Literature DB >> 20494307

Optimizing 1.5-Tesla and 3-Tesla dynamic contrast-enhanced magnetic resonance imaging of the breasts.

Manjil Chatterji1, Cecilia L Mercado, Linda Moy.   

Abstract

The technical requirements for magnetic resonance imaging (MRI) of the breasts are challenging because high temporal and high spatial resolution are necessary. This article describes the necessary equipment and pulse sequences for performing a high-quality study. Although imaging at 3-Tesla (T) has a higher signal-to-noise ratio, the protocol needs to be modified from the 1.5-T system to provide optimal imaging. The article presents the requirements for performing breast MRI and discusses techniques to ensure high-quality examinations on 1.5-T and 3-T systems. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20494307     DOI: 10.1016/j.mric.2010.02.011

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  6 in total

Review 1.  Comparison of magnetic resonance imaging and multidetector computed tomography for evaluating intraductal tumor extension of breast cancer.

Authors:  Takayoshi Uematsu
Journal:  Jpn J Radiol       Date:  2010-10-24       Impact factor: 2.374

2.  3.0 Tesla vs 1.5 Tesla breast magnetic resonance imaging in newly diagnosed breast cancer patients.

Authors:  Reni S Butler; Christine Chen; Reena Vashi; Regina J Hooley; Liane E Philpotts
Journal:  World J Radiol       Date:  2013-08-28

3.  Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study.

Authors:  Shuhai Zhang; Xiaolei Wang; Zhao Yang; Yun Zhu; Nannan Zhao; Yang Li; Jie He; Haitao Sun; Zongyu Xie
Journal:  Front Oncol       Date:  2022-06-24       Impact factor: 5.738

4.  Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI.

Authors:  Xiaoyu Cui; Nian Wang; Yue Zhao; Shuo Chen; Songbai Li; Mingjie Xu; Ruimei Chai
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

5.  Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.

Authors:  Deling Song; Fei Yang; Yujiao Zhang; Yazhe Guo; Yingwu Qu; Xiaochen Zhang; Yuexiang Zhu; Shujun Cui
Journal:  Cancer Imaging       Date:  2022-04-04       Impact factor: 3.909

6.  Tumor Detection at 3 Tesla with an Activatable Cell Penetrating Peptide Dendrimer (ACPPD-Gd), a T1 Magnetic Resonance (MR) Molecular Imaging Agent.

Authors:  Christopher D Malone; Emilia S Olson; Robert F Mattrey; Tao Jiang; Roger Y Tsien; Quyen T Nguyen
Journal:  PLoS One       Date:  2015-09-03       Impact factor: 3.240

  6 in total

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