A Predictive Model for Breast Tissue Resection Weight in Vertical-Scar Reduction Mammoplasty.

IF 2 3区 医学 Q2 SURGERY
Haoran Li, Yan Lin, Zhengyao Li, Tongtong Zhang, Leijuan Gan, Dali Mu
{"title":"A Predictive Model for Breast Tissue Resection Weight in Vertical-Scar Reduction Mammoplasty.","authors":"Haoran Li, Yan Lin, Zhengyao Li, Tongtong Zhang, Leijuan Gan, Dali Mu","doi":"10.1007/s00266-025-04713-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Breast reduction surgery is currently the most critical treatment for macromastia. Preoperatively, patients are not only concerned about the surgical outcomes and potential complications but also about the amount of breast tissue that can be resected. Previous studies have proposed formulas to predict the amount of resected breast tissue; however, these studies often suffer from limited variables and small sample sizes, leading to less accurate predictions. Therefore, this study aims to develop a more accurate predictive model for breast tissue resection in breast reduction surgery by incorporating a greater number of variables, providing better clinical guidance.</p><p><strong>Methods: </strong>Retrospective data from 360 patients (711 sides) who underwent vertical-scar reduction mammoplasty were collected. The data included preoperative patient information such as age, height, weight, BMI, and breast surface measurements, along with the accurately measured weight of breast tissue resected from each side during surgery. Statistical analysis was performed on the data, and multiple linear regression was used to determine the relationship between these variables and the weight of the resected breast tissue.</p><p><strong>Results: </strong>The formula established is as follows: Breast tissue resection weight (g) = (15 × Sternal Notch-to-Nipple + 10 × Clavicle-to-Nipple + 23 × Nipple-to-Inframammary Fold + 10 × BMI + 6 × Inter-Nipple distance + 8 × Midline-to-Nipple)-1023.</p><p><strong>Conclusions: </strong>This predictive model for breast tissue resection weight in vertical-scar reduction mammoplasty represents an empirical summary of clinical data. Implementing this model can aid surgeons in preoperatively estimating resection weight, ultimately improving surgical outcomes and increasing patient satisfaction.</p><p><strong>Level of evidence iv: </strong>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 .</p>","PeriodicalId":7609,"journal":{"name":"Aesthetic Plastic Surgery","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aesthetic Plastic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00266-025-04713-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Breast reduction surgery is currently the most critical treatment for macromastia. Preoperatively, patients are not only concerned about the surgical outcomes and potential complications but also about the amount of breast tissue that can be resected. Previous studies have proposed formulas to predict the amount of resected breast tissue; however, these studies often suffer from limited variables and small sample sizes, leading to less accurate predictions. Therefore, this study aims to develop a more accurate predictive model for breast tissue resection in breast reduction surgery by incorporating a greater number of variables, providing better clinical guidance.

Methods: Retrospective data from 360 patients (711 sides) who underwent vertical-scar reduction mammoplasty were collected. The data included preoperative patient information such as age, height, weight, BMI, and breast surface measurements, along with the accurately measured weight of breast tissue resected from each side during surgery. Statistical analysis was performed on the data, and multiple linear regression was used to determine the relationship between these variables and the weight of the resected breast tissue.

Results: The formula established is as follows: Breast tissue resection weight (g) = (15 × Sternal Notch-to-Nipple + 10 × Clavicle-to-Nipple + 23 × Nipple-to-Inframammary Fold + 10 × BMI + 6 × Inter-Nipple distance + 8 × Midline-to-Nipple)-1023.

Conclusions: This predictive model for breast tissue resection weight in vertical-scar reduction mammoplasty represents an empirical summary of clinical data. Implementing this model can aid surgeons in preoperatively estimating resection weight, ultimately improving surgical outcomes and increasing patient satisfaction.

Level of evidence iv: 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 .

求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.40
自引率
25.00%
发文量
479
审稿时长
3 months
期刊介绍: Aesthetic Plastic Surgery is a publication of the International Society of Aesthetic Plastic Surgery and the official journal of the European Association of Societies of Aesthetic Plastic Surgery (EASAPS), Società Italiana di Chirurgia Plastica Ricostruttiva ed Estetica (SICPRE), Vereinigung der Deutschen Aesthetisch Plastischen Chirurgen (VDAPC), the Romanian Aesthetic Surgery Society (RASS), Asociación Española de Cirugía Estética Plástica (AECEP), La Sociedad Argentina de Cirugía Plástica, Estética y Reparadora (SACPER), the Rhinoplasty Society of Europe (RSE), the Iranian Society of Plastic and Aesthetic Surgeons (ISPAS), the Singapore Association of Plastic Surgeons (SAPS), the Australasian Society of Aesthetic Plastic Surgeons (ASAPS), the Egyptian Society of Plastic and Reconstructive Surgeons (ESPRS), and the Sociedad Chilena de Cirugía Plástica, Reconstructiva y Estética (SCCP). Aesthetic Plastic Surgery provides a forum for original articles advancing the art of aesthetic plastic surgery. Many describe surgical craftsmanship; others deal with complications in surgical procedures and methods by which to treat or avoid them. Coverage includes "second thoughts" on established techniques, which might be abandoned, modified, or improved. Also included are case histories; improvements in surgical instruments, pharmaceuticals, and operating room equipment; and discussions of problems such as the role of psychosocial factors in the doctor-patient and the patient-public interrelationships. Aesthetic Plastic Surgery is covered in Current Contents/Clinical Medicine, SciSearch, Research Alert, Index Medicus-Medline, and Excerpta Medica/Embase.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信