Early prediction of response to neoadjuvant chemotherapy using quantitative dynamic contrast-enhanced magnetic resonance imaging in locally advanced breast cancer
探索新辅助化疗(neoadjuvant chemotherapy,NAC)1个周期后动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量分析在预测局部进展期乳腺癌(locally advanced breast cancer,LABC)化疗效果中的价值。
值的曲线下面积(area under curve,AUC)为0.749,阈值为0.202/min,灵敏度为100.00%,特异度为63.16%。而K
ep
及V
e
值的预测效能降低,AUC分别为0.667、0.632。
结论:
NAC前所有DCE-MRI的K
trans
、K
ep
、V
e
值均不能够预测疗效;化疗1个周期后K
trans
是预测组织学显著反应的最佳指标,K
ep
、V
e
值可作为辅助预测指标。
Abstract
Objecctive:
To determine whether quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) after the first cycle of neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC) could predict final pathologic response.
Methods:
Twenty-eight patients with LABC who had undergone NAC were enrolled. All of them were imaged using DCE-MRI with 38 phases (10 s per phase) at the baseline and were repeatedly scanned after the first cycle of treatment. DCE-MRI kinetic parameters (K
trans
K
ep
V
e
) were calculated. Subjects were divided into major histological response group and non-major histological response group according to the surgical pathologic specimen. All parameters were compared by Student t test or nonparametric test. The diagnostic performance of different parameters (including K
trans
K
ep
and V
e
) was judged by the receiver operating characteristic (ROC) curve analysis.
Results:
Nine (32.1%) of 28 patients showed major histological response and 19 (67.9%) showed non-major histological response. No difference in all pre-treatment parameters (including K
trans
K
ep
and V
e
) was found between groups (
P
>0.05). At the end of the first cycle of treatment
the K
trans
value and K
ep
value were significantly lower than that of the baseline (
P
<0.05)
while the changes of V
e
value during the treatment was not significant (
P
>0.05). K
trans
wassignificantly different between major histological responders from non-major histological responders (
P
<0.05) after a single cycle of chemotherapy. ROC curve analysis showed that the area und
er curve (AUC) of K
trans
was 0.749. When the optimal cut-off was set at 0.202
the values for sensitivity and specificity were up to 100.00% and 63.16%. The AUCs of K
ep
and V
e
were 0.667 and 0.632
respectively.
Conclusion:
Before treatment
all DCE-MRI kinetic parameters (K
trans
K
ep
V
e
) can not predict treatment response. At the end of the first cycle of treatment
K
trans
was the best predictor of major histologic response