Dielectric imaging for differentiation between cancer and inflammation in vivo

Rimi Lee; Sun Mi Lee; Hyung Joon Kim; Sook Young Kim; Mina Son; Jun Ho Song; Khulan Lkhamsuren; In Ho Park; In Hong Choi; Young Nyun Park; Jeon Soo Shin; Kyung Hwa Yoo

doi:10.1038/s41598-017-13545-3

Dielectric imaging for differentiation between cancer and inflammation in vivo

Rimi Lee, Sun Mi Lee, Hyung Joon Kim, Sook Young Kim, Mina Son, Jun Ho Song, Khulan Lkhamsuren, In Ho Park, In Hong Choi, Young Nyun Park, Jeon Soo Shin, Kyung Hwa Yoo

Department of Physics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this study, we develop an in vivo dielectric imaging technique that measures capacitance using pin-type electrode arrays. Compared to normal tissues, cancer tissues exhibit higher capacitance values, allowing us to image the cancer region and monitor the chemotherapeutic effects of cancer in real-time. A comparison with the histopathological results shows that the in vivo dielectric imaging technique is able to detect small tumors (<3 mm) and tumor-associated changes. In addition, we demonstrate that cancer and inflammation may be distinguished by measuring the capacitance images at different frequencies. In contrast, the positron emission tomography using 2-[¹⁸F]-fluoro-2-deoxy-D-glucose was not capable of discriminating between cancer and inflammation.

Original language	English
Article number	13137
Journal	Scientific reports
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41598-017-13545-3
Publication status	Published - 2017 Dec 1

Bibliographical note

Funding Information:
This work was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science (Grant Nos. NRF-2016R1A2B3011980, NRF-2016R1A2B4014999, NRF-2012R1A4A10209061, NRF-2014R1A4A1008625, and 2017R1A2B3006704), and Brain Korea 21 PLUS project for Medical Science.

All Science Journal Classification (ASJC) codes

General

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@article{7f2908a7c80047b6817ccc013c188570,

title = "Dielectric imaging for differentiation between cancer and inflammation in vivo",

abstract = "In this study, we develop an in vivo dielectric imaging technique that measures capacitance using pin-type electrode arrays. Compared to normal tissues, cancer tissues exhibit higher capacitance values, allowing us to image the cancer region and monitor the chemotherapeutic effects of cancer in real-time. A comparison with the histopathological results shows that the in vivo dielectric imaging technique is able to detect small tumors (<3 mm) and tumor-associated changes. In addition, we demonstrate that cancer and inflammation may be distinguished by measuring the capacitance images at different frequencies. In contrast, the positron emission tomography using 2-[18F]-fluoro-2-deoxy-D-glucose was not capable of discriminating between cancer and inflammation.",

author = "Rimi Lee and Lee, {Sun Mi} and Kim, {Hyung Joon} and Kim, {Sook Young} and Mina Son and Song, {Jun Ho} and Khulan Lkhamsuren and Park, {In Ho} and Choi, {In Hong} and Park, {Young Nyun} and Shin, {Jeon Soo} and Yoo, {Kyung Hwa}",

note = "Funding Information: This work was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science (Grant Nos. NRF-2016R1A2B3011980, NRF-2016R1A2B4014999, NRF-2012R1A4A10209061, NRF-2014R1A4A1008625, and 2017R1A2B3006704), and Brain Korea 21 PLUS project for Medical Science.",

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doi = "10.1038/s41598-017-13545-3",

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Dielectric imaging for differentiation between cancer and inflammation in vivo. / Lee, Rimi; Lee, Sun Mi; Kim, Hyung Joon; Kim, Sook Young; Son, Mina; Song, Jun Ho; Lkhamsuren, Khulan; Park, In Ho; Choi, In Hong; Park, Young Nyun; Shin, Jeon Soo; Yoo, Kyung Hwa.

In: Scientific reports, Vol. 7, No. 1, 13137, 01.12.2017.

Research output: Contribution to journal › Article › peer-review

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AU - Lkhamsuren, Khulan

AU - Park, In Ho

AU - Choi, In Hong

AU - Park, Young Nyun

AU - Shin, Jeon Soo

AU - Yoo, Kyung Hwa

N1 - Funding Information: This work was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science (Grant Nos. NRF-2016R1A2B3011980, NRF-2016R1A2B4014999, NRF-2012R1A4A10209061, NRF-2014R1A4A1008625, and 2017R1A2B3006704), and Brain Korea 21 PLUS project for Medical Science.

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