AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Soft Robots with Cy5: An “Intake and Work” Imaging Technique for Intraoperative Navigation of Gastric Lesion

Lifeng He1,Yu Pan1,Wei Jin1,Rong Tan2Yanan Xue3,4Danying Sun3,4Jingyu Zhang3,4Pingyu Xiang3,4Qin Fang3,4Yue Wang3,4Rong Xiong3,4Haojian Lu3,4,5( )Songmei Lou1( )
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
State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China
Institute of Cyber-Systems and Control, the Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Reach Center for Oral Disease of Zhejiang Province, Key Laboratory of Oral Biomedical Reach of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China

†These authors contributed equally to this work.

Show Author Information

Abstract

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.

References

【1】
【1】
 
 
Cyborg and Bionic Systems
Article number: 0212

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
He L, Pan Y, Jin W, et al. Soft Robots with Cy5: An “Intake and Work” Imaging Technique for Intraoperative Navigation of Gastric Lesion. Cyborg and Bionic Systems, 2025, 6: 0212. https://doi.org/10.34133/cbsystems.0212

350

Views

3

Downloads

6

Crossref

5

Web of Science

5

Scopus

Received: 13 June 2024
Revised: 01 November 2024
Accepted: 13 December 2024
Published: 11 April 2025
© 2025 Lifeng He et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0).