Structural health monitoring of tissue mechanics for non-invasive diagnosis of breast cancer
A hysteresis loop analysis (HLA) method for breast cancer diagnosis based on a non-invasive digital imaging elasto-tomography (DIET) screening system is evaluated using data from 3 clinical trial patients, comprising 2 healthy breasts and 4 breasts with cancer. The identified mechanical nominal stif...
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| Veröffentlicht in: | Automatisierungstechnik : AT 2018-12, Vol.66 (12), p.1037-1050 |
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| container_title | Automatisierungstechnik : AT |
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| creator | Zhou, Cong Hainsworth, Brent Sydney, Maxwell Lee, Michael Ormsby, Zane Haggers, Marcus Chase, J. Geoffrey |
| description | A hysteresis loop analysis (HLA) method for breast cancer diagnosis based on a non-invasive digital imaging elasto-tomography (DIET) screening system is evaluated using data from 3 clinical trial patients, comprising 2 healthy breasts and 4 breasts with cancer. The identified mechanical nominal stiffness with ∼2x higher values compared to healthy tissue stiffness localized the correct cancerous area (CA) or tumor location, matching the mammography detection for all 4 breasts with cancer. The difference in identified stiffness varies across different frequencies and individuals. However, the identified stiffness for all healthy breasts and/or health tissue regions are consistent across frequencies, avoiding false positive diagnosis. The overall approach can be implemented automatically without requiring a skilled operator, thus reducing the screening cost. |
| doi_str_mv | 10.1515/auto-2018-0065 |
| format | Article |
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The overall approach can be implemented automatically without requiring a skilled operator, thus reducing the screening cost.</description><identifier>ISSN: 0178-2312</identifier><identifier>EISSN: 2196-677X</identifier><identifier>DOI: 10.1515/auto-2018-0065</identifier><language>eng</language><publisher>De Gruyter Oldenbourg</publisher><subject>breast cancer ; Brustkrebs ; clinical trials ; DIET ; digital imaging-based elasto-tomography ; Digitale Bildbearbeitung Elasto-Tomographie ; Hysterese-Loop-Analyse ; hysteresis loop analysis ; Klinische Versuche</subject><ispartof>Automatisierungstechnik : AT, 2018-12, Vol.66 (12), p.1037-1050</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c294t-83fbe7d5592d16b939b17d073cc4e0d63f0ac31fa6672072219ba7389cc5f5d43</citedby><cites>FETCH-LOGICAL-c294t-83fbe7d5592d16b939b17d073cc4e0d63f0ac31fa6672072219ba7389cc5f5d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/auto-2018-0065/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/auto-2018-0065/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,66625,68409</link.rule.ids></links><search><creatorcontrib>Zhou, Cong</creatorcontrib><creatorcontrib>Hainsworth, Brent</creatorcontrib><creatorcontrib>Sydney, Maxwell</creatorcontrib><creatorcontrib>Lee, Michael</creatorcontrib><creatorcontrib>Ormsby, Zane</creatorcontrib><creatorcontrib>Haggers, Marcus</creatorcontrib><creatorcontrib>Chase, J. 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The overall approach can be implemented automatically without requiring a skilled operator, thus reducing the screening cost.</description><subject>breast cancer</subject><subject>Brustkrebs</subject><subject>clinical trials</subject><subject>DIET</subject><subject>digital imaging-based elasto-tomography</subject><subject>Digitale Bildbearbeitung Elasto-Tomographie</subject><subject>Hysterese-Loop-Analyse</subject><subject>hysteresis loop analysis</subject><subject>Klinische Versuche</subject><issn>0178-2312</issn><issn>2196-677X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEURYMoWKtb1_kDqflokpmNIEWtUHChggshZPLRprSJJJlK_70z1K2r9xb3PN49ANwSPCOc8Dvd14QoJg3CWPAzMKGkFUhI-XkOJpjIBlFG6CW4KmWLMRVDdAK-3mruTe2z3sGN07u6gfsUQ005xDVMHtZQSu_g3pmNjsEU6FOGMUUU4kGXcHDQBr2OqYQyxrvsdKnQ6GhcvgYXXu-Ku_mbU_Dx9Pi-WKLV6_PL4mGFDG3nFTXMd05azltqieha1nZEWiyZMXOHrWAea8OI10JIiiUdenVasqY1hntu52wKZqe7JqdSsvPqO4e9zkdFsBrdqNGNGt2o0c0A3J-An6Gxy9atc38cFrVNfY7Dq_-AQhBKMJPsF7xvbkM</recordid><startdate>20181219</startdate><enddate>20181219</enddate><creator>Zhou, Cong</creator><creator>Hainsworth, Brent</creator><creator>Sydney, Maxwell</creator><creator>Lee, Michael</creator><creator>Ormsby, Zane</creator><creator>Haggers, Marcus</creator><creator>Chase, J. 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The difference in identified stiffness varies across different frequencies and individuals. However, the identified stiffness for all healthy breasts and/or health tissue regions are consistent across frequencies, avoiding false positive diagnosis. The overall approach can be implemented automatically without requiring a skilled operator, thus reducing the screening cost.</abstract><pub>De Gruyter Oldenbourg</pub><doi>10.1515/auto-2018-0065</doi><tpages>14</tpages></addata></record> |
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| ispartof | Automatisierungstechnik : AT, 2018-12, Vol.66 (12), p.1037-1050 |
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| language | eng |
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| source | De Gruyter journals |
| subjects | breast cancer Brustkrebs clinical trials DIET digital imaging-based elasto-tomography Digitale Bildbearbeitung Elasto-Tomographie Hysterese-Loop-Analyse hysteresis loop analysis Klinische Versuche |
| title | Structural health monitoring of tissue mechanics for non-invasive diagnosis of breast cancer |
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