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Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients
BACKGROUND: China has an increasing burden of breast cancer. However, with a large population of dense breast patients, the diagnostic efficiency of conventional digital mammography is attenuated. METHODS: From July 2017 to October 2018, we retrospectively reviewed 397 dense breast patients who unde...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163102/ https://www.ncbi.nlm.nih.gov/pubmed/32074407 http://dx.doi.org/10.1002/cam4.2877 |
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author | Qin, Yun Liu, Ying Zhang, Xueqin Zhao, Shuang Zhong, Huanhuan Huang, Juan Yu, Jianqun |
author_facet | Qin, Yun Liu, Ying Zhang, Xueqin Zhao, Shuang Zhong, Huanhuan Huang, Juan Yu, Jianqun |
author_sort | Qin, Yun |
collection | PubMed |
description | BACKGROUND: China has an increasing burden of breast cancer. However, with a large population of dense breast patients, the diagnostic efficiency of conventional digital mammography is attenuated. METHODS: From July 2017 to October 2018, we retrospectively reviewed 397 dense breast patients who underwent contrast‐enhanced spectral mammography (CESM) in West China Hospital. Among them, 53 patients who had both CESM and dynamic contrast enhanced magnetic resonance imaging (DCE‐MRI) results and 114 patients who had pathological diagnoses were finally enrolled. All images were reviewed by two independent radiologists according to the 2013 Breast Imaging Reporting and Data System (BI‐RADS) with all disagreements handed to an associate professor for final decisions. Correlation analyses between CESM and DCE‐MRI were conducted. The diagnostic performance of CESM were investigated. RESULTS: The kappa value of the BI‐RADS scores between CESM and DCE‐MRI was 0.607 (P < .001), indicating high correspondence between CESM and DCE‐MRI. As for lesion size measurement, moderate correlation (Kendall's tau coefficient: 0.556, P < .001) was detected between CESM and DCE‐MRI. Using pathological diagnoses as the reference standard, the sensitivity, specificity, and area under the curve (AUC) of CESM were 82.4%, 96.4%, and 0.894, respectively. CONCLUSION: CESM demonstrated excellent overall diagnostic accuracy and a moderate correlation in lesion size estimation against DCE‐MRI in dense breast patients, supporting it to be an alternative to DCE‐MRI in breast cancer detection and diagnosis, especially for exclusion diagnosis. |
format | Online Article Text |
id | pubmed-7163102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71631022020-04-20 Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients Qin, Yun Liu, Ying Zhang, Xueqin Zhao, Shuang Zhong, Huanhuan Huang, Juan Yu, Jianqun Cancer Med Clinical Cancer Research BACKGROUND: China has an increasing burden of breast cancer. However, with a large population of dense breast patients, the diagnostic efficiency of conventional digital mammography is attenuated. METHODS: From July 2017 to October 2018, we retrospectively reviewed 397 dense breast patients who underwent contrast‐enhanced spectral mammography (CESM) in West China Hospital. Among them, 53 patients who had both CESM and dynamic contrast enhanced magnetic resonance imaging (DCE‐MRI) results and 114 patients who had pathological diagnoses were finally enrolled. All images were reviewed by two independent radiologists according to the 2013 Breast Imaging Reporting and Data System (BI‐RADS) with all disagreements handed to an associate professor for final decisions. Correlation analyses between CESM and DCE‐MRI were conducted. The diagnostic performance of CESM were investigated. RESULTS: The kappa value of the BI‐RADS scores between CESM and DCE‐MRI was 0.607 (P < .001), indicating high correspondence between CESM and DCE‐MRI. As for lesion size measurement, moderate correlation (Kendall's tau coefficient: 0.556, P < .001) was detected between CESM and DCE‐MRI. Using pathological diagnoses as the reference standard, the sensitivity, specificity, and area under the curve (AUC) of CESM were 82.4%, 96.4%, and 0.894, respectively. CONCLUSION: CESM demonstrated excellent overall diagnostic accuracy and a moderate correlation in lesion size estimation against DCE‐MRI in dense breast patients, supporting it to be an alternative to DCE‐MRI in breast cancer detection and diagnosis, especially for exclusion diagnosis. John Wiley and Sons Inc. 2020-02-19 /pmc/articles/PMC7163102/ /pubmed/32074407 http://dx.doi.org/10.1002/cam4.2877 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Qin, Yun Liu, Ying Zhang, Xueqin Zhao, Shuang Zhong, Huanhuan Huang, Juan Yu, Jianqun Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title | Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title_full | Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title_fullStr | Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title_full_unstemmed | Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title_short | Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients |
title_sort | contrast‐enhanced spectral mammography: a potential exclusion diagnosis modality in dense breast patients |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163102/ https://www.ncbi.nlm.nih.gov/pubmed/32074407 http://dx.doi.org/10.1002/cam4.2877 |
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