Evidence map›Paper›PMID 40225740›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2025

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

Lifeng He, Yu Pan, Wei Jin, Rong Tan, Yanan Xue, Danying Sun, Jingyu Zhang, Pingyu Xiang, Qin Fang, Yue Wang and 3 more

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Lifeng HeDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Yu PanDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Wei JinDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Rong TanCheng Kar-Shun Robotics Institute (CKSRI), Hong Kong University of Science and Technology, Hong Kong 999077, China.
Yanan XueState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Danying SunState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Jingyu ZhangState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Pingyu XiangState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Qin FangState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Yue WangState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Rong XiongState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.
Haojian LuState Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0002-1393-3040
Songmei LouDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID40225740
PMCPMC11986207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.