Surgical Sealant with Integrated Shape-Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date:

Abstract

Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symptomatic, surgical leak. A gastric fluid responsive, dual modality, electronic-free, leak sensor system integrable into surgical adhesive suture support materials is introduced. Leak sensors contain high atomic number carbonates embedded in a polyacrylamide matrix, that upon exposure to gastric fluid convert into gaseous carbon dioxide (CO ). CO bubbles remain entrapped in the hydrogel matrix, leading to a distinctly increased echogenic contrast detectable by a low-cost and portable ultrasound transducer, while the dissolution of the carbonate species and the resulting diffusion of the cation produces a markedly reduced contrast in computed tomography imaging. The sensing elements can be patterned into a variety of characteristic shapes and can be combined with nonreactive tantalum oxide reference elements, allowing the design of shape-morphing sensing elements visible to the naked eye as well as artificial intelligence-assisted automated detection. In summary, shape-morphing dual modality sensors for the early and robust detection of postoperative complications at deep tissue sites, opening new routes for postoperative patient surveillance using existing hospital infrastructure is reported.

Authors

  • Benjamin Suter
    Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zürich, 8092, Switzerland.
  • Alexandre H C Anthis
    Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zürich, 8092, Switzerland.
  • Anna-Katharina Zehnder
    Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zürich, 8092, Switzerland.
  • Victor Mergen
    Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, Zürich, 8091, Switzerland.
  • Jachym Rosendorf
    Department of Surgery, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 923/80, Pilsen, 32300, Czech Republic.
  • Lukas R H Gerken
    Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zürich, 8092, Switzerland.
  • Andrea A Schlegel
    Department of Surgery and Transplantation, Swiss HPB Centre, University Hospital Zurich, Rämistrasse 100, Zurich, 8091, Switzerland.
  • Eva Korcakova
    Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 1655/76, Pilsen, 32300, Czech Republic.
  • Vaclav Liska
    Department of Surgery, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 923/80, Pilsen, 32300, Czech Republic.
  • Inge K Herrmann
    Nanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zürich, 8092, Switzerland.