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Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364989/ https://www.ncbi.nlm.nih.gov/pubmed/37492179 http://dx.doi.org/10.3389/fradi.2021.735567 |
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author | Frankhouser, David E. Dietze, Eric Mahabal, Ashish Seewaldt, Victoria L. |
author_facet | Frankhouser, David E. Dietze, Eric Mahabal, Ashish Seewaldt, Victoria L. |
author_sort | Frankhouser, David E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10364989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103649892023-07-25 Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Frankhouser, David E. Dietze, Eric Mahabal, Ashish Seewaldt, Victoria L. Front Radiol Radiology 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. Frontiers Media S.A. 2021-12-09 /pmc/articles/PMC10364989/ /pubmed/37492179 http://dx.doi.org/10.3389/fradi.2021.735567 Text en Copyright © 2021 Frankhouser, Dietze, Mahabal and Seewaldt. https://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 | Radiology Frankhouser, David E. Dietze, Eric Mahabal, Ashish Seewaldt, Victoria L. Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title | Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title_full | Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title_fullStr | Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title_full_unstemmed | Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title_short | Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging |
title_sort | vascularity and dynamic contrast-enhanced breast magnetic resonance imaging |
topic | Radiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364989/ https://www.ncbi.nlm.nih.gov/pubmed/37492179 http://dx.doi.org/10.3389/fradi.2021.735567 |
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