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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Correlation between the dynamic contrast-enhanced MRI features and prognostic factors in breast cancer: A
Weijing Tao1, Chunhong Hu, Genji Bai
1Department of Radiology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou Department of Pathology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, PR China.
Abstract:
This study analyzed the correlation between the dynamic contrast-enhanced MRI (DCE-MRI) features with prognostic factors of breast cancer. Eighty-five breast cancer patients verified by pathology and immunohistochemistry underwent DCE-MRI examination. Spearman correlation analysis was used to analyze the DCE-MRI features [the strengthening types, shape, distribution, edge, internal reinforcement and the time-signal intensity curve (TIC) types] and the 4 immunohistochemical markers (ER, PR, Her-2, and Ki-67) by GraphPad InStat version 6.0 software. The enhanced morphology types, shapes, edge had significant correlation with the expression of ER (P = .001, P = .000, P = .001, respectively), PR (P = .045, P = .015, P = .000, respectively) and Ki-67 (P = .039, P = .000, P = .024, respectively), and no significant correlation with Her-2 expression (P = .906, P = .074, P = .679, respectively) was observed. There was significant correlation between internal enhancement patterns and Ki-67 expression (P = .004), and no significant correlation between internal enhancement patterns and the expression of ER, PR, and Her-2 (P = .208, P = .682, P = .437, respectively) was observed. TIC had significant correlation with ER, Ki-67 expressions (P = .022, P = .001, respectively), and no correlation with expressions of PR and Her-2 (P = .128, P = .391, respectively) was observed. The DCE-MRI features of breast cancer were well correlated with the expression of immunohistochemistry, and might also be helpful to evaluate the biological progress and prognosis.
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