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The Resistivity of Human Brain Tumours In Vivo

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The Resistivity of Human Brain Tumours In Vivo. / Latikka, J.; Eskola, H.

In: Annals of Biomedical Engineering, Vol. 47, No. 3, 15.03.2019, p. 706-713.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Latikka, J & Eskola, H 2019, 'The Resistivity of Human Brain Tumours In Vivo', Annals of Biomedical Engineering, vol. 47, no. 3, pp. 706-713. https://doi.org/10.1007/s10439-018-02189-7

APA

Latikka, J., & Eskola, H. (2019). The Resistivity of Human Brain Tumours In Vivo. Annals of Biomedical Engineering, 47(3), 706-713. https://doi.org/10.1007/s10439-018-02189-7

Vancouver

Latikka J, Eskola H. The Resistivity of Human Brain Tumours In Vivo. Annals of Biomedical Engineering. 2019 Mar 15;47(3):706-713. https://doi.org/10.1007/s10439-018-02189-7

Author

Latikka, J. ; Eskola, H. / The Resistivity of Human Brain Tumours In Vivo. In: Annals of Biomedical Engineering. 2019 ; Vol. 47, No. 3. pp. 706-713.

Bibtex - Download

@article{d2b3e5d1918f4a46a5474cef2e1ed186,
title = "The Resistivity of Human Brain Tumours In Vivo",
abstract = "The histological structure of tumour tissues differs from healthy brain tissues. It can therefore be assumed that there are differences also in the electrical characteristics of these tissues. The electrical characteristics of the tissues define how electric current is distributed within volume conductors, such as the human body or head. Incorrect values affect, for example, the accuracy of impedance tomography or EEG source localisation. However, no controlled experimental data for human in vivo brain tumour resistivity values have been reported thus far. We have developed a controlled method for detecting the electrical resistivities of living brain tissue and investigated different types of brain tumours. The measurements were taken during brain surgeries conducted to remove the tumours. For analysis purposes, the tumours were divided into the following categories: meningiomas, low-grade gliomas, high-grade gliomas (glioblastomas) and other tumours or lesions. The averages of the measured resistivity values were 530 Ω-cm for meningiomas, 160 Ω-cm for low-grade gliomas, and 498 Ω-cm for high-grade gliomas. The differences in high- and low-grade glioma values and meningioma and low-grade glioma values were statistically highly significant. The tumour values were also compared to surrounding healthy brain tissues, and the difference ranged from 40 to 330{\%}. The results suggest that certain tumour types have different electronic properties and that the resistivity values could be used to distinguish tumour tissue from surrounding healthy tissue and to identify and classify certain brain tumour types.",
keywords = "Conductivity, Modelling, Tissue electrical properties",
author = "J. Latikka and H. Eskola",
year = "2019",
month = "3",
day = "15",
doi = "10.1007/s10439-018-02189-7",
language = "English",
volume = "47",
pages = "706--713",
journal = "Annals of Biomedical Engineering",
issn = "0090-6964",
publisher = "Springer Verlag",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The Resistivity of Human Brain Tumours In Vivo

AU - Latikka, J.

AU - Eskola, H.

PY - 2019/3/15

Y1 - 2019/3/15

N2 - The histological structure of tumour tissues differs from healthy brain tissues. It can therefore be assumed that there are differences also in the electrical characteristics of these tissues. The electrical characteristics of the tissues define how electric current is distributed within volume conductors, such as the human body or head. Incorrect values affect, for example, the accuracy of impedance tomography or EEG source localisation. However, no controlled experimental data for human in vivo brain tumour resistivity values have been reported thus far. We have developed a controlled method for detecting the electrical resistivities of living brain tissue and investigated different types of brain tumours. The measurements were taken during brain surgeries conducted to remove the tumours. For analysis purposes, the tumours were divided into the following categories: meningiomas, low-grade gliomas, high-grade gliomas (glioblastomas) and other tumours or lesions. The averages of the measured resistivity values were 530 Ω-cm for meningiomas, 160 Ω-cm for low-grade gliomas, and 498 Ω-cm for high-grade gliomas. The differences in high- and low-grade glioma values and meningioma and low-grade glioma values were statistically highly significant. The tumour values were also compared to surrounding healthy brain tissues, and the difference ranged from 40 to 330%. The results suggest that certain tumour types have different electronic properties and that the resistivity values could be used to distinguish tumour tissue from surrounding healthy tissue and to identify and classify certain brain tumour types.

AB - The histological structure of tumour tissues differs from healthy brain tissues. It can therefore be assumed that there are differences also in the electrical characteristics of these tissues. The electrical characteristics of the tissues define how electric current is distributed within volume conductors, such as the human body or head. Incorrect values affect, for example, the accuracy of impedance tomography or EEG source localisation. However, no controlled experimental data for human in vivo brain tumour resistivity values have been reported thus far. We have developed a controlled method for detecting the electrical resistivities of living brain tissue and investigated different types of brain tumours. The measurements were taken during brain surgeries conducted to remove the tumours. For analysis purposes, the tumours were divided into the following categories: meningiomas, low-grade gliomas, high-grade gliomas (glioblastomas) and other tumours or lesions. The averages of the measured resistivity values were 530 Ω-cm for meningiomas, 160 Ω-cm for low-grade gliomas, and 498 Ω-cm for high-grade gliomas. The differences in high- and low-grade glioma values and meningioma and low-grade glioma values were statistically highly significant. The tumour values were also compared to surrounding healthy brain tissues, and the difference ranged from 40 to 330%. The results suggest that certain tumour types have different electronic properties and that the resistivity values could be used to distinguish tumour tissue from surrounding healthy tissue and to identify and classify certain brain tumour types.

KW - Conductivity

KW - Modelling

KW - Tissue electrical properties

U2 - 10.1007/s10439-018-02189-7

DO - 10.1007/s10439-018-02189-7

M3 - Article

VL - 47

SP - 706

EP - 713

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

SN - 0090-6964

IS - 3

ER -