Rationale and Objectives
To assess differences of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)
parameters at different postcontrast time points (TPs), and to explore the predictive
value of DCE-MRI parameters for axillary lymph node (ALN) metastasis of breast cancer.
Materials and Methods
A total of 107 breast cancer patients were included retrospectively, and 50 phases
were collected on DCE-MRI for each patient. DCE-MRI parameters Ktrans, Kep, Ve, TTP,
Peak, Washin, Washout, and AUC were extracted from the images at 67.8 seconds, 128.5
seconds, 189.2 seconds, 249.9 seconds, and 310.5 seconds (regard as TP1, 2, 3, 4,
and 5). Wilcoxon signed rank test was used to compare DCE-MRI parameters at different
postcontrast TPs. Logistic regression was performed to analyze the predictive value
of DCE-MRI parameters for ALN metastasis of breast cancer, and receiver operating
characteristic (ROC) curve was constructed to evaluate the predictive performance.
Results
The difference of DCE-MRI parameters between TP1, 2, 3, 4, and 5 was statistically
significant (p < 0.01) in breast cancer. The TPs are considered as the optimal TPs when DCE-MRI
parameters values reach the maximum. The optimal TPs of Ktrans, Kep, and Ve were respectively
at TP2, TP2, and TP4 (Ktrans2, Kep2, and Ve4). The optimal TPs of TTP, Peak, and AUC were at TP5 (TTP5, Peak5, and AUC5). AUC5 showed the ability to predict ALN metastasis of breast cancer (area under ROC curve = 0.656,
p < 0.05).
Conclusions
DCE-MRI parameters values were different at different postcontrast TPs. AUC5 may be an independent predictor of ALN metastasis in breast cancer.
Key Words
Abbreviations:
DCE-MRI (dynamic contrast enhanced magnetic resonance imaging), TP (time point (DCE-MRI post-contrast time points)), ALN (axillary lymph node), ROC (receiver operating characteristic), AUC (area under ROC curve), SLNB (sentinel lymph node biopsy), AIF (arterial input function)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: January 25, 2021
Accepted:
January 11,
2021
Received in revised form:
January 9,
2021
Received:
November 20,
2020
Identification
Copyright
© 2021 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
