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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.

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。

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