He Lifeng, Pan Yu, Jin Wei, Tan Rong, Xue Yanan, Sun Danying, Zhang Jingyu, Xiang Pingyu, Fang Qin, Wang Yue, Xiong Rong, Lu Haojian, Lou Songmei
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Cheng Kar-Shun Robotics Institute (CKSRI), Hong Kong University of Science and Technology, Hong Kong 999077, China.
Cyborg Bionic Syst. 2025 Apr 11;6:0212. doi: 10.34133/cbsystems.0212. eCollection 2025.
Locating tumors during laparoscopic surgery for early gastric cancers poses an important challenge because they lack involvement with the serosal layer and remain invisible within the peritoneal cavity. To address this issue, various techniques such as preoperative dye injection and magnetic clip detection systems have been introduced to aid in intraoperative tumor localization. However, these existing techniques are often intricate and lack intuition and endurance. In this study, we propose a novel approach utilizing fluorescent soft robots to accurately locate tumors within the stomach. The methodology involved placing a metal clip at the tumor site, followed by administering several soft robots labeled with Cy5. These soft robots were designed to autonomously converge around the metal clip. To validate their efficacy, we conducted animal experiments by implanting clips into the stomachs of rats and subsequently administering capsules containing the soft robots. By detecting the resulting fluorescence, we successfully identified the location of the clips within the stomach. Our findings indicate that these soft robots hold great promise as a viable alternative for localizing gastric lesions during laparoscopic surgery, which has better persistence and intuitiveness than other markup methods. Their implementation could significantly enhance the accuracy and efficiency of tumor identification in a technologically advanced and clinically accessible manner.
在早期胃癌的腹腔镜手术中定位肿瘤是一项重大挑战,因为这些肿瘤未累及浆膜层,在腹腔内不可见。为解决这一问题,已引入多种技术,如术前染料注射和磁性夹检测系统,以辅助术中肿瘤定位。然而,这些现有技术往往复杂,缺乏直观性和持久性。在本研究中,我们提出一种利用荧光软机器人在胃内精确定位肿瘤的新方法。该方法包括在肿瘤部位放置一个金属夹,然后投放几个标记有Cy5的软机器人。这些软机器人被设计为能自动聚集在金属夹周围。为验证其有效性,我们通过将夹子植入大鼠胃内,随后投放装有软机器人的胶囊进行动物实验。通过检测产生的荧光,我们成功确定了胃内夹子的位置。我们的研究结果表明,这些软机器人作为腹腔镜手术中定位胃部病变的可行替代方法具有很大潜力,其比其他标记方法具有更好的持久性和直观性。它们的应用可以以技术先进且临床可行的方式显著提高肿瘤识别的准确性和效率。