, Volume 83, Issue 1, pp 67-76

Monitoring Response to Primary Chemotherapy in Breast Cancer using Dynamic Contrast-enhanced Magnetic Resonance Imaging

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


Purpose. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows analysis of both tumor volume and contrast enhancement pattern using a single tool. We sought to investigate whether DCE-MRI could be used to predict histological response in patients undergoing primary chemotherapy (PCT) for breast cancer.

Patients and methods. Thirty patients with breast cancer, clinical diameter >3 cm or stage III A/B, received anthracycline and taxane based PCT. DCE-MRI was performed at the baseline, after two cycles and after four cycles of PCT, before surgery. Histological response was assessed using a five-point scheme. Grade 4 (small cluster of dispersed residual cancer cells) and grade 5 (no residual viable cancer cell) were defined as a major histopathological response (MHR).

Results. Univariate analysis showed that a >65% reduction in the tumor volume and a reduction in the early enhancement ratio (ECU) after two cycles of PCT were associated with a MHR. Multivariate analysis revealed that tumor volume reduction after two cycles of PCT was independently associated with a MHR (odds ratio [OR] 39.968, 95% confidence interval [CI] 3.438–464.962, p < 0.01). ECU reduction was still associated with a MHR (OR 2.50, 95% CI 0.263–23.775), but it did not retain statistical significance (p = 0.42). Combining tumor volume and ECU reduction after two cycles of PCT yielded a 93% diagnostic accuracy in identifying tumors achieving a pathological complete response (pCR) (histopathological grade 5).

Conclusions. DCE-MRI allows prediction of the effect of neoadjuvant chemotherapy in breast cancer. Although in our study tumor volume reduction after two cycles had the strongest predictive value, DCE-MRI has the potential to provide functional parameters that could be integrated to optimize neoadjuvant chemotherapy strategies.