Hasson Aida M, Patel Rahul D, Sissoko Cheick A, Brattain Laura, Dion Gregory R
Department of Otolaryngology-Head & Neck Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA.
University of Central Florida College of Medicine Orlando Florida USA.
Laryngoscope Investig Otolaryngol. 2024 Aug 6;9(4):e1309. doi: 10.1002/lio2.1309. eCollection 2024 Aug.
With rapid advances in ultrasound-guided procedures, there is an unmet need for echogenic phantoms with sufficient anatomical details for artificial intelligence and ultrasound-guided device testing. We developed a method for creating neck phantoms for novel otolaryngology-related device testing. To achieve accurate representation of the anatomy, we utilized CT scans and 3D printing technology to create customized agar molds, thus providing high-fidelity yet cost-effective tools.
Based on previous studies, the key components in our neck phantom include the cervical vertebrae, trachea, common carotid arteries, internal jugular veins, thyroid gland, and surrounding soft tissue. Open-source image analysis software were employed to process CT data to generate high fidelity 3D models of the target structures. Resin molds were 3D printed and filled with various agar mixtures to mimic anatomical echogenicity.
Following the method proposed, we successfully assembled the neck phantom which provided a detailed representation of the target structures. To evaluate the results, ultrasound data was collected on the phantom and living tissue and analyzed with ImageJ. We were able to demonstrate echogenicity comparable to that of living tissue.
The proposed method for building neck phantoms with detailed anatomical features offers a valuable, detailed, low-cost tool for medical training and device testing in otolaryngology, particularly for novel devices that involve artificial intelligence (AI) guidance and robotic-based needle insertion. Additional anatomical refinements and validation studies could further enhance the consistency and accuracy, thus paving the way for future advancements in ultrasound training and research, and ultimately benefiting patient care and safety.
随着超声引导手术的迅速发展,对于具有足够解剖细节以用于人工智能和超声引导设备测试的回声体模存在未满足的需求。我们开发了一种用于创建颈部体模以进行新型耳鼻喉科相关设备测试的方法。为了实现对解剖结构的准确呈现,我们利用CT扫描和3D打印技术创建定制的琼脂模具,从而提供高保真且经济高效的工具。
基于先前的研究,我们颈部体模中的关键组件包括颈椎、气管、颈总动脉、颈内静脉、甲状腺以及周围的软组织。使用开源图像分析软件处理CT数据以生成目标结构的高保真3D模型。3D打印树脂模具并填充各种琼脂混合物以模拟解剖回声。
按照所提出的方法,我们成功组装了颈部体模,该体模提供了目标结构的详细呈现。为了评估结果,在体模和活体组织上收集超声数据并用ImageJ进行分析。我们能够证明其回声与活体组织相当。
所提出的构建具有详细解剖特征的颈部体模的方法为耳鼻喉科的医学培训和设备测试提供了一种有价值、详细且低成本的工具,特别是对于涉及人工智能(AI)引导和基于机器人的针插入的新型设备。进一步的解剖细化和验证研究可以进一步提高一致性和准确性,从而为超声培训和研究的未来进展铺平道路,并最终使患者护理和安全受益。