Literature DB >> 29252059

Identifying and Localizing of the In-depth Pulmonary Nodules Using Electrical Bio-Impedance.

Rasool Baghbani1, Mohammad Hassan Moradi1, Mohammad Behgam Shadmehr2.   

Abstract

Intraoperative localization of small and in-depth pulmonary nodules particularly during video-assisted thoracoscopic surgery (VATS), is one of the main challenges for Thoracic surgeons. Failure to determine the location of nodules may lead to a large incision in the normal lung tissue or the conversion of the minimally invasive surgery to an open thoracotomy. The aim of this study is to evaluate the use of electrical bio-impedance measurement to precisely determine the position of in-depth pulmonary nodules and tumors, which are not visible during thoracoscopic surgeries or even are not palpable during open thoracic surgeries. With this regard, a suitable bio-impedance sensor similar to a biopsy forceps has been designed in order to measure the lung tissue bio-impedance. Using the available data on the electrical properties recorded from lung tissue during inhalation and exhalation, combined with the tumor modeling in COMSOL software, the effect of different parameters including the size and depth of tumor and the relative difference of electrical properties between healthy and tumoral tissue has been assessed. Furthermore, the geometric characteristics of the proposed sensor are considered. The results generally verify that larger size of nodules results in an easier distinguishing process. Additionally, it is worthy to note that applying a larger geometrically sensor is essential to detect the small and in-depth nodules.

Entities:  

Keywords:  Nyquist curve; electrical bio-impedance sensor; minimally invasive surgery; thoracoscopy; tumor localization; wedge-shaped lung tissue

Mesh:

Year:  2017        PMID: 29252059     DOI: 10.1080/08941939.2017.1394403

Source DB:  PubMed          Journal:  J Invest Surg        ISSN: 0894-1939            Impact factor:   2.533


  1 in total

1.  Bioimpedance sensor to detect water content in milk based on van Der Pauw method.

Authors:  Masoomeh Ashoorirad; Rasool Baghbani; Mohammad Reza Ghalamboran
Journal:  IET Nanobiotechnol       Date:  2021-05-15       Impact factor: 2.050

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.