IDENTIFICATION OF NEAR-INFRARED SPECTRAL SIGNATURES FOR BREAST LESIONS

乳腺病变近红外光谱特征的识别

• 批准号: 8362613
• 负责人: ALBERT Edward CERUSSI
• 金额: $ 2.33万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362613
• 关键词: Benign; Binding; Biotechnology; Breast; Characteristics; Diagnostic; Fingerprint; Funding; Grant; Hemoglobin; Lasers; Lipids; Malignant Neoplasms; Metabolism; Methods; Modeling; National Center for Research Resources; Optics; Patients; Principal Investigator; Research; Research Infrastructure; Resources; Source; Specificity; United States National Institutes of Health; Variant; Water; absorption; base; breast lesion; cost; improved; indexing; tumor

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.

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。 我们发展了一种双微分方法来分析乳腺肿瘤区域的近红外光谱。 我们发现，近红外（650- 1000 nm）光谱的乳腺肿瘤的脂质指纹区域中的特征吸收带是在传统的光谱模型中无法解释的。 这些光谱分量不出现在同一患者的正常乳房中或远离肿瘤的患病乳房的区域中。 这些光谱成分来源于肿瘤中存在的脂质，其丰度与正常乳腺不同，或者来源于肿瘤中不同代谢引起的新脂质成分。 此外，与正常乳腺相比，肿瘤区域980-1000 nm区域的水带也显示出明显的变化。 通过结合脂质和水区域的信息，我们构建了一个指数，该指数是肿瘤区域的特征（100%的特异性和93%的灵敏度为17例研究），并有可能区分良性和恶性肿瘤的脂质成分和/或结合水的基础上。 该指数可以与先前描述的基于水、脂质和血红蛋白的量的指数组合，以进一步提高光谱方法的诊断能力。 令人惊讶的是，肿瘤的大小（范围4-70 mm）与该指数的值无关，为小肿瘤和大肿瘤提供了相似的灵敏度。