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Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer
The aim of the present study was to investigate the association between Ki-67 expression and radiomics features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in patients with invasive breast cancer. A total of 53 cases with low-Ki-67 expression (Ki-67 proliferation index <14%)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144880/ https://www.ncbi.nlm.nih.gov/pubmed/30250576 http://dx.doi.org/10.3892/ol.2018.9271 |
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author | Juan, Ma-Wen Yu, Ji Peng, Guo-Xin Jun, Liu-Jun Feng, Sun-Peng Fang, Liu-Pei |
author_facet | Juan, Ma-Wen Yu, Ji Peng, Guo-Xin Jun, Liu-Jun Feng, Sun-Peng Fang, Liu-Pei |
author_sort | Juan, Ma-Wen |
collection | PubMed |
description | The aim of the present study was to investigate the association between Ki-67 expression and radiomics features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in patients with invasive breast cancer. A total of 53 cases with low-Ki-67 expression (Ki-67 proliferation index <14%) and 106 cases with high-Ki-67 expression (Ki-67 proliferation index >14%) were investigated. A systematic approach was applied that focused on the automated segmentation of lesions and extraction of radiomics features. For each lesion 5 morphology, 4 gray-scale histogram and 6 texture features were obtained, and statistical analyzes were performed to assess the differences in these features between the low- and high-Ki-67 expressions. One morphology metric (area), 3 gray-scale histogram indexes (standard deviation, skewness and kurtosis) and 3 texture features (contrast, homogeneity and inverse differential moment) demonstrated a significant difference (P<0.05), with low-Ki-67 expression lesions tending to be smaller, clearer and heterogeneous when compared with the high-Ki-67 expressed cases. These results may provide a noninvasive means to better understand the proliferation of breast cancer. |
format | Online Article Text |
id | pubmed-6144880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-61448802018-09-24 Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer Juan, Ma-Wen Yu, Ji Peng, Guo-Xin Jun, Liu-Jun Feng, Sun-Peng Fang, Liu-Pei Oncol Lett Articles The aim of the present study was to investigate the association between Ki-67 expression and radiomics features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in patients with invasive breast cancer. A total of 53 cases with low-Ki-67 expression (Ki-67 proliferation index <14%) and 106 cases with high-Ki-67 expression (Ki-67 proliferation index >14%) were investigated. A systematic approach was applied that focused on the automated segmentation of lesions and extraction of radiomics features. For each lesion 5 morphology, 4 gray-scale histogram and 6 texture features were obtained, and statistical analyzes were performed to assess the differences in these features between the low- and high-Ki-67 expressions. One morphology metric (area), 3 gray-scale histogram indexes (standard deviation, skewness and kurtosis) and 3 texture features (contrast, homogeneity and inverse differential moment) demonstrated a significant difference (P<0.05), with low-Ki-67 expression lesions tending to be smaller, clearer and heterogeneous when compared with the high-Ki-67 expressed cases. These results may provide a noninvasive means to better understand the proliferation of breast cancer. D.A. Spandidos 2018-10 2018-08-06 /pmc/articles/PMC6144880/ /pubmed/30250576 http://dx.doi.org/10.3892/ol.2018.9271 Text en Copyright: © Juan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Juan, Ma-Wen Yu, Ji Peng, Guo-Xin Jun, Liu-Jun Feng, Sun-Peng Fang, Liu-Pei Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title | Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title_full | Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title_fullStr | Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title_full_unstemmed | Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title_short | Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer |
title_sort | correlation between dce-mri radiomics features and ki-67 expression in invasive breast cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144880/ https://www.ncbi.nlm.nih.gov/pubmed/30250576 http://dx.doi.org/10.3892/ol.2018.9271 |
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