Electrical conductivity measurement in human liver tissue: assessment on normal vs. tumor tissue and under in vivo vs. ex vivo conditions

Sarreshtehdari, Amirhossein; García Sánchez, Tomás; Sánchez Velázquez, Patricia, 1985-; Ielpo, Benedetto; Berjano, Enrique J.; Villamonte, Maria; Moll, Xavier; Burdío Pinilla, Fernando

doi:http://dx.doi.org/10.3390/bios14080382

Electrical conductivity measurement in human liver tissue: assessment on normal vs. tumor tissue and under in vivo vs. ex vivo conditions

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Sarreshtehdari A, García-Sánchez T, Sánchez-Velázquez P, Ielpo B, Berjano E, Villamonte M, et al. Electrical conductivity measurement in human liver tissue: assessment on normal vs. tumor tissue and under in vivo vs. ex vivo conditions. Biosensors (Basel). 2024 Aug 8;14(8):382. DOI: 10.3390/bios14080382

Abstract

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.