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  • br Dynamic enhanced magnetic resonance imaging comparing

    2020-08-12


    Dynamic enhanced magnetic resonance imaging comparing lesion TIC type results
    According to the TIC classification criteria of time signal inten-sity curve, before neoadjuvant chemotherapy, in 30 cases of malignant lesions, the number of type I is 0, the number of type II is 8, and the number of type III is 22. After neoadjuvant chemotherapy, the results of TIC type change are shown in Table 3.
    Changes in quantitative analysis parameters of dynamic enhanced magnetic resonance imaging before and after neoadjuvant chemotherapy
    CR and PR are classified into effective group (15 cases), PD and SD are classified as ineffective group (15 cases), and the changes of quantitative parameters of dynamic enhanced mag-netic resonance imaging before and after neoadjuvant therapy are analyzed. The results are shown in Table 4. The changes of Ktrans and Kep in the effective group before and after neoadjuvant chemotherapy are statistically significant (P < 0.001), but there is no statistically significant change in Ve and Vp before and after neoad-juvant chemotherapy (P = 0.834, P = 0.264). In the ineffective group, Ktrans , Kep , Ve , and Vp are not statistically significant before and after neoadjuvant chemotherapy (P = 0.4415, P = 0.3673, P = 0.204, P = 0.138). It can be seen that the dynamic analysis of magnetic res-onance imaging quantitative parameters Ktrans and Kep in breast cancer neoadjuvant chemotherapy and RECIST criteria are uniform, while the parameters Ve and Vp cannot effectively evaluate the efficacy of neoadjuvant chemotherapy for breast cancer.
    Fig. 2. Contrast imaging of dynamic NMR tumor morphology before and after neoadjuvant chemotherapy.
    Please cite this SCR-7 article in press as: Yang C, Zhao H. Application of dynamic magnetic resonance imaging information technology SCR-7 in adjuvant chemotherapy for breast cancer. J Infect Public Health (2019), https://doi.org/10.1016/j.jiph.2019.06.020
    G Model
    Table 4
    Analysis results of quantitative parameters of dynamic enhanced magnetic resonance imaging before and after neoadjuvant chemotherapy.
    Quantitative parameter Effective group (before NAC) Effective group (after NAC) Invalid group (before NAC) Invalid group (after NAC)
    Conclusion
    In this study, the application of dynamic magnetic resonance imaging in adjuvant chemotherapy for breast cancer is studied. Female patients diagnosed with breast cancer are selected as subjects, and DCE-MRI is performed to analyze the changes of lesions before and after neoadjuvant chemotherapy. The patho-logical changes are compared by hematoxylin and eosin staining, the dynamic NMR morphological changes are evaluated, the semi-quantitative analysis is compared to the lesion TIC type, and the quantitative analysis of the parameters is used to evaluate the efficacy. The results show that the dynamic enhanced magnetic resonance imaging is effective. The group (RECIST criteria for CR and PR) shows statistically significant changes in the parameters of Ktrans and Kep in the quantitative analysis of lesions before and after neoadjuvant chemotherapy, indicating that Ktrans and Kep have a uniformity in the evaluation of neoadjuvant chemotherapy for breast cancer and RECIST criteria. It can be used for qualitative diagnosis of breast tumors.
    Therefore, through the application of dynamic magnetic reso-nance imaging in breast cancer adjuvant chemotherapy, dynamic enhanced magnetic resonance imaging can accurately evaluate the neoadjuvant chemotherapy of breast cancer from the microscopic molecular level, and can reflect the microvascular environment and tissue of the lesion. Changes in internal components provide a reliable basis for the diagnosis and treatment of breast cancer. However, there are some shortcomings in the research process. For example, the sample data collection is small and the result is biased to a certain extent. Therefore, the data capacity will be fur-ther increased in the later research process, so that the obtained results are more valuable.
    Funding
    No funding sources.
    Competing interests
    None declared. 
    References
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    [2] Surov A, Meyer HJ, Leifels L, Höhn AK, Richter C, Winter K. Histogram anal-ysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellu-larity, and nucleic areas in head and neck squamous cell carcinoma. Oncotarget 2018;9(30):21070–7.