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本文引用的文献

1
Prostate cancer metastases alter bone mineral and matrix composition independent of effects on bone architecture in mice--a quantitative study using microCT and Raman spectroscopy.前列腺癌转移改变了小鼠骨骼矿物质和基质组成,而不影响骨骼结构——一项使用 microCT 和拉曼光谱的定量研究。
Bone. 2013 Oct;56(2):454-60. doi: 10.1016/j.bone.2013.07.006. Epub 2013 Jul 15.
2
Polarization control of Raman spectroscopy optimizes the assessment of bone tissue.拉曼光谱的偏振控制优化了骨组织评估。
J Biomed Opt. 2013 May;18(5):55005. doi: 10.1117/1.JBO.18.5.055005.
3
Multichannel diffuse optical Raman tomography for bone characterization in vivo: a phantom study.用于体内骨特征表征的多通道漫射光学拉曼断层扫描:一项体模研究。
Biomed Opt Express. 2012 Sep 1;3(9):2299-305. doi: 10.1364/BOE.3.002299. Epub 2012 Aug 30.
4
Models of bone metastasis.骨转移模型
J Vis Exp. 2012 Sep 4(67):e4260. doi: 10.3791/4260.
5
Age-specific profiles of tissue-level composition and mechanical properties in murine cortical bone.鼠皮质骨组织水平组成和力学性能的年龄特异性特征。
Bone. 2012 Apr;50(4):942-53. doi: 10.1016/j.bone.2011.12.026. Epub 2012 Jan 20.
6
Biomedical tissue phantoms with controlled geometric and optical properties for Raman spectroscopy and tomography.用于拉曼光谱和层析成像的具有可控几何和光学特性的生物医学组织模型。
Analyst. 2011 Nov 7;136(21):4437-46. doi: 10.1039/c1an15429j.
7
Raman assessment of bone quality.骨质量的 Raman 评估。
Clin Orthop Relat Res. 2011 Aug;469(8):2160-9. doi: 10.1007/s11999-010-1692-y.
8
Raman and mechanical properties correlate at whole bone- and tissue-levels in a genetic mouse model.拉曼和力学性能在遗传小鼠模型的整个骨和组织水平上相关。
J Biomech. 2011 Jan 11;44(2):297-303. doi: 10.1016/j.jbiomech.2010.10.009. Epub 2010 Oct 28.
9
Quantitative polarized Raman spectroscopy in highly turbid bone tissue.高浑浊度骨组织的定量偏振拉曼光谱学。
J Biomed Opt. 2010 May-Jun;15(3):037001. doi: 10.1117/1.3426310.
10
Cortical bone composition and orientation as a function of animal and tissue age in mice by Raman spectroscopy.拉曼光谱法研究小鼠的组织和动物年龄对皮质骨成分和方向的影响
Bone. 2010 Aug;47(2):392-9. doi: 10.1016/j.bone.2010.04.608. Epub 2010 May 5.

用于评估乳腺癌转移性骨病的拉曼光谱标志物的开发。

Development of Raman spectral markers to assess metastatic bone in breast cancer.

作者信息

Ding Hao, Nyman Jeffry S, Sterling Julie A, Perrien Daniel S, Mahadevan-Jansen Anita, Bi Xiaohong

机构信息

University of Texas Health Science Center at Houston, Department of Nanomedicine and Biomedical Engineering, 1881 East Road, Houston, Texas 77054.

Tennessee Valley Healthcare System, Department of Veterans Affairs, 1310 24th Avenue South, Nashville, Tennessee 37212cVanderbilt University, Department of Biomedical Engineering, VU Station B#351631, 2301 Vanderbilt Place, Nashville, Tennessee 37235dVand.

出版信息

J Biomed Opt. 2014;19(11):111606. doi: 10.1117/1.JBO.19.11.111606.

DOI:10.1117/1.JBO.19.11.111606
PMID:24933683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4059340/
Abstract

Bone is the most common site for breast cancer metastases. One of the major complications of bone metastasis is pathological bone fracture caused by chronic bone loss and degeneration. Current guidelines for the prediction of pathological fracture mainly rely on radiographs or computed tomography, which are limited in their ability to predict fracture risk. The present study explored the feasibility of using Raman spectroscopy to estimate pathological fracture risk by characterizing the alterations in the compositional properties of metastatic bones. Tibiae with evident bone destruction were investigated using Raman spectroscopy. The carbonation level calculated by the ratio of carbonate/phosphate ν1 significantly increased in the tumor-bearing bone at all the sampling regions at the proximal metaphysis and diaphysis, while tumor-induced elevation in mineralization and crystallinity was more pronounced in the metaphysis. Furthermore, the increased carbonation level is positively correlated to bone lesion size, indicating that this parameter could serve as a unique spectral marker for tumor progression and bone loss. With the promising advances in the development of spatially offset Raman spectroscopy for deep tissue measurement, this spectral marker can potentially be used for future noninvasive evaluation of metastatic bone and prediction of pathological fracture risk.

摘要

骨骼是乳腺癌转移最常见的部位。骨转移的主要并发症之一是由慢性骨质流失和退变引起的病理性骨折。目前预测病理性骨折的指南主要依赖于X线片或计算机断层扫描,其预测骨折风险的能力有限。本研究通过表征转移性骨成分特性的改变,探讨了使用拉曼光谱法评估病理性骨折风险的可行性。使用拉曼光谱法对有明显骨质破坏的胫骨进行了研究。通过碳酸盐/磷酸盐ν1比值计算的碳酸化水平在近端干骺端和骨干所有采样区域的荷瘤骨中均显著升高,而肿瘤诱导的矿化和结晶度升高在干骺端更为明显。此外,碳酸化水平的升高与骨病变大小呈正相关,表明该参数可作为肿瘤进展和骨质流失的独特光谱标志物。随着用于深部组织测量的空间偏移拉曼光谱技术发展取得的有前景的进展,这种光谱标志物有可能用于未来转移性骨的无创评估和病理性骨折风险的预测。