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Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography
CESM is an emerging digital mammography technology with a high breast cancer detection and a limited diagnostic specificity. In order to improve specificity, we quantitatively assessed enhancement intensity of breast lesions with different pathological types and hormonal receptor status and evaluate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299980/ https://www.ncbi.nlm.nih.gov/pubmed/32555338 http://dx.doi.org/10.1038/s41598-020-66501-z |
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author | Liu, Ying Zhao, Shuang Huang, Juan Zhang, Xueqin Qin, Yun Zhong, Huanhuan Yu, Jianqun |
author_facet | Liu, Ying Zhao, Shuang Huang, Juan Zhang, Xueqin Qin, Yun Zhong, Huanhuan Yu, Jianqun |
author_sort | Liu, Ying |
collection | PubMed |
description | CESM is an emerging digital mammography technology with a high breast cancer detection and a limited diagnostic specificity. In order to improve specificity, we quantitatively assessed enhancement intensity of breast lesions with different pathological types and hormonal receptor status and evaluated the consistency of enhancement patterns between CESM and DCE-MRI. A total of 145 lesions were enrolled, consisting of 43 malignant (17 non-infiltrating cancers and 26 infiltrating cancers) and 99 benign lesions. The diagnostic performance of enhancement intensity in the former positions was significantly higher than that in the latter positions (AUC: 0.834 vs. 0.755, p = 0.0008). Infiltrating cancers showed the highest enhancement intensity, while benign lesions the lowest (mean CNR(1): 7.6% vs. 2.7%; median CNR(1): 6.8% vs. 2.7%). Enhancement intensity of ER or PR positive group was weaker than negative group, while HER-2 positive group was stronger than negative group. 28 patients with 28 lesions performed both CESM and DCE-MRI examinations, showing a coincidence rate of 64.2% and moderate agreement (k = 0.515) between CESM and DCE-MRI. In conclusion, quantitative analysis of enhancement characteristics is feasible to the diagnosis practice on CESM. |
format | Online Article Text |
id | pubmed-7299980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72999802020-06-18 Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography Liu, Ying Zhao, Shuang Huang, Juan Zhang, Xueqin Qin, Yun Zhong, Huanhuan Yu, Jianqun Sci Rep Article CESM is an emerging digital mammography technology with a high breast cancer detection and a limited diagnostic specificity. In order to improve specificity, we quantitatively assessed enhancement intensity of breast lesions with different pathological types and hormonal receptor status and evaluated the consistency of enhancement patterns between CESM and DCE-MRI. A total of 145 lesions were enrolled, consisting of 43 malignant (17 non-infiltrating cancers and 26 infiltrating cancers) and 99 benign lesions. The diagnostic performance of enhancement intensity in the former positions was significantly higher than that in the latter positions (AUC: 0.834 vs. 0.755, p = 0.0008). Infiltrating cancers showed the highest enhancement intensity, while benign lesions the lowest (mean CNR(1): 7.6% vs. 2.7%; median CNR(1): 6.8% vs. 2.7%). Enhancement intensity of ER or PR positive group was weaker than negative group, while HER-2 positive group was stronger than negative group. 28 patients with 28 lesions performed both CESM and DCE-MRI examinations, showing a coincidence rate of 64.2% and moderate agreement (k = 0.515) between CESM and DCE-MRI. In conclusion, quantitative analysis of enhancement characteristics is feasible to the diagnosis practice on CESM. Nature Publishing Group UK 2020-06-17 /pmc/articles/PMC7299980/ /pubmed/32555338 http://dx.doi.org/10.1038/s41598-020-66501-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Ying Zhao, Shuang Huang, Juan Zhang, Xueqin Qin, Yun Zhong, Huanhuan Yu, Jianqun Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title | Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title_full | Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title_fullStr | Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title_full_unstemmed | Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title_short | Quantitative Analysis of Enhancement Intensity and Patterns on Contrast-enhanced Spectral Mammography |
title_sort | quantitative analysis of enhancement intensity and patterns on contrast-enhanced spectral mammography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299980/ https://www.ncbi.nlm.nih.gov/pubmed/32555338 http://dx.doi.org/10.1038/s41598-020-66501-z |
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