<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>It is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of <italic>ex vivo</italic> experiments are carried out with porcine liver tissue for feasibility validation. During the experiments, impedance measured at frequencies from 1 kHz to 2 MHz are collected on both normal tissues and water soaked tissue. In addition, classifiers based on discriminant analysis are developed. The result of the experiment indicate that the sensor probe can be used to measure the impedance of the tissue easily and the developed tissue classifier achieved accuracy of 80% and 100% respectively.</p>
</abstract>

It is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of ex vivo experiments are carried out with porcine liver tissue for feasibility validation. During the experiments, impedance measured at frequencies from 1 kHz to 2 MHz are collected on both normal tissues and water soaked tissue. In addition, classifiers based on discriminant analysis are developed. The result of the experiment indicate that the sensor probe can be used to measure the impedance of the tissue easily and the developed tissue classifier achieved accuracy of 80% and 100% respectively.

Design of a drop-in EBI sensor probe for abnormal tissue detection in minimally invasive surgery

Department of Neurosurgery/Neuro-oncology

State Key Laboratory of Oncology in South China

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution 4.0 International License.

It is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study,...

Design of a drop-in EBI sensor probe for abnormal tissue detection in minimally invasive surgery

Publicado en línea: 31 dic 2020

Páginas: 87 - 95

Recibido: 22 sept 2020

DOI: https://doi.org/10.2478/joeb-2020-0013

Palabras clave
Laparoscopic surgery, drop-in sensor probe, electrical bioimpedance spectroscopy, discriminant analysis

© 2020 Guanming Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Design of a drop-in EBI sensor probe for abnormal tissue detection in minimally invasive surgery

Publicado en línea: 31 dic 2020

Páginas: 87 - 95

Recibido: 22 sept 2020

DOI: https://doi.org/10.2478/joeb-2020-0013

Palabras claveLaparoscopic surgery, drop-in sensor probe, electrical bioimpedance spectroscopy, discriminant analysis

© 2020 Guanming Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Laparoscopic surgery, drop-in sensor probe, electrical bioimpedance spectroscopy, discriminant analysis