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Value of digital mammography in predicting lymphovascular invasion of breast cancer
BACKGROUND: Lymphovascular invasion (LVI) has never been revealed by preoperative scans. It is necessary to use digital mammography in predicting LVI in patients with breast cancer preoperatively. METHODS: Overall 122 cases of invasive ductal carcinoma diagnosed between May 2017 and September 2018 w...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119272/ https://www.ncbi.nlm.nih.gov/pubmed/32245448 http://dx.doi.org/10.1186/s12885-020-6712-z |
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author | Liu, Zhuangsheng Li, Ruqiong Liang, Keming Chen, Junhao Chen, Xiangmeng Li, Xiaoping Li, Ronggang Zhang, Xin Yi, Lilei Long, Wansheng |
author_facet | Liu, Zhuangsheng Li, Ruqiong Liang, Keming Chen, Junhao Chen, Xiangmeng Li, Xiaoping Li, Ronggang Zhang, Xin Yi, Lilei Long, Wansheng |
author_sort | Liu, Zhuangsheng |
collection | PubMed |
description | BACKGROUND: Lymphovascular invasion (LVI) has never been revealed by preoperative scans. It is necessary to use digital mammography in predicting LVI in patients with breast cancer preoperatively. METHODS: Overall 122 cases of invasive ductal carcinoma diagnosed between May 2017 and September 2018 were enrolled and assigned into the LVI positive group (n = 42) and the LVI negative group (n = 80). Independent t-test and χ2 test were performed. RESULTS: Difference in Ki-67 between the two groups was statistically significant (P = 0.012). Differences in interstitial edema (P = 0.013) and skin thickening (P = 0.000) were statistically significant between the two groups. Multiple factor analysis showed that there were three independent risk factors for LVI: interstitial edema (odds ratio [OR] = 12.610; 95% confidence interval [CI]: 1.061–149.922; P = 0.045), blurring of subcutaneous fat (OR = 0.081; 95% CI: 0.012–0.645; P = 0.017) and skin thickening (OR = 9.041; 95% CI: 2.553–32.022; P = 0.001). CONCLUSIONS: Interstitial edema, blurring of subcutaneous fat, and skin thickening are independent risk factors for LVI. The specificity of LVI prediction is as high as 98.8% when the three are used together. |
format | Online Article Text |
id | pubmed-7119272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71192722020-04-07 Value of digital mammography in predicting lymphovascular invasion of breast cancer Liu, Zhuangsheng Li, Ruqiong Liang, Keming Chen, Junhao Chen, Xiangmeng Li, Xiaoping Li, Ronggang Zhang, Xin Yi, Lilei Long, Wansheng BMC Cancer Research Article BACKGROUND: Lymphovascular invasion (LVI) has never been revealed by preoperative scans. It is necessary to use digital mammography in predicting LVI in patients with breast cancer preoperatively. METHODS: Overall 122 cases of invasive ductal carcinoma diagnosed between May 2017 and September 2018 were enrolled and assigned into the LVI positive group (n = 42) and the LVI negative group (n = 80). Independent t-test and χ2 test were performed. RESULTS: Difference in Ki-67 between the two groups was statistically significant (P = 0.012). Differences in interstitial edema (P = 0.013) and skin thickening (P = 0.000) were statistically significant between the two groups. Multiple factor analysis showed that there were three independent risk factors for LVI: interstitial edema (odds ratio [OR] = 12.610; 95% confidence interval [CI]: 1.061–149.922; P = 0.045), blurring of subcutaneous fat (OR = 0.081; 95% CI: 0.012–0.645; P = 0.017) and skin thickening (OR = 9.041; 95% CI: 2.553–32.022; P = 0.001). CONCLUSIONS: Interstitial edema, blurring of subcutaneous fat, and skin thickening are independent risk factors for LVI. The specificity of LVI prediction is as high as 98.8% when the three are used together. BioMed Central 2020-04-03 /pmc/articles/PMC7119272/ /pubmed/32245448 http://dx.doi.org/10.1186/s12885-020-6712-z Text en © The Author(s). 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Zhuangsheng Li, Ruqiong Liang, Keming Chen, Junhao Chen, Xiangmeng Li, Xiaoping Li, Ronggang Zhang, Xin Yi, Lilei Long, Wansheng Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title | Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title_full | Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title_fullStr | Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title_full_unstemmed | Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title_short | Value of digital mammography in predicting lymphovascular invasion of breast cancer |
title_sort | value of digital mammography in predicting lymphovascular invasion of breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119272/ https://www.ncbi.nlm.nih.gov/pubmed/32245448 http://dx.doi.org/10.1186/s12885-020-6712-z |
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