Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer

Abstract Breast tissue heterogeneity is related to risk factors that lead to more aggressive tumour growth and worse prognosis, yet such heterogeneity has not been well characterized. The aim of this study is to reveal the heterogeneous signal patterns of the apparent diffusion coefficient (ADC) of...

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Autores principales:	Ming Fan, Ting He, Peng Zhang, Juan Zhang, Lihua Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/08ad0f6722b3474585964108b0ee50dd
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spelling	oai:doaj.org-article:08ad0f6722b3474585964108b0ee50dd2021-12-02T15:05:22ZHeterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer10.1038/s41598-017-03122-z2045-2322https://doaj.org/article/08ad0f6722b3474585964108b0ee50dd2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03122-zhttps://doaj.org/toc/2045-2322Abstract Breast tissue heterogeneity is related to risk factors that lead to more aggressive tumour growth and worse prognosis, yet such heterogeneity has not been well characterized. The aim of this study is to reveal the heterogeneous signal patterns of the apparent diffusion coefficient (ADC) of a tumour and its surrounding stromal tissue and to predict the Ki-67 proliferation status in oestrogen receptor (ER)-positive breast cancer patients. A dataset of 82 patients who underwent diffusion-weighted imaging (DWI) examination was collected. The ADC map was segmented into regions comprising the tumour and the surrounding stromal shells. To reflect correlations between each region in terms of its mean ADC value, a functional graph was constructed consisting of nodes as regions and edges as interactions between two nodes. Analysis of the graph revealed a higher average degree in samples over-expressing Ki-67 than in samples with low Ki-67 expression. In the low-Ki-67 group, most of the identified edges represented correlations between adjacent regions, whereas additional edges representing correlations between non-adjacent regions were found in the high-Ki-67 group. The ADC signal in various breast stromal regions surrounding the tumour showed a discriminative pattern and would be valuable for estimating the Ki-67 proliferation status by DWI.Ming FanTing HePeng ZhangJuan ZhangLihua LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ming Fan Ting He Peng Zhang Juan Zhang Lihua Li Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
description	Abstract Breast tissue heterogeneity is related to risk factors that lead to more aggressive tumour growth and worse prognosis, yet such heterogeneity has not been well characterized. The aim of this study is to reveal the heterogeneous signal patterns of the apparent diffusion coefficient (ADC) of a tumour and its surrounding stromal tissue and to predict the Ki-67 proliferation status in oestrogen receptor (ER)-positive breast cancer patients. A dataset of 82 patients who underwent diffusion-weighted imaging (DWI) examination was collected. The ADC map was segmented into regions comprising the tumour and the surrounding stromal shells. To reflect correlations between each region in terms of its mean ADC value, a functional graph was constructed consisting of nodes as regions and edges as interactions between two nodes. Analysis of the graph revealed a higher average degree in samples over-expressing Ki-67 than in samples with low Ki-67 expression. In the low-Ki-67 group, most of the identified edges represented correlations between adjacent regions, whereas additional edges representing correlations between non-adjacent regions were found in the high-Ki-67 group. The ADC signal in various breast stromal regions surrounding the tumour showed a discriminative pattern and would be valuable for estimating the Ki-67 proliferation status by DWI.
format	article
author	Ming Fan Ting He Peng Zhang Juan Zhang Lihua Li
author_facet	Ming Fan Ting He Peng Zhang Juan Zhang Lihua Li
author_sort	Ming Fan
title	Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
title_short	Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
title_full	Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
title_fullStr	Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
title_full_unstemmed	Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer
title_sort	heterogeneity of diffusion-weighted imaging in tumours and the surrounding stroma for prediction of ki-67 proliferation status in breast cancer
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/08ad0f6722b3474585964108b0ee50dd
work_keys_str_mv	AT mingfan heterogeneityofdiffusionweightedimagingintumoursandthesurroundingstromaforpredictionofki67proliferationstatusinbreastcancer AT tinghe heterogeneityofdiffusionweightedimagingintumoursandthesurroundingstromaforpredictionofki67proliferationstatusinbreastcancer AT pengzhang heterogeneityofdiffusionweightedimagingintumoursandthesurroundingstromaforpredictionofki67proliferationstatusinbreastcancer AT juanzhang heterogeneityofdiffusionweightedimagingintumoursandthesurroundingstromaforpredictionofki67proliferationstatusinbreastcancer AT lihuali heterogeneityofdiffusionweightedimagingintumoursandthesurroundingstromaforpredictionofki67proliferationstatusinbreastcancer
_version_	1718388811318165504

Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer

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