Diffusion-weighted MR imaging in prediction of response to neoadjuvant chemotherapy in patients with breast cancer

作者：Hu, Xue-Ying; Li, Ying; Jin, Guan-Qiao; Lai, Shao-Lv; Huang, Xiang-Yang; Su, Dan-Ke^*

来源：Oncotarget, 2017, 8(45): 79642-79649.

DOI：10.18632/oncotarget.18999

• MRI
• apparent diffusion coefficient
• neoadjuvant chemotherapy
• breast cancer

This study aims to evaluate the potential of apparent diffusion coefficient (ADC) derived from diffusion-weighted MR imaging for predicting the treatment response to neoadjuvant chemotherapy (NACT) in patients with breast cancer. Magnetic resonance imaging was performed prior to NACT and after two cycles of NACT. The correlation between mean ADC(pre) values, mean ADC(post). values, changes in ADC values and changes in tumor diameters after NACT was examined using Spearman rank correlation. A total of 164 breast cancers were enrolled in this study. Mean ADCpre values of responders ([0.85 0.16] x 10(-3) mm(2)/s) and non-responders ([0.84 +/- 0.21] x 10(-3) mm(2)/s) had no significant difference (P = 0.759). While mean ADCp.st value of responders was significantly higher than that of non-responders ([1.17 +/- 0.37] x 10-3 mm(2)/s vs. [1.01 0.28] x 10(-3) mm(2)/s; P = 0.002). Both mean ADCpos, values (r = 0.288, P = 0.000) and changes in mean ADC values (r = 0.222, P = 0.004) were positively correlated to changes in tumor diameter after NACT, except for mean ADCpre values (r = 0.031, P = 0.695). Our results indicated that mean ADCpos, values and changes in ADC values after NACT might be a biological marker for assessing the efficacy of chemotherapy.

• 出版日期2017-10-3
• 单位广西医科大学