关键词: LRR autologous fat grafting breast cancer breast reconstruction lipofilling recurrence

来  源:   DOI:10.3390/jcm13154369   PDF(Pubmed)

Abstract:
Background: Autologous fat grafting (AFG) has emerged as a useful technique in breast reconstruction. Utilizing a patient\'s own fat from areas like the abdomen or thighs, AFG serves various reconstruction needs. Nevertheless, the oncological safety of AFG in breast cancer patients has become a contentious issue. Concerns about its influence on cancer recurrence and detention have led to significant clinical debate and the need for thorough investigation. Methods: To determine the impact of autologous fat grafting (AFG) on loco-regional recurrence (LRR) in breast cancer survivors undergoing reconstruction, a comprehensive search of databases including PubMed, Medline, Web of Science, and Cochrane libraries was conducted from November 2023 through March 2024. This search adhered to the PRISMA guidelines and aimed to identify all the relevant studies on AFG in the context of breast reconstruction post cancer treatment. A meta-analysis was performed. Results: Out of the studies reviewed, 40 met the inclusion criteria, with a total patient cohort of 14,078. The analysis revealed that AFG had no significant association with increased rates of LRR. Conclusions: According to the available literature, AFG is a safe reconstructive option for breast cancer patients and does not increase the risk of loco-regional recurrence. Nevertheless, further well-structured long-term prospective studies are required, since heterogeneity of available studies is high and requires standardization.
摘要:
背景:自体脂肪移植(AFG)已成为乳房重建中的一种有用技术。利用病人自己的脂肪从腹部或大腿等部位,AFG满足各种重建需求。然而,AFG在乳腺癌患者中的肿瘤安全性已成为一个有争议的问题.对其对癌症复发和滞留的影响的担忧导致了重大的临床辩论和彻底调查的需要。方法:确定自体脂肪移植(AFG)对接受重建的乳腺癌幸存者局部区域复发(LRR)的影响。全面搜索数据库,包括PubMed,Medline,WebofScience,Cochrane图书馆于2023年11月至2024年3月进行。此搜索符合PRISMA指南,旨在确定AFG在癌症治疗后乳房重建背景下的所有相关研究。进行了荟萃分析。结果:在审查的研究中,40符合纳入标准,总患者队列为14,078。分析显示,AFG与LRR的增加没有显着关联。结论:根据现有文献,AFG是乳腺癌患者的安全重建选择,不会增加局部区域复发的风险。然而,需要进一步的结构良好的长期前瞻性研究,因为现有研究的异质性很高,需要标准化。
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