SPECTRAL-SPATIAL HETEROGENEITY FOR BREAST TUMOR CHARACTERIZATION

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 最近，已经发现了可能对乳腺组织中的病理具有特异性的NIR光谱吸收特征。 这些光谱，被称为“特定肿瘤成分”，或STC光谱，已被证明可以区分良性和恶性乳腺病变。 在先前的工作中，将来自肿瘤的STC光谱一起平均以提供肿瘤STC。 然而，已知肿瘤在结构和功能上是异质的。 我们提出，在STC光谱在一个给定的体积的组织内的异质性可能是不同的细胞群体在肿瘤内的空间分布的指示。 因此，表征光谱异质性的类型可能预测肿瘤对治疗干预的反应。

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. Recently NIR spectral absorption signatures that may be specific to pathology in breast tissues have been discovered. These spectra, referred to as "Specific Tumor Components", or STC spectra, have been shown to distinguish between benign and malignant breast lesions. In this previous work, STC spectra from tumors were averaged together to provide a tumor STC. However, tumors are known to be heterogeneous in structure and function. We propose that heterogeneity in the STC spectra within a given volume of tissue may be indicative of the spatial distribution of distinct cellular populations within the tumor. Characterizing the types of spectral heterogeneity might therefore predict the response of the tumor to therapeutic interventions.