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

IF 2.8 3区医学 Q2 SURGERY Aesthetic Plastic Surgery Pub Date : 2025-02-07 DOI:10.1007/s00266-025-04713-2

Haoran Li, Yan Lin, Zhengyao Li, Tongtong Zhang, Leijuan Gan, Dali Mu

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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.

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垂直减疤乳房成形术中乳房组织切除重量的预测模型。

背景：缩乳手术是目前治疗巨乳症最关键的方法。术前，患者不仅关心手术结果和潜在的并发症，还关心可以切除的乳腺组织的数量。先前的研究提出了预测切除乳腺组织数量的公式；然而，这些研究往往受到有限的变量和小样本量的影响，导致预测不太准确。因此，本研究旨在通过纳入更多的变量，建立更准确的缩乳手术中乳腺组织切除的预测模型，为临床提供更好的指导。方法：回顾性分析360例（711侧）行垂直瘢痕缩小乳房成形术患者的资料。数据包括术前患者的信息，如年龄、身高、体重、BMI、乳房表面测量值，以及手术中从两侧切除的乳房组织的精确测量重量。对数据进行统计分析，并采用多元线性回归确定这些变量与切除乳腺组织重量之间的关系。结果：建立的公式为：乳房组织切除重量(g) = （15 ×胸骨切口到乳头+ 10 ×锁骨到乳头+ 23 ×乳头到乳房下折+ 10 × BMI + 6 ×乳头间距离+ 8 ×乳头中线到乳头）-1023。结论：该预测模型对乳房组织切除重量的垂直瘢痕缩小乳房成形术代表了临床数据的经验总结。实施该模型可以帮助外科医生术前估计切除重量，最终改善手术效果，提高患者满意度。证据等级iv：本刊要求作者为每篇文章指定一个证据等级。有关这些循证医学评级的完整描述，请参阅目录或在线作者说明www.springer.com/00266。

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来源期刊

Aesthetic Plastic Surgery 医学-外科

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.