Characteristics of quantitative perfusion parameters on dynamic contrast‐enhanced MRI in mammographically occult breast cancer

Abstract

The purpose of this study was to compare the characteristics of quantitative perfusion parameters obtained from dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in patients with mammographically occult (MO) breast cancers and those with mammographically visible (MV) breast cancers. Quantitative parameters (AUC, Ktrans,kep,ve,vp, and wi) from 13 MO breast cancers and 16 MV breast cancers were mapped after the DCE‐MRI data were acquired. Various prognostic factors, including axillary nodal status, estrogen receptor (ER), progesterone receptor (PR), Ki‐67, p53, E‐cadherin, and human epidermal growth factor receptor 2 (HER2) were obtained in each group. Fisher's exact test was used to compare any differences of the various prognostic factors between the two groups. The Mann‐Whitney U test was applied to compare the quantitative parameters between these two groups. Finally, Spearman's correlation was used to investigate the relationships between perfusion indices and four factors — age, tumor size, Ki‐67, and p53 — for each group. Although age, tumor size, and the prognostic factors were not statistically different between the two groups, the mean values of the quantitative parameters, except wi in the MV group, were higher than those in the MO group without statistical significance false(p=0.219false). The kep value was significantly different between the two groups false(p=0.048false), but the other parameters were not. In the MO group, vp with size, ve with p53, and Ktrans and vp with Ki‐67 had significant correlations (p<0.05). However, in the MV group, only kep showed significant correlation with age. The kep value was only the perfusion parameter of statistical significance between MO and MV breast cancers.PACS number(s): 87.19.U‐, 87.61.‐c

Evaluating the Relationship Between Dynamic Contrast‐Enhanced MRI (DCE‐MRI) Parameters and Pathological Characteristics in Breast Cancer

“…Therefore, it is not surprising that these histopathologic factors are related to K trans , which reflects a combination of blood flow, vessel surface area, and vessel permeability and k ep , which reflects vessel permeability 17 . Also, the results mentioned above are consistent with the results of previous studies 7–9,22 . Based on the results of our study, DCE‐MRI perfusion parameters might be practically used when deciding determination success of antiangiogenic therapy, response to treatment/neoadjuvant chemotherapy, or even long‐term survival outcome.…”

“…17 Also, the results mentioned above are consistent with the results of previous studies. [7][8][9]22 Based on the results of our study, DCE-MRI perfusion parameters might be practically used when deciding determination success of antiangiogenic therapy, response to treatment/neoadjuvant chemotherapy, or even long-term survival outcome. However, some of the results were contrary to prior studies or what we expected.…”

Texture features and pharmacokinetic parameters in differentiating benign and malignant breast lesions by dynamic contrast enhanced magnetic resonance imaging

“…2, the corresponding pharmacokinetic parameter maps that calculated by the Extended Tofts Linear model were also gave out, including Ktrans images and AUC images. The lesion regions were obviously highlighted in the parameter images, which indicated a more higher permeability and perfusion when compared to the adjacent tissues (24,25).…”

Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging

“…In addition to directly detecting and quantifying the vascularity, the indirect effects of altered vascularity such as perfusion and blood oxygen levels can be measured using both DCE-MRI alone and DCE-MRI in combination with other imaging modalities. These indirect approaches detect increased blood flow and hypoxia and have been shown to be diagnostic of breast cancer and predictive of treatment response (32)(33)(34)(35)(36)(37)(38). However, this review will focus on efforts to detect vessels in DCE-MRI of the breast.…”