Magnetic Resonance Arterial Spin Tagging for Noninvasive Pharmacokinetic Analysis of Breast Cancer

1998 ◽  
Author(s):  
Michael H. Buonocore
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance ◽  
Pharmacokinetic Analysis ◽  
Spin Tagging

Magnetic Resonance Imaging Features in Triple-Negative Breast Cancer: Comparison With Luminal and HER2-Overexpressing Tumors

2012 ◽  
Vol 12 (5) ◽  
pp. 331-339 ◽  
Author(s):  
Melania Costantini ◽  
Paolo Belli ◽  
Daniela Distefano ◽  
Enida Bufi ◽  
Marialuisa Di Matteo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Imaging Features ◽  
Resonance Imaging

Serial Cardiovascular Magnetic Resonance Strain Measurements to Identify Cardiotoxicity in Breast Cancer

2020 ◽  
Author(s):  
Christian P. Houbois ◽  
Mark Nolan ◽  
Emily Somerset ◽  
Tamar Shalmon ◽  
Maryam Esmaeilzadeh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Strain Measurements

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.

scholarly journals Imaging Lymphatic System in Breast Cancer Patients with Magnetic Resonance Lymphangiography

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69701 ◽  
Author(s):  
Qing Lu ◽  
Jia Hua ◽  
Mohammad M. Kassir ◽  
Zachary Delproposto ◽  
Yongming Dai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance ◽  
Cancer Patients ◽  
Lymphatic System ◽  
Breast Cancer Patients

Magnetic resonance imaging detection and wire localization of an ‘occult’ breast cancer

1994 ◽  
Vol 32 (3) ◽  
pp. 327-330 ◽  
Author(s):  
Peter L. Davis ◽  
Thomas B. Julian ◽  
Melinda Staiger ◽  
Kathleen B. Harris ◽  
Dennis Borochovitz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Wire Localization ◽  
Resonance Imaging ◽  
Occult Breast Cancer ◽  
Imaging Detection
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