Magnetic nanoparticle detection in lymph nodes of breast cancer patients for cancer diagnosis
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- Kuwahata Akihiro
- The University of Tokyo, Tokyo, Japan
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- Taruno Kanae
- Showa University Hospital, Tokyo, Japan
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- Kurita Tomoko
- Nippon Medical School Hospital, Tokyo, Japan
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- Makita Masujiro
- Nippon Medical School Hospital, Tokyo, Japan
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- Chikaki Shinichi
- The University of Tokyo, Tokyo, Japan
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- Saito Itsuro
- iMed Japan Inc., Chiba, Japan
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- Takei Hiroyuki
- Nippon Medical School Hospital, Tokyo, Japan
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- Nakamura Seigo
- Showa University Hospital, Tokyo, Japan
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- Kusakabe Moriaki
- The University of Tokyo, Tokyo, Japan Matrix Cell Research Institute Inc., Ibaraki, Japan
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- Sekino Masaki
- The University of Tokyo, Tokyo, Japan
Bibliographic Information
- Other Title
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- がん診断における乳がんセンチネルリンパ節内の磁気ナノ粒子の検出
Abstract
<p>The quantitative detection of the magnetic nanoparticles (MNPs) in sentinel lymph nodes (SLNs) can help to diagnose cancer metastasis for breast cancer patients because the SLN (i.e., 1st SLN) containing the largest amount of the MNPs has the metastasis with the highest probability. In this study, we have optimized the frequency of alternating current (AC) magnetic fields under the application of direct current (DC) magnetic fields to achieve the highly-sensitive detection, and demonstrated the intraoperative detection of the MNPs accumulated into the SLNs to reduce the injection amount. Considering the noise signal and hysteresis loss, AC fields with 2-5 kHz was effective for the detection. The clinical trials with breast cancer patients, for the MNP detection using a developed device, revealed that the MNP amount of 1st SLN was ~40 ug. We will pursue the further detailed magnetic characteristics of the device and the MNPs for biomedical applications.</p>
Journal
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- Transactions of Japanese Society for Medical and Biological Engineering
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Transactions of Japanese Society for Medical and Biological Engineering Annual58 (Abstract), 284-284, 2020
Japanese Society for Medical and Biological Engineering
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Details 詳細情報について
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- CRID
- 1390285300180902784
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- NII Article ID
- 130007884938
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- ISSN
- 18814379
- 1347443X
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed