Literature DB >> 33223002

Magnetic Resonance Imaging in Screening of Breast Cancer.

Yiming Gao1, Beatriu Reig2, Laura Heacock2, Debbie L Bennett3, Samantha L Heller2, Linda Moy4.   

Abstract

Magnetic Resonance (MR) imaging is the most sensitive modality for breast cancer detection but is currently limited to screening women at high risk due to limited specificity and test accessibility. However, specificity of MR imaging improves with successive rounds of screening, and abbreviated approaches have the potential to increase access and decrease cost. There is growing evidence to support supplemental MR imaging in moderate-risk women, and current guidelines continue to evolve. Functional imaging has the potential to maximize survival benefit of screening. Leveraging MR imaging as a possible primary screening tool is therefore also being investigated in average-risk women.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Abbreviated MR imaging; Breast cancer screening; High-risk screening; Magnetic resonance imaging; Supplemental screening

Mesh:

Year:  2020        PMID: 33223002     DOI: 10.1016/j.rcl.2020.09.004

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  7 in total

1.  Research Highlight: Artificial Intelligence for Ruling Out Negative Examinations in Screening Breast MRI.

Authors:  Ji Hyun Youk; Eun-Kyung Kim
Journal:  Korean J Radiol       Date:  2022-02       Impact factor: 3.500

2.  Ultrasound and magnetic resonance imaging of cyclic arginine glycine aspartic acid-gadopentetic acid-polylactic acid in human breast cancer by targeting αvβ3 in xenograft-bearing nude mice.

Authors:  Danhui Fu; Xiangyang Huang; Zheng Lv; Yupeng Zhang; Miao Chen; Wei Zhang; Danke Su
Journal:  Bioengineered       Date:  2022-03       Impact factor: 3.269

3.  Diagnostic Value of 1H NMR-Based Metabolomics in Acute Lymphoblastic Leukemia, Acute Myeloid Leukemia, and Breast Cancer.

Authors:  Hanaa M Morad; Mohamed M Abou-Elzahab; Salah Aref; Ahmed M A El-Sokkary
Journal:  ACS Omega       Date:  2022-02-22

4.  Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance.

Authors:  Isaac Daimiel Naranjo; Peter Gibbs; Jeffrey S Reiner; Roberto Lo Gullo; Sunitha B Thakur; Maxine S Jochelson; Nikita Thakur; Pascal A T Baltzer; Thomas H Helbich; Katja Pinker
Journal:  Cancers (Basel)       Date:  2022-03-29       Impact factor: 6.575

5.  Efficacy Evaluation of Neoadjuvant Chemotherapy in Breast Cancer by MRI.

Authors:  Yongguang Liu; Mingxiang Wu; Wenyong Tan; Jingshan Gong; Jie Ma
Journal:  Contrast Media Mol Imaging       Date:  2022-08-04       Impact factor: 3.009

6.  Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.

Authors:  Isaac Daimiel Naranjo; Peter Gibbs; Jeffrey S Reiner; Roberto Lo Gullo; Caleb Sooknanan; Sunitha B Thakur; Maxine S Jochelson; Varadan Sevilimedu; Elizabeth A Morris; Pascal A T Baltzer; Thomas H Helbich; Katja Pinker
Journal:  Diagnostics (Basel)       Date:  2021-05-21

7.  The hidden breast lesions: A case report of bilateral breast cancer.

Authors:  Chaochao Dai; Lingyun Bao; Yanjuan Tan; Chenxiang Jiang
Journal:  J Clin Ultrasound       Date:  2021-12-25       Impact factor: 0.869

  7 in total

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