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三维扫描和三维打印技术在乳房外科应用的现状及关键分析。

The current progress and critical analysis of three-dimensional scanning and three-dimensional printing applications in breast surgery.

机构信息

UCL Division of Surgery & Interventional Science, Royal Free Hospital, London, UK.

Department of Surgery, King Faisal University, Al-Hofuf, Saudi Arabia.

出版信息

BJS Open. 2021 May 7;5(3). doi: 10.1093/bjsopen/zrab025.

Abstract

BACKGROUND

Several attempts have been made to develop a tool capable of evaluating breast shape and volume to aid surgical planning and outcome assessment. More recently, newer technologies such as three-dimensional (3D) scanning and 3D printing have been applied in breast assessment. The aim of this study was to review the literature to assess the applicability of 3D scanning and 3D printing in breast surgery.

METHODS

A literature search was carried on PubMed, Google Scholar and OVID from January 2000 to December 2019 using the keywords '3D', 'Three-dimensional', 'Three/four dimensions' and 'Breast'.

RESULTS

A total of 6564 articles were identified initially; the abstracts of 1846 articles were scanned, and 81 articles met the inclusion criteria and were included in this review. Articles were reviewed and classified according to their aims, study subjects, the software and hardware used, main outcomes and major limitations.

CONCLUSIONS

These technologies are fast and easy to use, however, high costs, long processing times and the need for training might limit their application. To incorporate these technologies into standard healthcare, their efficacy and effectiveness must be demonstrated through multiple and rigorous clinical trials.

摘要

背景

为了辅助手术规划和评估结果,已经有多项研究尝试开发一种可评估乳房形状和体积的工具。最近,三维(3D)扫描和 3D 打印等新技术已被应用于乳房评估。本研究旨在对文献进行综述,以评估 3D 扫描和 3D 打印在乳房手术中的适用性。

方法

通过关键词“3D”、“Three-dimensional”、“Three/four dimensions”和“Breast”,在 2000 年 1 月至 2019 年 12 月期间在 PubMed、Google Scholar 和 OVID 上进行了文献检索。

结果

最初共确定了 6564 篇文章;扫描了 1846 篇文章的摘要,符合纳入标准的 81 篇文章被纳入本综述。根据目的、研究对象、使用的软件和硬件、主要结果和主要局限性对文章进行了综述和分类。

结论

这些技术快速且易于使用,但成本高、处理时间长以及需要培训可能限制了它们的应用。要将这些技术纳入标准医疗保健,必须通过多次严格的临床试验来证明其有效性和效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/446b/8105620/c447b175bad2/zrab025f1.jpg

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