Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities

SADEGHI-NAINI, A, SANNACHI, L, TADAYYON, H, TRAN, WT, SLODKOWSKA, E, TRUDEAU, M, GANDHI, S, PRITCHARD, K, KOLIOS, MC and CZARNOTA, GJ (2017). Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities. Scientific Reports, 7 (1), p. 10352.

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Official URL: https://www.nature.com/articles/s41598-017-09678-0
Link to published version:: https://doi.org/10.1038/s41598-017-09678-0
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    Abstract

    © 2017 The Author(s). Anti-cancer therapies including chemotherapy aim to induce tumour cell death. Cell death introduces alterations in cell morphology and tissue micro-structures that cause measurable changes in tissue echogenicity. This study investigated the effectiveness of quantitative ultrasound (QUS) parametric imaging to characterize intra-tumour heterogeneity and monitor the pathological response of breast cancer to chemotherapy in a large cohort of patients (n = 100). Results demonstrated that QUS imaging can non-invasively monitor pathological response and outcome of breast cancer patients to chemotherapy early following treatment initiation. Specifically, QUS biomarkers quantifying spatial heterogeneities in size, concentration and spacing of acoustic scatterers could predict treatment responses of patients with cross-validated accuracies of 82 ± 0.7%, 86 ± 0.7% and 85 ± 0.9% and areas under the receiver operating characteristic (ROC) curve of 0.75 ± 0.1, 0.80 ± 0.1 and 0.89 ± 0.1 at 1, 4 and 8 weeks after the start of treatment, respectively. The patients classified as responders and non-responders using QUS biomarkers demonstrated significantly different survivals, in good agreement with clinical and pathological endpoints. The results form a basis for using early predictive information on survival-linked patient response to facilitate adapting standard anti-cancer treatments on an individual patient basis.

    Item Type: Article
    Uncontrolled Keywords: Adult; Aged; Aged, 80 and over; Biological Variation, Population; Biomarkers, Tumor; Biopsy; Breast Neoplasms; Canada; Chemotherapy, Adjuvant; Female; Humans; Image Processing, Computer-Assisted; Immunohistochemistry; Kaplan-Meier Estimate; Middle Aged; Treatment Outcome; Tumor Burden; Ultrasonography; Humans; Breast Neoplasms; Ultrasonography; Biopsy; Treatment Outcome; Chemotherapy, Adjuvant; Tumor Burden; Immunohistochemistry; Image Processing, Computer-Assisted; Adult; Aged; Aged, 80 and over; Middle Aged; Canada; Female; Kaplan-Meier Estimate; Biomarkers, Tumor; Biological Variation, Population; 0601 Biochemistry and Cell Biology; 0299 Other Physical Sciences
    Identification Number: https://doi.org/10.1038/s41598-017-09678-0
    Page Range: p. 10352
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 31 Jan 2020 11:29
    Last Modified: 31 Jan 2020 11:30
    URI: http://shura.shu.ac.uk/id/eprint/25709

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