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Article

Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions

  • Authors:
    • Zhen‑Shen Ma
    • Da‑Wei Wang
    • Xiu‑Bin Sun
    • Hao Shi
    • Tao Pang
    • Gui‑Qing Dong
    • Cheng‑Qi Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China, Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong 250012, P.R. China
  • Pages: 913-918
    |
    Published online on: December 22, 2014
       https://doi.org/10.3892/etm.2014.2154
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Abstract

The aim of this study was to investigate the value of quantitative 3‑Tesla (3T) magnetic resonance (MR) assessment in the diagnosis of breast lesions. A total of 44 patients with breast lesions were selected. All the patients underwent MR plain scanning and T1 dynamic contrast‑enhanced imaging. The vascular function parameters of the lesions, namely volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular volume fraction (Ve) and integrated area under the curve (iAUC), were acquired. These parameters were compared between benign and malignant breast lesions, and also among differential grades of invasive ductal carcinoma. The values of Ktrans, Kep and iAUC were significantly different between the benign and malignant tumors; however, the values of Ve in the benign and malignant tumors were not significantly different. The values of Ktrans, Kep and iAUC in invasive ductal carcinoma were significantly different between grade I and grade II, and between grade I and grade III; however, there was no significant difference between grade II and grade III. The Ve values in invasive ductal carcinoma did not significantly differ among grades I, II and III. Among the vascular function parameters, Ktrans exhibited the highest sensitivity and specificity in the differentiation of benign and malignant lesions. Quantitative 3‑T MR assessment is valuable in the diagnosis of benign and malignant breast lesions. It can also provide reference values for the differentiation of the histological grade of breast invasive ductal carcinoma.
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Copy and paste a formatted citation
Spandidos Publications style
Ma ZS, Wang DW, Sun XB, Shi H, Pang T, Dong GQ and Zhang CQ: Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions. Exp Ther Med 9: 913-918, 2015.
APA
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., & Zhang, C. (2015). Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions. Experimental and Therapeutic Medicine, 9, 913-918. https://doi.org/10.3892/etm.2014.2154
MLA
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., Zhang, C."Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions". Experimental and Therapeutic Medicine 9.3 (2015): 913-918.
Chicago
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., Zhang, C."Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions". Experimental and Therapeutic Medicine 9, no. 3 (2015): 913-918. https://doi.org/10.3892/etm.2014.2154
Copy and paste a formatted citation
x
Spandidos Publications style
Ma ZS, Wang DW, Sun XB, Shi H, Pang T, Dong GQ and Zhang CQ: Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions. Exp Ther Med 9: 913-918, 2015.
APA
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., & Zhang, C. (2015). Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions. Experimental and Therapeutic Medicine, 9, 913-918. https://doi.org/10.3892/etm.2014.2154
MLA
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., Zhang, C."Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions". Experimental and Therapeutic Medicine 9.3 (2015): 913-918.
Chicago
Ma, Z., Wang, D., Sun, X., Shi, H., Pang, T., Dong, G., Zhang, C."Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions". Experimental and Therapeutic Medicine 9, no. 3 (2015): 913-918. https://doi.org/10.3892/etm.2014.2154
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