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基于拉曼光谱映射观察到的小鼠模型中辐射反应异质性的 Haralick 纹理特征分析。

Haralick texture feature analysis for quantifying radiation response heterogeneity in murine models observed using Raman spectroscopic mapping.

机构信息

The Department of Statistics, University of British Columbia Okanagan Campus, Kelowna, BC, Canada.

The Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada.

出版信息

PLoS One. 2019 Feb 15;14(2):e0212225. doi: 10.1371/journal.pone.0212225. eCollection 2019.

DOI:10.1371/journal.pone.0212225
PMID:30768630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6377107/
Abstract

Tumour heterogeneity plays a large role in the response of tumour tissues to radiation therapy. Inherent biological, physical, and even dose deposition heterogeneity all play a role in the resultant observed response. We here implement the use of Haralick textural analysis to quantify the observed glycogen production response, as observed via Raman spectroscopic mapping, of tumours irradiated within a murine model. While an array of over 20 Haralick features have been proposed, we here concentrate on five of the most prominent features: homogeneity, local homogeneity, contrast, entropy, and correlation. We show that these Haralick features can be used to quantify the inherent heterogeneity of the Raman spectroscopic maps of tumour response to radiation. Furthermore, our results indicate that Haralick-calculated textural features show a statistically significant dose dependent variation in response heterogeneity, specifically, in glycogen production in tumours irradiated with clinically relevant doses of ionizing radiation. These results indicate that Haralick textural analysis provides a quantitative methodology for understanding the response of murine tumours to radiation therapy. Future work in this area can, for example, utilize the Haralick textural features for understanding the heterogeneity of radiation response as measured by biopsied patient tumour samples, which remains the standard of patient tumour investigation.

摘要

肿瘤异质性在肿瘤组织对放射治疗的反应中起着重要作用。固有的生物学、物理学,甚至剂量沉积异质性都在观察到的反应中发挥作用。我们在这里实施使用 Haralick 纹理分析来量化通过拉曼光谱映射观察到的肿瘤在小鼠模型中照射后的糖原产生反应。虽然已经提出了二十多种 Haralick 特征,但我们这里集中讨论五个最突出的特征:同质性、局部同质性、对比度、熵和相关性。我们表明,这些 Haralick 特征可用于量化肿瘤对辐射反应的拉曼光谱图的固有异质性。此外,我们的结果表明,Haralick 计算的纹理特征显示出与剂量相关的反应异质性的统计学显著变化,特别是在接受与临床相关剂量电离辐射照射的肿瘤中糖原的产生。这些结果表明,Haralick 纹理分析为理解小鼠肿瘤对放射治疗的反应提供了一种定量方法。该领域的未来工作可以例如利用 Haralick 纹理特征来理解通过活检患者肿瘤样本测量的放射反应异质性,这仍然是患者肿瘤研究的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/471c005e294d/pone.0212225.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/88d024d9ee0a/pone.0212225.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/fd313c009106/pone.0212225.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/9d6808c19df8/pone.0212225.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/86a7973be2b7/pone.0212225.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/471c005e294d/pone.0212225.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/88d024d9ee0a/pone.0212225.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/fd313c009106/pone.0212225.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/9d6808c19df8/pone.0212225.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/86a7973be2b7/pone.0212225.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e424/6377107/471c005e294d/pone.0212225.g005.jpg

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