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3D打印在术前规划中的应用。

Application of 3D Printing in Preoperative Planning.

作者信息

Segaran Nicole, Saini Gia, Mayer Joseph L, Naidu Sailen, Patel Indravadan, Alzubaidi Sadeer, Oklu Rahmi

机构信息

Department of Vascular and Interventional Radiology, Minimally Invasive Therapeutics Laboratory, Mayo Clinic, Phoenix, AZ 85054, USA.

3D Innovations Laboratory, Mayo Clinic Arizona, 5711 E. Mayo Blvd. Support Services Building, Phoenix, AZ 85054, USA.

出版信息

J Clin Med. 2021 Feb 26;10(5):917. doi: 10.3390/jcm10050917.

DOI:10.3390/jcm10050917
PMID:33652844
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7956651/
Abstract

Preoperative planning is critical for success in the surgical suite. Current techniques for surgical planning are limited; clinicians often rely on prior experience and medical imaging to guide the decision-making process. Furthermore, two-dimensional (2D) presentations of anatomical structures may not accurately portray their three-dimensional (3D) complexity, often leaving physicians ill-equipped for the procedure. Although 3D postprocessed images are an improvement on traditional 2D image sets, they are often inadequate for surgical simulation. Medical 3D printing is a rapidly expanding field and could provide an innovative solution to current constraints of preoperative planning. As 3D printing becomes more prevalent in medical settings, it is important that clinicians develop an understanding of the technologies, as well as its uses. Here, we review the fundamentals of 3D printing and key aspects of its workflow. The many applications of 3D printing for preoperative planning are discussed, along with their challenges.

摘要

术前规划对于手术的成功至关重要。当前的手术规划技术有限;临床医生通常依靠既往经验和医学影像来指导决策过程。此外,解剖结构的二维(2D)呈现可能无法准确描绘其三维(3D)复杂性,这常常使医生在手术中准备不足。尽管3D后处理图像是对传统2D图像集的改进,但它们通常不足以进行手术模拟。医学3D打印是一个迅速发展的领域,可为当前术前规划的限制提供创新解决方案。随着3D打印在医疗环境中越来越普遍,临床医生了解这些技术及其用途非常重要。在此,我们回顾3D打印的基本原理及其工作流程的关键方面。讨论了3D打印在术前规划中的众多应用及其面临的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/880ea0e13048/jcm-10-00917-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/acb416a04cde/jcm-10-00917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/54ba92dd753c/jcm-10-00917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/5a4883c3d753/jcm-10-00917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/481680933b17/jcm-10-00917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/880ea0e13048/jcm-10-00917-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/acb416a04cde/jcm-10-00917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/54ba92dd753c/jcm-10-00917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/5a4883c3d753/jcm-10-00917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/481680933b17/jcm-10-00917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/7956651/880ea0e13048/jcm-10-00917-g005.jpg

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