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Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer

PURPOSE: To investigate the correlation between the contrast-enhanced mammography (CEM) imaging characteristics and different molecular subtypes of breast cancer (BC). METHODS: We retrospectively included 313 eligible female patients who underwent CEM examination and surgery in our hospital from Jul...

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Autores principales: Li, Na, Gong, Weiyun, Xie, Yuanzhong, Sheng, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661457/
https://www.ncbi.nlm.nih.gov/pubmed/37925875
http://dx.doi.org/10.1016/j.breast.2023.103595
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author Li, Na
Gong, Weiyun
Xie, Yuanzhong
Sheng, Lei
author_facet Li, Na
Gong, Weiyun
Xie, Yuanzhong
Sheng, Lei
author_sort Li, Na
collection PubMed
description PURPOSE: To investigate the correlation between the contrast-enhanced mammography (CEM) imaging characteristics and different molecular subtypes of breast cancer (BC). METHODS: We retrospectively included 313 eligible female patients who underwent CEM examination and surgery in our hospital from July 2017 to July 2021. Their lesions were confirmed on histopathological examination and immunohistochemical analysis. BC was divided into luminal A, luminal B, HER2-enriched, and triple-negative BC (TNBC) subtypes according to immunohistochemical markers. Nine features were extracted from CEM images, including tumor shape, margins, spiculated mass, lobulated mass, malignant calcification, lesion conspicuity, internal enhancement pattern, multifocal mass, and swollen axillary lymph nodes. Statistical analysis was performed using SPSS 25.0. Univariate analysis and binomial regression were used to analyze the correlation between CEM imaging features and BC molecular subtypes. RESULTS: There were 184 (58.8 %) Luminal A, 44 (14.1 %) Luminal B, 47 (15.0 %) HER-2-enriched and 38 (12.1 %) TNBC, respectively. Molecular subtypes were significantly related to the tumor shape, margins, spiculated mass, internal enhancement pattern, malignant calcification and swollen axillary lymph nodes. Spiculated and calcified tumors were associated with Luminal subtypes, especially Luminal B (P < 0.05). Irregular tumor shape and malignant calcification were associated with HER-2-enriched subtype (P < 0.05). Oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes were associated with TNBC (P < 0.05). CONCLUSION: CEM imaging features could distinguish BC molecular subtypes. In particular, TNBC showed oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes, providing insights into the diagnosis and prognosis of TNBC.
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spelling pubmed-106614572023-10-31 Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer Li, Na Gong, Weiyun Xie, Yuanzhong Sheng, Lei Breast Original Article PURPOSE: To investigate the correlation between the contrast-enhanced mammography (CEM) imaging characteristics and different molecular subtypes of breast cancer (BC). METHODS: We retrospectively included 313 eligible female patients who underwent CEM examination and surgery in our hospital from July 2017 to July 2021. Their lesions were confirmed on histopathological examination and immunohistochemical analysis. BC was divided into luminal A, luminal B, HER2-enriched, and triple-negative BC (TNBC) subtypes according to immunohistochemical markers. Nine features were extracted from CEM images, including tumor shape, margins, spiculated mass, lobulated mass, malignant calcification, lesion conspicuity, internal enhancement pattern, multifocal mass, and swollen axillary lymph nodes. Statistical analysis was performed using SPSS 25.0. Univariate analysis and binomial regression were used to analyze the correlation between CEM imaging features and BC molecular subtypes. RESULTS: There were 184 (58.8 %) Luminal A, 44 (14.1 %) Luminal B, 47 (15.0 %) HER-2-enriched and 38 (12.1 %) TNBC, respectively. Molecular subtypes were significantly related to the tumor shape, margins, spiculated mass, internal enhancement pattern, malignant calcification and swollen axillary lymph nodes. Spiculated and calcified tumors were associated with Luminal subtypes, especially Luminal B (P < 0.05). Irregular tumor shape and malignant calcification were associated with HER-2-enriched subtype (P < 0.05). Oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes were associated with TNBC (P < 0.05). CONCLUSION: CEM imaging features could distinguish BC molecular subtypes. In particular, TNBC showed oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes, providing insights into the diagnosis and prognosis of TNBC. Elsevier 2023-10-31 /pmc/articles/PMC10661457/ /pubmed/37925875 http://dx.doi.org/10.1016/j.breast.2023.103595 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Li, Na
Gong, Weiyun
Xie, Yuanzhong
Sheng, Lei
Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title_full Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title_fullStr Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title_full_unstemmed Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title_short Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer
title_sort correlation between the cem imaging characteristics and different molecular subtypes of breast cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661457/
https://www.ncbi.nlm.nih.gov/pubmed/37925875
http://dx.doi.org/10.1016/j.breast.2023.103595
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