3D printing for preoperative planning and surgical training: a review

被引:0
作者
Anurup Ganguli
Gelson J. Pagan-Diaz
Lauren Grant
Caroline Cvetkovic
Mathew Bramlet
John Vozenilek
Thenkurussi Kesavadas
Rashid Bashir
机构
[1] University of Illinois at Urbana-Champaign,Department of Bioengineering
[2] University of Illinois at Urbana-Champaign,Micro and Nanotechnology Laboratory
[3] Houston Methodist Research Institute,Center for Neuroregeneration
[4] University of Illinois College of Medicine at Peoria,OSF Saint Francis Medical Center
[5] Jump Trading Simulation & Education Center,Healthcare Engineering Systems Center, College of Engineering
[6] University of Illinois at Urbana-Champaign,Department of Industrial and Enterprise Systems Engineering
[7] University of Illinois at Urbana-Champaign,undefined
[8] Carle Illinois College of Medicine,undefined
来源
Biomedical Microdevices | 2018年 / 20卷
关键词
Rapid prototyping; Organ models; Surgical training; Preoperative planning; 3D printing;
D O I
暂无
中图分类号
学科分类号
摘要
Surgeons typically rely on their past training and experiences as well as visual aids from medical imaging techniques such as magnetic resonance imaging (MRI) or computed tomography (CT) for the planning of surgical processes. Often, due to the anatomical complexity of the surgery site, two dimensional or virtual images are not sufficient to successfully convey the structural details. For such scenarios, a 3D printed model of the patient’s anatomy enables personalized preoperative planning. This paper reviews critical aspects of 3D printing for preoperative planning and surgical training, starting with an overview of the process-flow and 3D printing techniques, followed by their applications spanning across multiple organ systems in the human body. State of the art in these technologies are described along with a discussion of current limitations and future opportunities.
引用
收藏
相关论文
共 399 条
[1]  
Abdel-Sayed P(2009)A new training set-up for trans-apical aortic valve replacement Interact. Cardiovasc. Thorac. Surg. 8 599-601
[2]  
Kalejs M(2013)Craniomaxillofacial surgery planning based on 3D models derived from Cone-Beam CT data Comput. Aided Surg. 18 101-108
[3]  
von Segesser LK(2006)Rapid prototyping and reverse engineering application for orthopodeic surgery planning J. Mech. Sci. Technol. 20 19-28
[4]  
Adolphs N(2012)Simulation-based medical education in clinical skills laboratory J. Med. Invest. 59 28-35
[5]  
Liu W(1987)A combined infratemporal and posterior fossa approach for the removal of giant glomus tumors and chondrosarcomas Surg. Neurol. 28 423-431
[6]  
Keeve E(2004)Stent repair of aortic perianastomotic leak after aortic arch and descending aorta replacement Ital. Heart J. Off. J. Ital. Fed. Cardiol. 5 951-953
[7]  
Hoffmeister B(2010)Three-Dimensional Modeling of the Temporal Bone for Surgical Training Otology & Neurotology 31 328-334
[8]  
Ahn D-G(1997)Preliminary experience with medical applications of rapid prototyping by selective laser sintering Med. Eng. Phys. 19 90-96
[9]  
Lee J-Y(2002)Flexible tubular replicas of abdominal aortic aneurysms Proc. Inst. Mech. Eng. H J. Eng. Med. 216 211-214
[10]  
Yang D-Y(1991)The dorsolateral, suboccipital, transcondylar approach to the lower clivus and anterior portion of the craniocervical junction Neurosurgery 29 815-821