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

Lifeng He1, Yu Pan1, Wei Jin1

  • 1Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.

Insights

Novel fluorescent soft robots offer a more intuitive and persistent solution for locating early gastric tumors during laparoscopic surgery. These robots autonomously converge on a metal clip marking the tumor site, improving surgical accuracy.

Area of Science:

  • Minimally Invasive Surgery
  • Biomedical Engineering
  • Surgical Oncology

Background:

  • Accurate intraoperative tumor localization is critical for early gastric cancer surgery.
  • Existing methods like dye injection and magnetic clips have limitations in intuition and endurance.
  • Tumors lacking serosal involvement are difficult to detect during laparoscopy.

Purpose of the Study:

  • To develop and evaluate a novel approach using fluorescent soft robots for gastric tumor localization.
  • To create a more intuitive and persistent method for identifying lesions during laparoscopic procedures.
  • To enhance the accuracy and efficiency of tumor detection in gastric cancer surgery.

Main Methods:

  • A metal clip was placed at the tumor site in animal models (rats).
  • Fluorescent soft robots labeled with Cy5 were administered orally in capsules.
  • The soft robots were designed to autonomously navigate and converge around the metal clip.
  • Tumor location was identified by detecting the fluorescence signal from the converged robots.

Main Results:

  • Successful identification of metal clip locations within the rat stomach using fluorescent soft robots.
  • Demonstrated autonomous convergence of soft robots around the implanted metal clips.
  • The fluorescent soft robot method showed greater persistence and intuitiveness compared to existing techniques.

Conclusions:

  • Fluorescent soft robots present a promising, viable alternative for localizing gastric lesions during laparoscopic surgery.
  • This novel approach offers enhanced accuracy and efficiency for tumor identification.
  • The technology is clinically accessible and represents a significant advancement in surgical navigation.