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皮肤肿瘤早期筛查的快速无创电阻抗检测方法

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目的 随着环境问题和臭氧层空洞化的加剧,皮肤肿瘤的患病率也大幅增加,但是皮肤肿瘤前期隐蔽性高、症状不明显,导致大部分病例都是在中晚期发现的。因此,本文基于生物阻抗谱(bioimpedance spectroscopy,BIS)技术,提出一种皮肤肿瘤早期筛查的快速无创电阻抗检测方法。方法 首先,建立四层皮肤模型,采用数值分析方法研究角质层对BIS测量的阻碍作用。其次,使用去除角质层的皮肤模型研究混有不同半径和浸润深度的皮肤肿瘤组织电学特性。最后,使用凝胶处理后的猪皮组织实验验证肿瘤浸润深度(h)的影响。结果 角质层仿真结果表明,去除角质层的皮肤对激励信号的响应更明显。皮肤肿瘤模型仿真表明,当肿瘤半径(Rtumor)及h>1。5mm时能够区分肿瘤组织与正常组织。同时根据实验结果中正常组织与肿瘤组织虚部弛豫阻抗(Zimag-relax)定义了组织病变度(εworse,为肿瘤组织虚部阻抗相对于正常组织虚部阻抗变化的百分比),并绘制了肿瘤组织浸润深度(Depth)与Zimag-relax的拟合曲线。当εworse=0。4920时,BIS即可识别微浸润肿瘤组织,且拟合曲线修正决定系数为0。946 8,拟合效果良好。结论 基于BIS技术的方法具有实时、便捷、无创的优点,有望应用于皮肤肿瘤的检测。
A Rapid Non-invasive Method for Skin Tumor Tissue Early Detection Based on Bioimpedance Spectroscopy
Objective In recent years,with the intensification of environmental issues and the depletion of ozone layer,incidence of skin tumors has also significantly increased,becoming one of the major threats to people's lives and health.However,due to factors such as high concealment in the early stage of skin tumors,unclear symptoms,and large human skin area,most cases are detected in the middle to late stage.Early detection plays a crucial role in postoperative survival of skin tumors,which can significantly improve the treatment and survival rates of patients.We proposed a rapid non-invasive electrical impedance detection method for early screening of skin tumors based on bioimpedance spectroscopy(BIS)technology.Methods Firstly,we have established a complete skin stratification model,including stratum corneum,epidermis,dermis,and subcutaneous tissue.And the numerical analysis method was used to investigate the effect of dehydrated and dry skin stratum corneum on contact impedance in BIS measurement.Secondly,differentiation effect of different diameter skin tumor tissues was studied using a skin model after removing the stratum corneum.Then,in order to demonstrate that BIS technology can be used for detecting the microinvasion stage of skin tumors,we conducted a simulation study on the differentiation effect of skin tumors under different infiltration depths.Finally,in order to verify that the designed BIS detection system can distinguish between tumor microinvasion periods,we conducted tumor invasion experiments using hydrogel treated pig skin tissue.Results The simulation results show that a dry and high impedance stratum corneum will bring about huge contact impedance,which will lead to larger measurement errors and affect the accuracy of measurement results.We extracted the core evaluation parameter of relaxed imaginary impedance(Zimag-relax)from the simulation results of the skin tumor model.When the tumor radius(Rtumor)and invasion depth(h)>1.5 mm,the designed BIS detection system can distinguish between tumor tissue and normal tissue.At the same time,in order to evaluate the degree of canceration in skin tissue,the degree of tissue lesion(εworse)is defined by the relaxed imaginary impedance(Zimag-relax)of normal and tumor tissue(εworse is the percentage change in virtual impedance of tumor tissue relative to that of normal tissue),and we fitted a Depth-Zimag-relax curve using relaxation imaginary impedance data at different infiltration depths,which can be applied to quickly determine the infiltration depth of skin tumors after being supplemented with a large amount of clinical data in the future.The experimental results proved that when εworse=0.492 0,BIS could identify microinvasive tumor tissue,and the fitting curve correction coefficient of determination was 0.946 8,with good fitting effect.The simulation using pig skin tissue correlated the results of real human skin simulation with the experimental results of pig skin tissue,proving the reliability of this study,and laying the foundation for further clinical research in the future.Conclusion Our proposed BIS method has the advantages of fast,real-time,and non-invasive detection,as well as high sensitivity to skin tumors,which can be identified during the stage of tumor microinvasion.

skin cancer detectionnon-invasive/real-timeapplications in early tumor screeningbioimpedance spectroscopy(BIS)

彭俊文、胡松佩、洪志扬、王莉莉、刘凯、姚佳烽

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南京航空航天大学机电学院,南京 210016

皮肤癌检测 无创/实时 肿瘤早筛应用 生物阻抗谱

国家自然科学基金江苏省自然科学基金

62071224BK20221480

2024

生物化学与生物物理进展
中国科学院生物物理研究所,中国生物物理学会

生物化学与生物物理进展

CSTPCD北大核心
影响因子:0.476
ISSN:1000-3282
年,卷(期):2024.51(5)
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