Zhu Guanming, Zhou Liang, Wang Shilong, Lin Pengjie, Guo Jing, Cai Shuting, Xiong Xiaoming, Jiang Xiaobing, Cheng Zhuoqi
School of Automation, Guangdong University of Technology.
Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine.
J Electr Bioimpedance. 2020 Dec 31;11(1):87-95. doi: 10.2478/joeb-2020-0013. eCollection 2020 Jan.
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 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.
对于外科医生而言,在微创手术中检测病理组织并确定切除边缘是一项常见的挑战。在本研究中,我们展示了一种基于生物电阻抗光谱技术的嵌入式传感器探头,它可以被腹腔镜镊子握持,并由外科医生控制,以便方便地检查可疑组织区域。该探头采用了优化的电极和专门为微创手术(MIS)设计的合适形状。随后,使用猪肝组织进行了一系列实验以验证其可行性。在实验过程中,收集了正常组织和浸水组织在1 kHz至2 MHz频率下测量的阻抗。此外,还开发了基于判别分析的分类器。实验结果表明,该传感器探头可以轻松用于测量组织的阻抗,并且所开发的组织分类器的准确率分别达到了80%和100%。