scholarly journals Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging

2021 ◽  
Vol 1 ◽  
Author(s):  
David E. Frankhouser ◽  
Eric Dietze ◽  
Ashish Mahabal ◽  
Victoria L. Seewaldt
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Blood Vessels ◽  
Breast Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance

Angiogenesis is a key step in the initiation and progression of an invasive breast cancer. High microvessel density by morphological characterization predicts metastasis and poor survival in women with invasive breast cancers. However, morphologic characterization is subject to variability and only can evaluate a limited portion of an invasive breast cancer. Consequently, breast Magnetic Resonance Imaging (MRI) is currently being evaluated to assess vascularity. Recently, through the new field of radiomics, dynamic contrast enhanced (DCE)-MRI is being used to evaluate vascular density, vascular morphology, and detection of aggressive breast cancer biology. While DCE-MRI is a highly sensitive tool, there are specific features that limit computational evaluation of blood vessels. These include (1) DCE-MRI evaluates gadolinium contrast and does not directly evaluate biology, (2) the resolution of DCE-MRI is insufficient for imaging small blood vessels, and (3) DCE-MRI images are very difficult to co-register. Here we review computational approaches for detection and analysis of blood vessels in DCE-MRI images and present some of the strategies we have developed for co-registry of DCE-MRI images and early detection of vascularization.

scholarly journals Differentiation of breast tuberculosis and breast cancer using diffusion-weighted, T2-weighted and dynamic contrast-enhanced magnetic resonance imaging

2018 ◽  
Vol 22 (2) ◽  
Author(s):  
Dibuseng P. Ramaema ◽  
Richard J. Hift
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Adc Value ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Diffusion Weighted ◽  
Breast Tuberculosis ◽  
Contrast Enhanced

Background: The use of multi-parametric magnetic resonance imaging (MRI) in the evaluation of breast tuberculosis (BTB).Objectives: To evaluate the value of diffusion-weighted imaging (DWI), T2-weighted (T2W) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating breast cancer (BCA) from BTB.Method: We retrospectively studied images of 17 patients with BCA who had undergone preoperative MRI and 6 patients with pathologically proven BTB who underwent DCE-MRI during January 2014 to January 2015.Results: All patients were female, with the age range of BTB patients being 23–43 years and the BCA patients being 31–74 years. Breast cancer patients had a statistically significant lower mean apparent diffusion coefficient (ADC) value (1072.10 +/- 365.14), compared to the BTB group (1690.77 +/- 624.05, p = 0.006). The mean T2-weighted signal intensity (T2SI) was lower for the BCA group (521.56 +/- 233.73) than the BTB group (787.74 +/- 196.04, p = 0.020). An ADC mean cut-off value of 1558.79 yielded 66% sensitivity and 94% specificity, whilst the T2SI cut-off value of 790.20 yielded 83% sensitivity and 83% specificity for differentiating between BTB and BCA. The homogeneous internal enhancement for focal mass was seen in BCA patients only.Conclusion: Multi-parametric MRI incorporating the DWI, T2W and DCE-MRI may be a useful tool to differentiate BCA from BTB.

scholarly journals Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer. A Multicenter Analysis

2020 ◽  
Author(s):  
Alexey Surov ◽  
Maciej Pech ◽  
Jin You Kim ◽  
Marco Aiello ◽  
Wei Huang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Hormone Receptor ◽  
Hormone Receptor Status ◽  
Resonance Imaging ◽  
Ki 67 ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Abstract Background: To provide evident data regarding relationships between quantitative dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC).Methods: Data from 4 centers (200 female patients, mean age, 51.2 ± 11.5 years) were acquired. The following data were collected: histopathological diagnosis, tumor grade, stage, hormone receptor status, KI 67, and DCE MRI values including Ktrans (volume transfer constant), Ve (volume of the extravascular extracellular leakage space (EES) and Kep (diffusion of contrast medium from the EES back to the plasma). DCE MRI values between different groups were compared using the Mann–Whitney U test and by the Kruskal-Wallis H test. The association between DCE MRI and Ki 67 values was calculated by Spearman’s rank correlation coefficient. Results: DCE MRI values of different tumor subtypes overlapped significantly. There were no statistically significant differences of DCE MRI values between different tumor grades. All DCE MRI parameters correlated with KI 67: Ktrans, r = 0.44, p=0.0001; Ve, r = 0.34, p=0.0001; Kep, r = 0.28, p=0.002. ROC analysis identified a Ktrans threshold of 0.3 min-1 for discrimination of tumors with low KI 67 expression (<25%) and high KI 67 expression (≥25%): sensitivity, 75.5%, specificity, 73.0%, accuracy, 74.0%, AUC, 0.78. DCE MRI values overlapped between tumors with different T and N stages.Conclusion: Ktrans, Kep, and Ve cannot be used as reliable a surrogate marker for hormone receptor status, tumor stage and grade in BC. Ktrans may discriminate lesions with high and lower proliferation activity.

A Preliminary Report on the Clinical Experience with AlloDerm in Breast Reconstruction and its Radiologic Appearance

2010 ◽  
Vol 76 (10) ◽  
pp. 1123-1126 ◽  
Author(s):  
Hop S. Tran Cao ◽  
Christopher Tokin ◽  
Jason Konop ◽  
Haydee Ojeda-Fournier ◽  
James Chao ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Reconstruction ◽  
Breast Magnetic Resonance Imaging ◽  
Radiographic Evaluation ◽  
Resonance Imaging ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance ◽  
Tissue Matrix

Human acellular tissue matrix (AlloDerm) use in breast reconstruction has become popular. Traditionally used for prosthesis coverage, it is also used in our practice as a filler for lumpectomy defects and a contouring device. However, no report presently exists that describes its appearance on oncologic surveillance studies. We performed a retrospective review of all charts of patients having undergone cancer-related breast reconstruction using AlloDerm as a filler at a single institution between 2005 and 2009. Postoperative mammograms and dynamic contrast enhanced breast magnetic resonance imaging were reviewed with a dedicated breast imager. Sixteen women underwent surgery involving placement of an AlloDerm roll in the breast. Postoperative films were unavailable for two of them. Of the remaining 14 patients, nine had postoperative mammograms only, three had postoperative dynamic contrast enhanced breast magnetic resonance imaging only, and two patients had both. In all cases, evaluation of the postoperative images was not affected by the presence of AlloDerm. In our short-term, retrospective experience, we find that a thorough radiographic evaluation of the breast tissue remains possible when AlloDerm rolls are used in reconstruction.

scholarly journals Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Assessment of Inflammatory Breast Cancer Prior to and After Neoadjuvant Treatment

Breast Care ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 224-229 ◽  
Author(s):  
Dominique J.P. van Uden ◽  
J. Hans W. de Wilt ◽  
Carla Meeuwis ◽  
Charlotte F.J.M. Blanken-Peeters ◽  
Ritse M. Mann
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Inflammatory Breast Cancer ◽  
Residual Disease ◽  
Complete Response ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Background: The aim of this study was to describe the dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features of inflammatory breast cancer (IBC) and to assess the value of DCE-MRI for the prediction of pathological complete response (pCR). Methods: Image analysis was performed in 15 patients with IBC (cT4d) and 12 patients with non-IBC (cT2), and included the assessment of BIRADS characteristics, skin alterations, enhancement characteristics, and changes post chemotherapy. Sensitivity and specificity of DCE-MRI for the presence of residual disease were obtained. Pearson's correlation coefficients were calculated comparing the (preoperative) tumor size with the histological size. Results: Skin thickening/enhancement (80%) and non-mass-like enhancement (66.7%) occurred more often in IBC (16.7 vs. 8.3% in non-IBC). In 2 of 3 cases of IBC, pCR was correctly predicted (sensitivity 92%, specificity 67%), compared to 3 of 5 cases in non-IBC (sensitivity 86%, specificity 40%). Lower peak enhancement might be associated with a higher likelihood of pCR in IBC. No other parameters predicted eventual pCR. In IBC, no correlation between preoperative tumor size and histological size was found (r = 0.22, p = 0.50), whereas in non-IBC, size estimations were more accurate (r = 0.75, p = 0.03). Conclusion: IBC is characterized on MRI by skin changes and non-mass-like enhancement. Radiological complete response seems indicative of pCR in IBC and non-IBC. Size estimation of residual disease in IBC appears to be inaccurate.

scholarly journals Breast cancer and background parenchymal enhancement at breast magnetic resonance imaging: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Na Hu ◽  
Jinghao Zhao ◽  
Yong Li ◽  
Quanshui Fu ◽  
Linwei Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Magnetic Resonance Imaging ◽  
Meta Analysis ◽  
Resonance Imaging ◽  
High Background ◽  
Background Parenchymal Enhancement ◽  
Breast Magnetic Resonance ◽  
Parenchymal Enhancement

Abstract Background The background parenchymal enhancement at breast magnetic resonance imaging use to predict breast cancer attracts many searchers to draw a possible relationship. However, the results of their relationships were conflicting. This meta-analysis was performed to assess breast cancer frequency associations with background parenchymal enhancement. Methods A systematic literature search up to January 2020 was performed to detect studies recording associations between breast cancer frequency and background parenchymal enhancement. We found thirteen studies including 13,788 women at the start with 4046 breast cancer. We calculated the odds ratio (OR) and the 95% confidence intervals (CIs) between breast cancer frequency and background parenchymal enhancement by the dichotomous technique with a random or fixed-effect model. Results Women with minimal or mild background parenchymal enhancement at breast magnetic resonance imaging did not have any risk of breast cancer compared to control women (OR, 1.20; 95% CI 0.54–2.67). However, high background parenchymal enhancement at breast magnetic resonance imaging (OR, 2.66; 95% CI 1.36–5.19) and moderate (OR, 2.51; 95% CI 1.49–4.21) was associated with a significantly higher rate of breast cancer frequency compared to control women. Conclusions Our meta-analysis showed that the women with high and moderate background parenchymal enhancement at breast magnetic resonance imaging have higher risks, up to 2.66 fold, of breast cancer. We suggest that women with high or moderate background parenchymal enhancement at breast magnetic resonance imaging to be scheduled for more frequent follow-up and screening for breast cancer to avoid any complications.

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