TY - JOUR
T1 - Ultrafast Dynamic Contrast-Enhanced Breast MRI
T2 - Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density
AU - Mori, Naoko
AU - Abe, Hiroyuki
AU - Mugikura, Shunji
AU - Takasawa, Chiaki
AU - Sato, Satoko
AU - Miyashita, Minoru
AU - Mori, Yu
AU - Pineda, Federico D.
AU - Karczmar, Gregory S.
AU - Tamura, Hajime
AU - Takahashi, Shoki
AU - Takase, Kei
N1 - Funding Information:
Funding: This study was supported by JSPS KAKENHI under grants 26461783 and 15K09913 .
Funding Information:
Funding: This study was supported by JSPS KAKENHI under grants 26461783 and 15K09913. Funding: This study was supported by JSPS KAKENHI under grants 26461783 and 15K09913. The authors thank Yumi Fujimoto in Tohoku University Hospital and Shomo Chou, Mari Yamaoka, Hiroki Ichida, Mayu Sawaguchi, and Kazufumi Watanabe in Tohoku University for their kind support. Funding: This study was supported by JSPS KAKENHI under grants 26461783 and 15K09913.
Publisher Copyright:
© 2018 The Association of University Radiologists
PY - 2019/7
Y1 - 2019/7
N2 - Rationale and Objectives: To evaluate whether parameters from empirical mathematical model (EMM) for ultrafast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) correlate with histological microvessel density (MVD) in invasive breast cancer. Materials and Methods: Ninety-eight consecutive patients with invasive breast cancer underwent an institutional review board-approved ultrafast DCE-MRI including a pre- and 18 postcontrast whole breast ultrafast scans (3 seconds) followed by four standard scans (60 seconds) using a 3T system. Region of interest was placed within each lesion where the highest signal increase was observed on ultrafast DCE-MRI, and the increase rate of enhancement was calculated as follows: ΔS = (SIpost − SIpre)/SIpre. The kinetic curve obtained from ultrafast DCE-MRI was analyzed using a truncated EMM: ΔS(t) = A(1 − e− αt), where A is the upper limit of the signal intensity, α (min−1) is the rate of signal increase. The initial slope of the kinetic curve is given by Aα. Initial area under curve (AUC30) and time of initial enhancement was calculated. From the standard DCE-MRI, the initial enhancement rate (IER) and the signal enhancement ratio (SER) were calculated as follows: IER = (SIearly − SIpre)/SIpre, SER = (SIearly − SIpre)/(SIdelayed − SIpre). The parameters were compared to MVD obtained from surgical specimens. Results: A, α, Aα, AUC30, and time of initial enhancement significantly correlated with MVD (r = 0.29, 0.40, 0.51, 0.43, and −0.32 with p = 0.0027, p < 0.0001, p < 0.0001, p < 0.0001, and p = 0.0012, respectively), whereas IER and SER from standard DCE-MRI did not. Conclusion: The parameters of the EMM, especially the initial slope or Aα, for ultrafast DCE-MRI correlated with MVD in invasive breast cancer.
AB - Rationale and Objectives: To evaluate whether parameters from empirical mathematical model (EMM) for ultrafast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) correlate with histological microvessel density (MVD) in invasive breast cancer. Materials and Methods: Ninety-eight consecutive patients with invasive breast cancer underwent an institutional review board-approved ultrafast DCE-MRI including a pre- and 18 postcontrast whole breast ultrafast scans (3 seconds) followed by four standard scans (60 seconds) using a 3T system. Region of interest was placed within each lesion where the highest signal increase was observed on ultrafast DCE-MRI, and the increase rate of enhancement was calculated as follows: ΔS = (SIpost − SIpre)/SIpre. The kinetic curve obtained from ultrafast DCE-MRI was analyzed using a truncated EMM: ΔS(t) = A(1 − e− αt), where A is the upper limit of the signal intensity, α (min−1) is the rate of signal increase. The initial slope of the kinetic curve is given by Aα. Initial area under curve (AUC30) and time of initial enhancement was calculated. From the standard DCE-MRI, the initial enhancement rate (IER) and the signal enhancement ratio (SER) were calculated as follows: IER = (SIearly − SIpre)/SIpre, SER = (SIearly − SIpre)/(SIdelayed − SIpre). The parameters were compared to MVD obtained from surgical specimens. Results: A, α, Aα, AUC30, and time of initial enhancement significantly correlated with MVD (r = 0.29, 0.40, 0.51, 0.43, and −0.32 with p = 0.0027, p < 0.0001, p < 0.0001, p < 0.0001, and p = 0.0012, respectively), whereas IER and SER from standard DCE-MRI did not. Conclusion: The parameters of the EMM, especially the initial slope or Aα, for ultrafast DCE-MRI correlated with MVD in invasive breast cancer.
KW - Breast cancer
KW - Dynamic contrast-enhanced MRI
KW - Magnetic resonance imaging
KW - Microvessels
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U2 - 10.1016/j.acra.2018.08.016
DO - 10.1016/j.acra.2018.08.016
M3 - Article
C2 - 30269956
AN - SCOPUS:85054072797
SN - 1076-6332
VL - 26
SP - e141-e149
JO - Academic Radiology
JF - Academic Radiology
IS - 7
ER -