IDENTIFICATION OF NEAR-INFRARED SPECTRAL SIGNATURES FOR BREAST LESIONS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 我们开发了一种双差分方法来分析乳腺肿瘤区域的近红外光谱。我们发现，乳房肿瘤患者的近红外(650-1000 nm)光谱在脂质指纹区域有特征吸收带，这在传统的光谱模型中是无法解释的。这些光谱成分不会出现在同一患者的正常乳房中，也不会出现在病变乳房远离肿瘤的区域。这些光谱成分来源于肿瘤中存在的脂类，这些脂类的丰度与正常乳腺不同，或者是由于肿瘤中不同的新陈代谢而产生的新的脂类成分。此外，与正常乳腺相比，980-1000 nm区域的水带在肿瘤区域也显示出明显的变化。通过结合脂质和水区的信息，我们构建了一个具有肿瘤区域特征的指数(对于17名被调查的患者来说，特异度和敏感度分别为100%和93%)，并有可能根据脂质成分和/或结合水来区分良、恶性肿瘤。这一指标可以与之前描述的基于水、脂和血红蛋白的指标相结合，以进一步提高光学光谱方法的诊断能力。令人惊讶的是，肿瘤的大小(范围4-70毫米)与该指数的值没有相关性，对较小和较大的肿瘤提供了类似的敏感性。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. We developed a double differential method to analyze the near-infrared spectra of regions of the breast with tumors. We show that the near-infrared (650-1000nm) spectra of breasts with tumors have characteristic absorption bands in the lipid fingerprint region that are unaccounted for in conventional spectral models. These spectral components do not appear in the normal breast of the same patient or in regions of the diseased breast away of the tumor. These spectral components originate from lipids that are present in tumors either in different abundance than in the normal breast or new lipid components that are caused by the different metabolism in tumors. Furthermore, the water band in the 980-1000 nm region also shows distinct variations in the tumor region compared to the normal breast. By combining the information in the lipid and water region, we constructed an index that is characteristic of the tumor region (100% specificity and 93% sensitivity for the 17 patients investigated) and has the potential to distinguish benign form malignant tumors on the basis of the lipid composition and /or bound water. This index can be combined with previously described indexes based in the amount of water, lipids and hemoglobin to further improve the diagnostic power of optical spectral methods. Surprisingly, the size of the tumor (range 4-70 mm) does not correlate with the value of this index, providing similar sensitivity for small and larger tumors.