Title |
Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
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Published in |
Breast Cancer Research, November 2011
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DOI | 10.1186/bcr3050 |
Pubmed ID | |
Authors |
Helen J Hathaway, Kimberly S Butler, Natalie L Adolphi, Debbie M Lovato, Robert Belfon, Danielle Fegan, Todd C Monson, Jason E Trujillo, Trace E Tessier, Howard C Bryant, Dale L Huber, Richard S Larson, Edward R Flynn |
Abstract |
Breast cancer detection using mammography has improved clinical outcomes for many women, because mammography can detect very small (5 mm) tumors early in the course of the disease. However, mammography fails to detect 10 - 25% of tumors, and the results do not distinguish benign and malignant tumors. Reducing the false positive rate, even by a modest 10%, while improving the sensitivity, will lead to improved screening, and is a desirable and attainable goal. The emerging application of magnetic relaxometry, in particular using superconducting quantum interference device (SQUID) sensors, is fast and potentially more specific than mammography because it is designed to detect tumor-targeted iron oxide magnetic nanoparticles. Furthermore, magnetic relaxometry is theoretically more specific than MRI detection, because only target-bound nanoparticles are detected. Our group is developing antibody-conjugated magnetic nanoparticles targeted to breast cancer cells that can be detected using magnetic relaxometry. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Germany | 1 | <1% |
India | 1 | <1% |
Turkey | 1 | <1% |
Korea, Republic of | 1 | <1% |
Canada | 1 | <1% |
Unknown | 144 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 29% |
Researcher | 22 | 15% |
Student > Bachelor | 15 | 10% |
Student > Master | 13 | 9% |
Student > Doctoral Student | 10 | 7% |
Other | 23 | 15% |
Unknown | 24 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 26 | 17% |
Agricultural and Biological Sciences | 21 | 14% |
Biochemistry, Genetics and Molecular Biology | 15 | 10% |
Chemistry | 15 | 10% |
Physics and Astronomy | 12 | 8% |
Other | 26 | 17% |
Unknown | 36 | 24% |