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DOI 10.21037/tlcr-22-884

Медицинская библиотека · Translational lung cancer research · 2023

A new preoperative localization of pulmonary nodules guided by mixed reality: a pilot study of an animal model.

Xin Ning, Wu Xiaoyu, Chen Zihao, Wei Rongqiang, Saito Yuichi, Lachkar Samy, Salvicchi Alberto, Fumimoto Satoshi, Drevet Gabrielle, Xu Zhifei, Huang Kenan, Tang Hua

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Аннотация

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Для цитирования: Xin Ning, Wu Xiaoyu, Chen Zihao, Wei Rongqiang, Saito Yuichi, Lachkar Samy, Salvicchi Alberto, Fumimoto Satoshi, Drevet Gabrielle, Xu Zhifei, Huang Kenan, Tang Hua. A new preoperative localization of pulmonary nodules guided by mixed reality: a pilot study of an animal model.. Translational lung cancer research. 2023. DOI: 10.21037/tlcr-22-884.
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