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

机译:肿瘤和周围基质扩散加权成像的异质性可预测乳腺癌Ki-67增殖状态

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摘要

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.
机译:乳房组织异质性与导致更积极的肿瘤生长和预后不良的危险因素有关,但这种异质性尚未得到很好的表征。这项研究的目的是揭示肿瘤及其周围基质组织的表观扩散系数(ADC)的异构信号模式,并预测雌激素受体(ER)阳性乳腺癌患者的Ki-67增殖状态。收集了接受扩散加​​权成像(DWI)检查的82例患者的数据集。 ADC图被分成包含肿瘤和周围基质壳的区域。为了用平均ADC值反映每个区域之间的相关性,构建了一个功能图,其中包括作为区域的节点和作为两个节点之间的相互作用的边。对该图的分析表明,过表达Ki-67的样品的平均程度要高于低Ki-67表达的样品。在低Ki-67组中,大多数已识别边缘代表相邻区域之间的相关性,而在高Ki-67组中发现了代表非相邻区域之间相关性的其他边缘。肿瘤周围各个乳腺基质区域中的ADC信号显示出判别模式,对于通过DWI评估Ki-67增殖状态将是有价值的。

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