Electrical Conductivity Measurement in Human Liver Tissue: Assessment on Normal vs. Tumor Tissue and under In Vivo vs. Ex Vivo Conditions.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
08 Aug 2024
Historique:
received: 28 06 2024
revised: 02 08 2024
accepted: 06 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 28 8 2024
Statut: epublish

Résumé

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. Previous informed consent was obtained from twenty patients undergoing liver resection in whom liver electrical conductivity was measured during surgery and after resection. 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 ( 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.

Sections du résumé

BACKGROUND 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 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 RESULTS
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 (
CONCLUSIONS 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.

Identifiants

pubmed: 39194611
pii: bios14080382
doi: 10.3390/bios14080382
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Spanish Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Fondo Europeo de Desarrollo Regional
ID : PID2022-136273OB-C31 and PID2022-136273OB-C32

Auteurs

Amirhossein Sarreshtehdari (A)

Department of Experimental and Health Sciences, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08005 Barcelona, Spain.

Tomás García-Sánchez (T)

Department of In formation and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.

Patricia Sánchez-Velázquez (P)

General Surgery Department, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08005 Barcelona, Spain.

Benedetto Ielpo (B)

General Surgery Department, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08005 Barcelona, Spain.

Enrique Berjano (E)

BioMIT, Department of Electronic Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.

María Villamonte (M)

Department of Experimental and Health Sciences, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08005 Barcelona, Spain.

Xavier Moll (X)

Departament de Medicina i Cirurgia Animals, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Fundació Hospital Clínic Veterinari, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.

Fernando Burdio (F)

General Surgery Department, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08005 Barcelona, Spain.

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Classifications MeSH