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Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer
Breast cancer is the most commonly diagnosed cancer among women worldwide, and early detection remains a principal factor for improved patient outcomes and reduced mortality. Clinically, magnetic resonance imaging (MRI) techniques are routinely used in determining benign and malignant tumor phenotyp...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235971/ https://www.ncbi.nlm.nih.gov/pubmed/32478083 http://dx.doi.org/10.3389/fmed.2020.00175 |
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author | Chhetri, Apekshya Li, Xin Rispoli, Joseph V. |
author_facet | Chhetri, Apekshya Li, Xin Rispoli, Joseph V. |
author_sort | Chhetri, Apekshya |
collection | PubMed |
description | Breast cancer is the most commonly diagnosed cancer among women worldwide, and early detection remains a principal factor for improved patient outcomes and reduced mortality. Clinically, magnetic resonance imaging (MRI) techniques are routinely used in determining benign and malignant tumor phenotypes and for monitoring treatment outcomes. Static MRI techniques enable superior structural contrast between adipose and fibroglandular tissues, while dynamic MRI techniques can elucidate functional characteristics of malignant tumors. The preferred clinical procedure—dynamic contrast-enhanced MRI—illuminates the hypervascularity of breast tumors through a gadolinium-based contrast agent; however, accumulation of the potentially toxic contrast agent remains a major limitation of the technique, propelling MRI research toward finding an alternative, noninvasive method. Three such techniques are magnetic resonance spectroscopy, chemical exchange saturation transfer, and non-contrast diffusion weighted imaging. These methods shed light on underlying chemical composition, provide snapshots of tissue metabolism, and more pronouncedly characterize microstructural heterogeneity. This review article outlines the present state of clinical MRI for breast cancer and examines several research techniques that demonstrate capacity for clinical translation. Ultimately, multi-parametric MRI—incorporating one or more of these emerging methods—presently holds the best potential to afford improved specificity and deliver excellent accuracy to clinics for the prediction, detection, and monitoring of breast cancer. |
format | Online Article Text |
id | pubmed-7235971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72359712020-05-29 Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer Chhetri, Apekshya Li, Xin Rispoli, Joseph V. Front Med (Lausanne) Medicine Breast cancer is the most commonly diagnosed cancer among women worldwide, and early detection remains a principal factor for improved patient outcomes and reduced mortality. Clinically, magnetic resonance imaging (MRI) techniques are routinely used in determining benign and malignant tumor phenotypes and for monitoring treatment outcomes. Static MRI techniques enable superior structural contrast between adipose and fibroglandular tissues, while dynamic MRI techniques can elucidate functional characteristics of malignant tumors. The preferred clinical procedure—dynamic contrast-enhanced MRI—illuminates the hypervascularity of breast tumors through a gadolinium-based contrast agent; however, accumulation of the potentially toxic contrast agent remains a major limitation of the technique, propelling MRI research toward finding an alternative, noninvasive method. Three such techniques are magnetic resonance spectroscopy, chemical exchange saturation transfer, and non-contrast diffusion weighted imaging. These methods shed light on underlying chemical composition, provide snapshots of tissue metabolism, and more pronouncedly characterize microstructural heterogeneity. This review article outlines the present state of clinical MRI for breast cancer and examines several research techniques that demonstrate capacity for clinical translation. Ultimately, multi-parametric MRI—incorporating one or more of these emerging methods—presently holds the best potential to afford improved specificity and deliver excellent accuracy to clinics for the prediction, detection, and monitoring of breast cancer. Frontiers Media S.A. 2020-05-12 /pmc/articles/PMC7235971/ /pubmed/32478083 http://dx.doi.org/10.3389/fmed.2020.00175 Text en Copyright © 2020 Chhetri, Li and Rispoli. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Chhetri, Apekshya Li, Xin Rispoli, Joseph V. Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title | Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title_full | Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title_fullStr | Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title_full_unstemmed | Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title_short | Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer |
title_sort | current and emerging magnetic resonance-based techniques for breast cancer |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235971/ https://www.ncbi.nlm.nih.gov/pubmed/32478083 http://dx.doi.org/10.3389/fmed.2020.00175 |
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