The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d6d6f103-b192-4b04-bd6c-58ad9f0c4740

Azizian Amiri, Sara; Dankelman, Jenny; Hendriks, Benno H. W. (2024): Data underlying the publication: Enhancing Intraoperative Tissue Identification: Investigating a Smart Electrosurgical Knife's Functionality During Electrosurgery. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d6d6f103-b192-4b04-bd6c-58ad9f0c4740.v1

Dataset

• Biomedical Engineering
• Engineering

Diffuse reflectance spectroscopy, DRS, margin assessment, real-time tissue detection, Smart electrosurgical knife, tissue optics

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sara Azizian Amiri , Jenny Dankelman , Benno H. W. Hendriks

Detecting the cancerous growth margin and achieving a negative margin is one of the challenges that surgeons face during cancer procedures. A smart electrosurgical knife with integrated optical fibers has been designed previously to enable real-time use of diffuse reflectance spectroscopy for intraoperative margin assessment. In this paper, the thermal effect of the electrosurgical knife on tissue sensing is investigated. Methods: Porcine tissues and phantoms were used to investigate the performance of the smart electrosurgical knife after electrosurgery. The fat-to-water content ratio (F/W-ratio) served as the discriminative parameter for distinguishing tissues and tissue mimicking phantoms with varying fat content. The F/W-ratio of tissues and phantoms was measured with the smart electrosurgical knife before and after 14 minutes of electrosurgery. Additionally, a layered porcine tissue and phantom were sliced and measured from top to bottom with the smart electrosurgical knife. Results: Mapping the thermal activity of the electrosurgical knife’s electrode during animal tissue electrosurgery revealed temperatures exceeding 400 °C. Electrosurgery for 14 minutes had no impact on the device’s accurate detection of the F/W-ratio. The smart electrosurgical knife enables real-time tissue detection and predicts the fat content of the next layer from 4 mm ahead. Conclusion: The design of the smart electrosurgical knife outlined in this paper demonstrates its potential utility for tissue detection during electrosurgery. Significance: In the future, the smart electrosurgical knife could be a valuable intraoperative margin assessment tool, aiding surgeons in detecting tumor borders and achieving negative margins.

• 2024-12-10 first online, published, posted

4TU.ResearchData

video file/ .wmv-recordings of thermal camera during electrosurgery, word file/.docx-max temperature during electrosurgery in different, one text file/.txt-Readme.

Enhancing Intraoperative Tissue Identification: Investigating a Smart Electrosurgical Knife's Functionality During Electrosurgery

• Sensing in surgery (grant code 104006002) The Netherlands Organization for Health Research and Development (ZonMw)

TU Delft, Faculty of Mechanical Engineering, Department of Biomechanical Engineering