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Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis
Hypoxia in the tumor microenvironment is the leading factor in angiogenesis. Angiogenesis can be identified by dynamic contrast-enhanced breast MRI (DCE MRI). Here we investigate the relationship between perfusion parameters on DCE MRI and angiogenic and prognostic factors in patients with invasive...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201289/ https://www.ncbi.nlm.nih.gov/pubmed/28036342 http://dx.doi.org/10.1371/journal.pone.0168632 |
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author | Kim, Sung Hun Lee, Hyeon Sil Kang, Bong Joo Song, Byung Joo Kim, Hyun-Bin Lee, Hyunyong Jin, Min-Sun Lee, Ahwon |
author_facet | Kim, Sung Hun Lee, Hyeon Sil Kang, Bong Joo Song, Byung Joo Kim, Hyun-Bin Lee, Hyunyong Jin, Min-Sun Lee, Ahwon |
author_sort | Kim, Sung Hun |
collection | PubMed |
description | Hypoxia in the tumor microenvironment is the leading factor in angiogenesis. Angiogenesis can be identified by dynamic contrast-enhanced breast MRI (DCE MRI). Here we investigate the relationship between perfusion parameters on DCE MRI and angiogenic and prognostic factors in patients with invasive ductal carcinoma (IDC). Perfusion parameters (K(trans), k(ep) and v(e)) of 81 IDC were obtained using histogram analysis. Twenty-fifth, 50th and 75th percentile values were calculated and were analyzed for association with microvessel density (MVD), vascular endothelial growth factor (VEGF) and conventional prognostic factors. Correlation between MVD and v(e50) was positive (r = 0.33). K(trans)(50) was higher in tumors larger than 2 cm than in tumors smaller than 2 cm. In multivariate analysis, K(trans)(50) was affected by tumor size and MVD with 12.8% explanation. There was significant association between K(trans)(50) and tumor size and MVD. Therefore we conclude that DCE MRI perfusion parameters are potential imaging biomarkers for prediction of tumor angiogenesis and aggressiveness. |
format | Online Article Text |
id | pubmed-5201289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52012892017-01-19 Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis Kim, Sung Hun Lee, Hyeon Sil Kang, Bong Joo Song, Byung Joo Kim, Hyun-Bin Lee, Hyunyong Jin, Min-Sun Lee, Ahwon PLoS One Research Article Hypoxia in the tumor microenvironment is the leading factor in angiogenesis. Angiogenesis can be identified by dynamic contrast-enhanced breast MRI (DCE MRI). Here we investigate the relationship between perfusion parameters on DCE MRI and angiogenic and prognostic factors in patients with invasive ductal carcinoma (IDC). Perfusion parameters (K(trans), k(ep) and v(e)) of 81 IDC were obtained using histogram analysis. Twenty-fifth, 50th and 75th percentile values were calculated and were analyzed for association with microvessel density (MVD), vascular endothelial growth factor (VEGF) and conventional prognostic factors. Correlation between MVD and v(e50) was positive (r = 0.33). K(trans)(50) was higher in tumors larger than 2 cm than in tumors smaller than 2 cm. In multivariate analysis, K(trans)(50) was affected by tumor size and MVD with 12.8% explanation. There was significant association between K(trans)(50) and tumor size and MVD. Therefore we conclude that DCE MRI perfusion parameters are potential imaging biomarkers for prediction of tumor angiogenesis and aggressiveness. Public Library of Science 2016-12-30 /pmc/articles/PMC5201289/ /pubmed/28036342 http://dx.doi.org/10.1371/journal.pone.0168632 Text en © 2016 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Sung Hun Lee, Hyeon Sil Kang, Bong Joo Song, Byung Joo Kim, Hyun-Bin Lee, Hyunyong Jin, Min-Sun Lee, Ahwon Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title | Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title_full | Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title_fullStr | Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title_full_unstemmed | Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title_short | Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis |
title_sort | dynamic contrast-enhanced mri perfusion parameters as imaging biomarkers of angiogenesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201289/ https://www.ncbi.nlm.nih.gov/pubmed/28036342 http://dx.doi.org/10.1371/journal.pone.0168632 |
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