Measurement and comparison of dielectric properties of human pancreatic tumours, healthy tissues and porcine tissues ex vivo between 1Hz and 1MHz

The dielectric properties of pancreatic tissues from human healthy and tumour-bearing tissues have been extracted from impedance measurement on ex vivo, freshly excised samples. They are compared to pig pancreas samples, measured following the same protocol. The purpose is to add data to the scarce literature on the properties of the human pancreas and pancreatic tumours, for treatment planning, tissue identification and numerical simulations. The conductivity measured at 500 kHz for human healthy pancreas is 0.26 S/m, while the conductivity of tumour-bearing tissues is 0.44 S/m. Those values differ significantly from that listed in the IT IS database at 0.57 S/m, suggesting an update might be to consider. However, measures of relative permittivity are in accordance with the database with a value of approximately 2.3x10<sup>3</sup>. Ex vivo porcine model, while being less conductive than human pancreas with 0.16 S/m at the same frequency, is deemed a relevant model when studying pancreatic applications of electromagnetic fields-based treatments, such as radiofrequency ablation.

Authors

Institutions

Publication Details

Journal
Bioelectrochemistry
Published
2024-09-17
DOI
https://doi.org/10.1016/j.bioelechem.2024.108821
Citations
3
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement and comparison of dielectric properties of human pancreatic tumours, healthy tissues and porcine tissues ex vivo between 1Hz and 1MHz

Frédéric Prat, Julien Marchalot, Marie Frénéa‐Robin, Jérôme Cros et al.
3 citations
Bioelectrochemistry
Electrical and Bioimpedance Tomography
0.63
article

Measurement and comparison of dielectric properties of human pancreatic tumours, healthy tissues and porcine tissues ex vivo between 1Hz and 1MHz

Frédéric Prat, Julien Marchalot, Marie Frénéa‐Robin, Jérôme Cros, Théo Le Berre, Guilhem Rival
article en
3 citations

Abstract

The dielectric properties of pancreatic tissues from human healthy and tumour-bearing tissues have been extracted from impedance measurement on ex vivo, freshly excised samples. They are compared to pig pancreas samples, measured following the same protocol. The purpose is to add data to the scarce literature on the properties of the human pancreas and pancreatic tumours, for treatment planning, tissue identification and numerical simulations. The conductivity measured at 500 kHz for human healthy pancreas is 0.26 S/m, while the conductivity of tumour-bearing tissues is 0.44 S/m. Those values differ significantly from that listed in the IT IS database at 0.57 S/m, suggesting an update might be to consider. However, measures of relative permittivity are in accordance with the database with a value of approximately 2.3x10<sup>3</sup>. Ex vivo porcine model, while being less conductive than human pancreas with 0.16 S/m at the same frequency, is deemed a relevant model when studying pancreatic applications of electromagnetic fields-based treatments, such as radiofrequency ablation.

BioelectrochemistryVol. 161
Université Claude Bernard Lyon 1 (FR), École Centrale de Lyon (FR), Centre National de la Recherche Scientifique (FR), Hôpital Beaujon (FR), Assistance Publique – Hôpitaux de Paris (FR), Laboratoire Ampère (FR), Institut National des Sciences Appliquées de Lyon (FR)
Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique
Zero hunger
Openalex Percentile: Top 31%
Electrical and Bioimpedance Tomography
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.