人体肝组织电导率测量:正常组织与肿瘤组织以及体内与体外条件下的评估

Biosensors Pub Date : 2024-08-08 DOI:10.3390/bios14080382
Amirhossein Sarreshtehdari, Tomás García-Sánchez, P. Sánchez-Velázquez, Benedetto Ielpo, Enrique Berjano, María Villamonte, Xavier Moll, F. Burdío
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引用次数: 0

摘要

背景:本研究评估了人体肝脏组织在 3-1000 kHz 频率范围内的导电性,以比较体内和体外条件下正常组织和肿瘤组织的导电性。研究方法事先征得 20 名接受肝脏切除术的患者的知情同意,在手术过程中和切除术后测量其肝脏电导率。结果我们发现在体内(0.41 ± 0.10 vs. 0.13 ± 0.06 S/m)和体外(0.27 ± 0.09 vs. 0.12 ± 0.07 S/m)条件下(3 kHz),肿瘤组织的电导率值均高于正常组织。电特性还显示了区分不同组织类型的潜力,包括转移瘤、胆管癌(CCA)、肝细胞癌(HCC)、肝硬化和正常肝脏(体内和体外)。在 3 kHz 频率下,胆管癌、HCC 和转移瘤的体内导电率分别为 0.35、0.42 ± 0.13 和 0.41 ± 0.08 S/m,它们之间存在显著差异(p < 0.05)。结论这些发现有可能通过电导率测量和涉及电场的治疗技术改善肝病诊断。未来的研究应侧重于扩大样本量,以完善不同人体肝脏组织类型的分类和比较过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrical Conductivity Measurement in Human Liver Tissue: Assessment on Normal vs. Tumor Tissue and under In Vivo vs. Ex Vivo Conditions
Background: This study evaluated electrical conductivity in human liver tissue in the 3–1000 kHz frequency range to compare normal versus tumor tissues under in vivo versus ex vivo conditions. Methods: Previous informed consent was obtained from twenty patients undergoing liver resection in whom liver electrical conductivity was measured during surgery and after resection. Result: We found higher electrical conductivity values in tumor tissues than in normal tissue in both in vivo (0.41 ± 0.10 vs. 0.13 ± 0.06 S/m) and ex vivo (0.27 ± 0.09 vs. 0.12 ± 0.07 S/m) conditions (at 3 kHz). The electric properties also showed a promising potential for distinguishing between different tissue types including metastasis, cholangiocarcinoma (CCA), hepatocellular carcinoma (HCC), hepatic cirrhosis, and normal liver (both in vivo and ex vivo). At 3 kHz, in vivo electrical conductivity for cholangiocarcinoma, HCC, and metastasis were 0.35, 0.42 ± 0.13, and 0.41 ± 0.08 S/m, respectively, which differed significantly from each other (p < 0.05). Conclusions: These findings could potentially improve liver disease diagnostics through electrical conductivity measurements and treatment techniques involving electric fields. Future research should focus on expanding the sample size to refine the categorization and comparison processes across diverse human liver tissue types.
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