开发用于肝细胞癌治疗规划的柔性肝脏模型:培训和教育的有用工具。

IF 3.2 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Abdulla Al-Thani, Abdulrahman Sharif, Sami El Borgi, Shameel Abdulla, Mahmoud Raja Ahmed Saleh, Reem Al-Khal, Carlos Velasquez, Omar Aboumarzouk, Sarada Prasad Dakua
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引用次数: 0

摘要

目的:肝细胞癌(HCC)是最常见的肝癌类型之一,其周围可能存在外科医生在治疗过程中必须避开的健康动脉或静脉。逼真的三维肝脏模型是 HCC 术前规划的一个未满足需求:本文介绍了一种借助三维打印模具、硅胶、弹道凝胶和搅拌器创建人体肝脏软模型的方法:结果:对于硅胶,测试了基硅胶和硅胶固化剂的七种不同比例的弹性模量;对于弹道凝胶,分别用 20% 明胶和 10% 明胶创建了肿瘤和肝脏其他部分的模型。结果发现,硅胶的弹性模量与真实肝脏的弹性模量相吻合。研究还发现,弹道凝胶模型中的 10%明胶部分能很好地模拟健康人的肝脏:结论:由 10%明胶与水的混合物制成的三维柔性肝脏模型在质地和弹性方面与真实肝脏组织相当逼真。它在改善医学培训、术前规划和外科研究方面具有巨大潜力。我们相信,继续开发和验证此类模型可进一步提高其在肝胆治疗规划和教育领域的实用性和影响力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a flexible liver phantom for hepatocellular carcinoma treatment planning: a useful tool for training & education.

Purpose: Hepatocellular carcinoma (HCC) is one of the most common types of liver cancer that could potentially be surrounded by healthy arteries or veins that a surgeon would have to avoid during treatment. A realistic 3D liver model is an unmet need for HCC preoperative planning.

Methods: This paper presents a method to create a soft phantom model of the human liver with the help of a 3D-printed mold, silicone, ballistic gel, and a blender.

Results: For silicone, the elastic modulus of seven different ratios of base silicone and silicone hardener are tested; while for ballistic gel, a model using 20% gelatin and 10% gelatin is created for the tumor and the rest of the liver, respectively. It is found that the silicone modulus of elasticity matches with the real liver modulus of elasticity. It is also found that the 10% gelatin part of the ballistic gel model is an excellent emulation of a healthy human liver.

Conclusion: The 3D flexible liver phantom made from a 10% gelatin-to-water mixture demonstrates decent fidelity to real liver tissue in terms of texture and elasticity. It holds significant potential for improving medical training, preoperative planning, and surgical research. We believe that continued development and validation of such models could further enhance their utility and impact in the field of hepatobiliary treatment planning and education.

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