在直接植入式乳房重建中使用3D表面成像系统(VECTRA XT 3D)预测术中植入物体积的模型

Prediction model for intraoperative implant volume using the 3D surface imaging system (VECTRA XT 3D) in direct-to-implant breast reconstructions.

作者信息

Lee Sang-Oh, Lee Jun-Ho

机构信息

Department of Plastic and Reconstructive Surgery, Yeungnam University College of Medicine, Daegu, Republic of Korea.

出版信息

Gland Surg. 2024 Aug 31;13(8):1428-1436. doi: 10.21037/gs-24-148. Epub 2024 Aug 26.

Abstract

BACKGROUND

In direct-to-implant breast reconstruction, accurate preoperative breast volume estimation is crucial for surgeons to select the appropriate implant volume, considering the cosmetic outcomes during surgery. We proposed the prediction model for intraoperative implant volume based on the preoperative estimated volume of the contralateral breast obtained through a three-dimensional surface imaging system (3DSI) as surgeons usually choose the implant volume on the breast which should be reconstructed considering symmetricity with the contralateral breast.

METHODS

We enrolled 97 patients from our single institution who underwent unilateral mastectomy with immediate breast reconstruction using smooth silicone implants between October 2021 and January 2023. Preoperatively, plastic surgeons measured the volume of the contralateral breast using the VECTRA XT 3D imaging system. Data on implant volume and the types of acellular dermal matrix used during surgery, determined by a single surgeon to ensure symmetry, were also collected. Linear regression analysis was utilized to construct the predictive model.

RESULTS

In the multiple linear regression analysis with preoperative contralateral breast volume, age, and body mass index as variables, the coefficient of determination of the model expressed as R squared (R) was 0.554, and except for age, the other variables were statistically significant. When replaced by mastectomy volume instead of age, R increased to 0.723 and all variables were significant.

CONCLUSIONS

3DSI can be helpful for preoperative surgical planning and postoperative outcome simulation. With our multiple linear regression model, we can predict the intraoperative implant volume using preoperative contralateral breast volume measured by the 3D scans.

摘要

背景

在直接植入式乳房重建中,考虑到手术中的美容效果,准确的术前乳房体积估计对于外科医生选择合适的植入体体积至关重要。我们基于通过三维表面成像系统(3DSI)获得的对侧乳房术前估计体积,提出了术中植入体体积的预测模型,因为外科医生通常会根据与对侧乳房的对称性来选择应重建乳房的植入体体积。

方法

我们纳入了来自我们单一机构的97例患者,这些患者在2021年10月至2023年1月期间接受了单侧乳房切除并立即使用光滑硅胶植入体进行乳房重建。术前,整形外科医生使用VECTRA XT 3D成像系统测量对侧乳房的体积。还收集了由一名外科医生确定以确保对称性的手术中使用的植入体体积和无细胞真皮基质类型的数据。利用线性回归分析构建预测模型。

结果

在以术前对侧乳房体积、年龄和体重指数为变量的多元线性回归分析中,以决定系数R平方(R)表示的模型为0.554,除年龄外,其他变量具有统计学意义。当用乳房切除体积代替年龄时,R增加到0.723,所有变量均具有显著性。

结论

3DSI有助于术前手术规划和术后结果模拟。通过我们的多元线性回归模型,我们可以使用3D扫描测量的术前对侧乳房体积来预测术中植入体体积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d7e/11399008/c22c59e9bed2/gs-13-08-1428-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索