Lee Dongheon, Kong Hyoun-Joong, Kim Donguk, Yi Jin Wook, Chai Young Jun, Lee Kyu Eun, Kim Hee Chan
Interdisciplinary Program, Bioengineering Major, Graduate School, Seoul National University, Seoul, Korea.
Department of Biomedical Engineering, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
Ann Surg Treat Res. 2018 Dec;95(6):297-302. doi: 10.4174/astr.2018.95.6.297. Epub 2018 Nov 26.
Increased robotic surgery is attended by increased reports of complications, largely due to limited operative view and lack of tactile sense. These kinds of obstacles, which seldom occur in open surgery, are challenging for beginner surgeons. To enhance robotic surgery safety, we created an augmented reality (AR) model of the organs around the thyroid glands, and tested the AR model applicability in robotic thyroidectomy.
We created AR images of the thyroid gland, common carotid arteries, trachea, and esophagus using preoperative CT images of a thyroid carcinoma patient. For a preliminary test, we overlaid the AR images on a 3-dimensional printed model at five different angles and evaluated its accuracy using Dice similarity coefficient. We then overlaid the AR images on the real-time operative images during robotic thyroidectomy.
The Dice similarity coefficients ranged from 0.984 to 0.9908, and the mean of the five different angles was 0.987. During the entire process of robotic thyroidectomy, the AR images were successfully overlaid on the real-time operative images using manual registration.
We successfully demonstrated the use of AR on the operative field during robotic thyroidectomy. Although there are currently limitations, the use of AR in robotic surgery will become more practical as the technology advances and may contribute to the enhancement of surgical safety.
随着机器人手术的增加,并发症报告也在增多,这主要是由于手术视野有限和缺乏触觉。这类在开放手术中很少出现的障碍,对初入行的外科医生来说具有挑战性。为提高机器人手术的安全性,我们创建了甲状腺周围器官的增强现实(AR)模型,并测试了AR模型在机器人甲状腺切除术中的适用性。
我们利用一名甲状腺癌患者的术前CT图像创建了甲状腺、颈总动脉、气管和食管的AR图像。作为初步测试,我们将AR图像以五个不同角度叠加在三维打印模型上,并使用骰子相似系数评估其准确性。然后,我们在机器人甲状腺切除术的实时手术图像上叠加AR图像。
骰子相似系数在0.984至0.9908之间,五个不同角度的平均值为0.987。在机器人甲状腺切除术的整个过程中,通过手动配准,AR图像成功叠加在实时手术图像上。
我们成功展示了在机器人甲状腺切除术中在手术视野中使用AR。尽管目前存在局限性,但随着技术的进步,AR在机器人手术中的应用将变得更加实用,并可能有助于提高手术安全性。