Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography

FERNANDES, J., SANNACHI, L., TRAN, William, KOVEN, A., WATKINS, E., HADIZAD, F., GANDHI, S., WRIGHT, F., CURPEN, B., EL KAFFAS, A., FALTYN, J., SADEGHI-NAINI, A. and CZARNOTA, G. (2019). Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography. Translational Oncology, 12 (9), 1177-1184.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.tranon.2019.05.004
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    Abstract

    © 2019 The Authors Strain elastography was used to monitor response to neoadjuvant chemotherapy (NAC) in 92 patients with biopsy-proven, locally advanced breast cancer. Strain elastography data were collected before, during, and after NAC. Relative changes in tumor strain ratio (SR) were calculated over time, and responder status was classified according to tumor size changes. Statistical analyses determined the significance of changes in SR over time and between response groups. Machine learning techniques, such as a naïve Bayes classifier, were used to evaluate the performance of the SR as a marker for Miller-Payne pathological endpoints. With pathological complete response (pCR) as an endpoint, a significant difference (P < .01) in the SR was observed between response groups as early as 2 weeks into NAC. Naïve Bayes classifiers predicted pCR with a sensitivity of 84%, specificity of 85%, and area under the curve of 81% at the preoperative scan. This study demonstrates that strain elastography may be predictive of NAC response in locally advanced breast cancer as early as 2 weeks into treatment, with high sensitivity and specificity, granting it the potential to be used for active monitoring of tumor response to chemotherapy.

    Item Type: Article
    Uncontrolled Keywords: Oncology & Carcinogenesis
    Identification Number: https://doi.org/10.1016/j.tranon.2019.05.004
    Page Range: 1177-1184
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 24 Feb 2020 16:46
    Last Modified: 24 Feb 2020 16:46
    URI: http://shura.shu.ac.uk/id/eprint/25875

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