Xin Ning, Wu Xiaoyu, Chen Zihao, Wei Rongqiang, Saito Yuichi, Lachkar Samy, Salvicchi Alberto, Fumimoto Satoshi, Drevet Gabrielle, Xu Zhifei, Huang Kenan, Tang Hua
Department of Thoracic Surgery, PLA 960th Hospital, Jinan, China.
Department of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.
Transl Lung Cancer Res. 2023 Jan 31;12(1):150-157. doi: 10.21037/tlcr-22-884. Epub 2023 Jan 10.
With the popularity of high-resolution computed tomography (HRCT), more and more pulmonary nodules are being discovered. Video-assisted thoracoscopic surgery (VATS) has become the first choice for surgical treatment of pulmonary nodules. The use of accurate preoperative localization is crucial for successful resection in VATS. At present, there are many kinds of preoperative localization methods, but there are certain disadvantages. This study aimed to evaluate the feasibility and safety of mixed reality (MR)-guided pulmonary nodules localization, which is a new method that can benefit patients to a greater extent.
By constructing an animal model of pulmonary nodules localization, 28 cases of pulmonary nodules were located by MR-guided localization. We recorded the localization accuracy, localization time, insertion attempts, and incidence of complications related to localization under MR-guidance.
All 28 nodules were successfully located: the deviation of MR-guided localization was 5.71±2.59 mm, localization time was 8.07±1.44 min, and insertion attempts was 1. A pneumothorax and localizer dislodgement occurred in 1 case, respectively.
Since preoperative localization is critical for VATS resection of pulmonary nodules, we investigated a new localization method. As indicated by our study, MR-guided localization of pulmonary nodules is feasible and safe, which is worthy of further research and promotion. We have also registered corresponding clinical trials to further investigate and help to improve our understanding of this technique.
随着高分辨率计算机断层扫描（HRCT）的普及，越来越多的肺结节被发现。电视辅助胸腔镜手术（VATS）已成为肺结节手术治疗的首选。术前准确的定位对于VATS手术的成功切除至关重要。目前，术前定位方法有多种，但都存在一定的缺点。本研究旨在评估混合现实（MR）引导下肺结节定位的可行性和安全性，这是一种能在更大程度上使患者受益的新方法。
通过构建肺结节定位动物模型，对28例肺结节进行MR引导下定位。记录MR引导下的定位准确性、定位时间、穿刺次数以及与定位相关的并发症发生率。
28个结节均成功定位：MR引导下定位偏差为5.71±2.59mm，定位时间为8.07±1.44分钟，穿刺次数为1次。分别有1例发生气胸和定位器移位。
由于术前定位对VATS切除肺结节至关重要，我们研究了一种新的定位方法。我们的研究表明，MR引导下肺结节定位是可行且安全的，值得进一步研究和推广。我们也已注册了相应的临床试验，以进一步研究并帮助提高我们对该技术的认识。
