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2025 英卡思巴黎国际年会
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BIA diseases: Myth or reality

会议室： Room 242 - Level 2
日期： 2025年 1月 30日星期四从 16:00 至 17:00
组织形式： 聚焦课程 > 涵盖大会的一个主要议题

主席

Nathalie BRICOUT 医师

整形外科医师

法国

Sebastien GARSON 医师

整形外科医师

法国

Bouraoui KOTTI 医师

整形外科医师

阿拉伯联合酋长国

本场演讲内容

小时	讲者	演讲标题	讲稿摘要	数字
16:00	Melinda HAWS 医师	Current status of BIA-ALCL, BIA-SCC, and BII in the US	查看	140147
16:14	Cole HOLAN 医师	Analyzing sentiment of breast implant illness on social media with natural language processing and deep learning	查看	144164
16:28	Isabelle PLUVY 医师	Breast implant silicone exposure induces immunogenic response and autoimmune markers in human periprosthetic tissue	查看	145145
16:42		Discussion and Q&A		140153

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乳房假体植入

隆胸

乳癌与乳房重塑

Melinda HAWS 医师

整形外科医师

美国

其他作者 : Includes review of papers published by Caroline Glicksman MD and Pat McGuire MD

Current status of BIA-ALCL, BIA-SCC, and BII in the US

Objectives: To update the audience on latest research in BII as well as current FDA counts of SCC and ALCL with breast implants and how this is incorporated into a breast implant consult so that the patient is well educated and can make informed decisions

Introduction: The FDA is still tracking cases of BIA SCC and BIA ALCL world wide. Incidence and mortality data will be reviewed. In addition, review of 5 papers funded by ASERF published in ASJ regarding systemic symptoms with breast implants will be reviewed

Materials / method: Review of FDA website data and its implications. Review of the four papers on SSBI (BII) in the 150 patient initial study as well as the 100 patients in the follow up no capsulectomy study will be reviewed.

Results: The FDA still Indicates a low incidence of BIA SCC, and never found in a normal capsule. The FDA indicates there are still deaths occurring from BIA ALCL despite evidence to show a very curable disease if discovered early.

The SSBI (BII) papers found no cause for symptoms in the SSBI group as compared to the 2 control groups. Pathology, heavy metals, and microbiology were all performed on the capsules. Serum levels of various cytokines, endotoxins or other abnormalities were not found. In the BII cohort there was a significant drop off of symptoms after implant removal

Conclusion: Practioners should still watch and testfor BIA ALCL and SCC. Patients complaining of SSBI (BII) have statistically symptom improvement after implant removal despite negative causative findings regardless of whether capsule is removed or not. The only symptom that never approaches baseline is anxiety. True incidence of BIA SCC and BIA ALCL and their warning signs as well as occurrence of SSBI(BII) should be discussed with preop breast implant patients. Higher anxiety levels in those SSBI patients should be discussed, particularly in patients with preexisting anxiety.

利益冲突声明

您有否接受任何资金来支持研究这个主题？
是
请注明名称（个人，公司，学会等等）: ASERF. The Aesthetic Foundation

您是否接受过关于这项研究的任何酬金或其他报酬？
否

你是否和任何与您的研究所涉及的药物，材料或工具有密切联系的实体存在财务关系？
否

你是否拥有或者您已经为您此研究中的工具，药物或材料申请任何专利？
否

这项工作的完成感谢以下机构的支持： ASERF

Cole HOLAN 医师

整形外科医师

美国

其他作者 : Arman Fijany, MD, Jorys Martinez, MD

Analyzing sentiment of breast implant illness on social media with natural language processing and deep learning

Objectives: The study aims to analyze social media posts to understand patient perceptions and emotions regarding BII and to assess the relationship between the sentiment of these posts and breast implant removal rates.

Introduction: Breast Implant Illness (BII) is identified by patients as a range of symptoms related to breast implants, with increasing public interest despite no conclusive research on causality. Social media has become a key platform for sharing patient experiences and perceptions of BII. The RoBERTa NLP model, trained on extensive social media data, offers insights into these discussions.

Materials / method: Posts mentioning BII from January 2014 to December 2023 on platform X were collected and analyzed using two NLP models: a binary sentiment model and an emotion-based model. The models categorized posts as positive or negative and identified dominant emotions. Correlations between post sentiments, emotions, and implant removal data were examined using the Pearson correlation coefficient.

Results: Out of 6,099 posts over ten years, the majority were negative (75.4%), with neutrality (35.9%) and fear (35.6%) being the most common emotions. Excluding neutral posts, fear dominated 55.5% of the discourse. A strong positive correlation (r > 0.80) was found between negative, neutral, and fear posts and the rates of implant removal.

Conclusion: The analysis reveals that discussions on BII are mainly negative, with a significant focus on fear, which correlates with the increase in breast implant removals. This highlights the role of NLP in understanding patient sentiments and aiding healthcare providers in addressing patient concerns.

利益冲突声明

您有否接受任何资金来支持研究这个主题？
否

您是否接受过关于这项研究的任何酬金或其他报酬？
否

你是否和任何与您的研究所涉及的药物，材料或工具有密切联系的实体存在财务关系？
否

你是否拥有或者您已经为您此研究中的工具，药物或材料申请任何专利？
否

这项工作没有任何直接或间接的资金支持。由作者自己承担责任。

Isabelle PLUVY 医师

整形外科医师

法国

其他作者 : I Brigaud, E Randrianaridera, M Melin, F Gindraux, K Anselme

Breast implant silicone exposure induces immunogenic response and autoimmune markers in human periprosthetic tissue

Objectives: We present a pilot study investigating the inflammatory characteristics of human periprosthetic tissue following silicone exposure. In particular, we focus on changes in (i) tissue organization and (ii) transcriptomic signatures of human periprosthetic tissues exposed to different sources of silicone with respect to implant integrity (intact or ruptured), surface texturing (macro- or microtexturing) and implant filling (silicone gel or serum). This work provides new insights into the immunological mechanisms triggered by silicone, and, once again, challenges the concept of silicone safety.

Introduction: Silicone-based breast implants are commonly used, but there are concerns about theirlong-term safety. While implantation results in the formation of a periprosthetic tissue that isolates the implant from the rest of the host body, silicone can leak and reach surrounding tissues.

Materials / method: We combined histological analysis and gene expression profiling (RNA sequencing) of samples from human patients with silicone breast implants with different fillers (silicone or serum), surface topographies and/or shell rupture, and performed systematic cross-comparisons.

Results: Our study shows that exposure to silicone gel filler, even in clinically asymptomatic cases, induces an immune response. This response includes the expression of markers associated with various autoimmune diseases. We found an upregulation in the expression of genes encoding metalloproteinases (mmp1 and mmp9), onco-inflammatory markers (tnfsf13) and other genes associated with chronic inflammation such as il18, nlrc4, blnk or pycard and tnsfs14, both previously identified as diagnostic markers for rheumatoid arthritis.

Conclusion: This study provides the first biological evidence of an association between
silicone implants and autoimmune markers, highlighting the need for further research and stricter implant safety regulations. We suggest that implant design factors, such as filler type and surface texture, may influence the inflammatory response. Re-evaluation of existing clinical trials is warranted to investigate the association between implant characteristics and potential health risks.

利益冲突声明

您有否接受任何资金来支持研究这个主题？
是
请注明名称（个人，公司，学会等等）: Agence Nationale de la Recherche ANR “Safe-implant” (ANR-22-CE19-0028-01)

您是否接受过关于这项研究的任何酬金或其他报酬？
否

你是否和任何与您的研究所涉及的药物，材料或工具有密切联系的实体存在财务关系？
否

你是否拥有或者您已经为您此研究中的工具，药物或材料申请任何专利？
否

这项工作的完成感谢以下机构的支持： Agence Nationale de la Recherche ANR “Safe-implant” (ANR-22-CE19-0028-01)

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2025 英卡思巴黎国际年会 大会日程

BIA diseases: Myth or reality

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