Chandler J H, Head D A, Hubbard M E, Neville A, Jayne D G, Culmer P R
School of Mechanical Engineering, University of Leeds, Leeds, UK.
Physiol Meas. 2017 Feb;38(2):101-115. doi: 10.1088/1361-6579/38/2/101. Epub 2016 Dec 29.
Measurement of a tissue-specific electrical resistance may offer a discriminatory metric for evaluation of tissue health during cancer surgery. With a move toward minimally-invasive procedures, applicable contact sensing modalities must be scalable, fast and robust. A passive resistance characterisation method utilising a biogalvanic cell as an intrinsic power source has been proposed as a potentially suitable solution. Previous work has evaluated this system with results showing effective discrimination of tissue type and damage (through electroporation). However, aspects of the biogalvanic cell have been found to influence the characterisation performance, and are not currently accounted for within the system model. In particular, the electrode and salt-bridge resistance are not independently determined, leading to over-predictions of tissue resistivity. This paper describes a more comprehensive model and characterisation scheme, with electrode parameters and salt-bridge resistivity being evaluated independently. In a generalised form, the presented model illustrates how the relative resistive contributions from the electrodes and medium relate to the existing characterisation method efficacy. We also describe experiments with physiologically relevant salt solutions (1.71, 17.1, 154 mM), used for validation and comparison. The presented model shows improved performance over the current biogalvanic measurement technique at the median conductivity. Both the proposed and extant system models become unable to predict conductivity accurately at high conductivity due to the dominance of the electrodes. The characterisation techniques have also been applied to data collected on freshly excised human colon tissue (healthy and cancerous). The findings suggest that the resistance of the cell under the test conditions is electrode dominated, leading to erroneous tissue resistance determination. Measurement optimisation strategies and the surgical applicability of the biogalvanic technique are discussed in light of these findings.
测量组织特异性电阻可为癌症手术期间评估组织健康状况提供一种判别指标。随着向微创手术的发展,适用的接触传感模式必须具备可扩展性、快速性和稳健性。一种利用生物原电池作为内在电源的无源电阻表征方法已被提出作为一种潜在的合适解决方案。先前的工作对该系统进行了评估,结果表明能够有效区分组织类型和损伤(通过电穿孔)。然而,已发现生物原电池的一些方面会影响表征性能,且目前在系统模型中未予以考虑。特别是,电极电阻和盐桥电阻未独立确定,导致对组织电阻率的过度预测。本文描述了一种更全面的模型和表征方案,其中电极参数和盐桥电阻率是独立评估的。以广义形式呈现的模型说明了电极和介质的相对电阻贡献如何与现有表征方法的功效相关。我们还描述了使用生理相关盐溶液(1.71、17.1、154 mM)进行的实验,用于验证和比较。所提出的模型在电导率中位数时比当前的生物原电池测量技术表现出更好的性能。由于电极占主导地位,所提出的和现存的系统模型在高电导率时都无法准确预测电导率。表征技术也已应用于在新鲜切除的人体结肠组织(健康和癌组织)上收集的数据。研究结果表明,在测试条件下细胞的电阻由电极主导,导致组织电阻测定错误。鉴于这些发现,讨论了测量优化策略和生物原电池技术的手术适用性。