使用切除过程图的机器人辅助复杂解剖性节段切除术
Robot-Assisted Complex Anatomical Segmentectomy Using Resection Process Map.
作者信息
Nakamura Shota, Nakao Megumi, Okado Shoji, Kadomatsu Yuka, Ueno Harushi, Chen-Yoshikawa Toyofumi Fengshi
机构信息
Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
出版信息
Ann Thorac Surg Short Rep. 2024 Jul 4;2(4):643-645. doi: 10.1016/j.atssr.2024.06.019. eCollection 2024 Dec.
We present a case of robot-assisted complex anatomical segmentectomy utilizing Resection Process Map (RPM) software. RPM enables the confirmation of internal structures obscured by lung parenchyma, thereby reducing the risk of injury or misidentification to essential structures. It facilitates an accurate understanding of anatomy beyond processed vessels, fostering collaboration among the surgical team and informed discussions. Preventing complications stemming from misidentification of bronchovascular structures is vital in complex segmentectomies. Robot-assisted complex segmentectomies can achieve precise anatomical resections through RPM's integration of real-time observations and virtual images. We are committed to further advancing this technology soon.
我们展示了一例利用切除过程地图（RPM）软件进行的机器人辅助复杂解剖性肺段切除术。RPM能够确认被肺实质遮挡的内部结构，从而降低对重要结构造成损伤或误认的风险。它有助于准确理解已处理血管之外的解剖结构，促进手术团队之间的协作并进行充分的讨论。在复杂的肺段切除术中，预防因支气管血管结构误认而导致的并发症至关重要。机器人辅助复杂肺段切除术可通过RPM整合实时观察和虚拟图像来实现精确的解剖性切除。我们致力于尽快进一步推进这项技术。
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