast/chest, and treatment timing related to explantation. Few approaches are supported by very strong evidence. Many treatment methodologies are defensible. Any current attempts at optimizing management in patients undergoing explantation will be somewhat impaired by the ongoing nebulousness of related issues, such as breast implant illness. It seems clear, therefore, that plastic surgeons must fulfill their duty as caregivers to provide explantation surgery, either to attempt to improve physical health, mental well-being, or simply to respect patients' wishes. A well-informed surgeon will likely employ a variety of approaches, adapted to the unique patient presentations at hand.

CONCLUSION

It is expected that consultations, incisions, tissue rearrangements, surgical timing, and treatment indications will continue to vary as scientific investigation strives to understand and to optimize treatment of patients experiencing difficulty with breast implants.