Lau Ivan, Wong Yin How, Yeong Chai Hong, Abdul Aziz Yang Faridah, Md Sari Nor Ashikin, Hashim Shahrul Amry, Sun Zhonghua
Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.
School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Malaysia.
Quant Imaging Med Surg. 2019 Jan;9(1):107-114. doi: 10.21037/qims.2019.01.02.
Current visualization techniques of complex congenital heart disease (CHD) are unable to provide comprehensive visualization of the anomalous cardiac anatomy as the medical datasets can essentially only be viewed from a flat, two-dimensional (2D) screen. Three-dimensional (3D) printing has therefore been used to replicate patient-specific hearts in 3D views based on medical imaging datasets. This technique has been shown to have a positive impact on the preoperative planning of corrective surgery, patient-doctor communication, and the learning experience of medical students. However, 3D printing is often costly, and this impedes the routine application of this technology in clinical practice. This technical note aims to investigate whether reducing 3D printing costs can have any impact on the clinical value of the 3D-printed heart models. Low-cost and a high-cost 3D-printed models based on a selected case of CHD were generated with materials of differing cost. Quantitative assessment of dimensional accuracy of the cardiac anatomy and pathology was compared between the 3D-printed models and the original cardiac computed tomography (CT) images with excellent correlation (r=0.99). Qualitative evaluation of model usefulness showed no difference between the two models in medical applications.
目前,复杂先天性心脏病(CHD)的可视化技术无法全面呈现异常的心脏解剖结构,因为医学数据集基本上只能从平面二维(2D)屏幕上查看。因此,三维(3D)打印已被用于根据医学成像数据集以三维视图复制特定患者的心脏。该技术已被证明对矫正手术的术前规划、医患沟通以及医学生的学习体验有积极影响。然而,3D打印成本通常很高,这阻碍了该技术在临床实践中的常规应用。本技术说明旨在研究降低3D打印成本是否会对3D打印心脏模型的临床价值产生影响。基于一个选定的CHD病例,使用不同成本的材料生成了低成本和高成本的3D打印模型。对3D打印模型与原始心脏计算机断层扫描(CT)图像之间心脏解剖结构和病理的尺寸准确性进行了定量评估,两者具有极好的相关性(r = 0.99)。对模型实用性的定性评估表明,两种模型在医学应用中没有差异。