Detection of Cancer in Lymph Nodes by Spectral Imaging

通过光谱成像检测淋巴结癌症

• 批准号: 7288397
• 负责人: MAX DIEM
• 金额: $ 32.92万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-14 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7288397
• 关键词: Address; Affect; Agreement; Algorithms; Appendix; Applications Grants; Area; Axillary lymph node group; Benign; Biopsy; Body Fluids; Breast Cancer Cell; Caliber; Cancer Detection; Cancerous; Cells; Clinical Trials; Code; Colon Carcinoma; Color; Data; Data Analyses; Databases; Detection; Development; Diagnosis; Diagnostic; Diagnostic Procedure; Discrimination; Disease; Disseminated Malignant Neoplasm; Economics; Emotional Stress; Europe; Excision; Exhibits; Facility Construction Funding Category; Foundations; Goals; Histocompatibility Testing; Histopathology; Hour; Hyperplasia; Image; Individual; Institution; Laboratories; Left; Liability Insurance; Lymph node excision; Malignant - descriptor; Malignant Neoplasms; Maps; Mastectomy; Measures; Medicine; Methodology; Methods; Microscopic; Microtome - medical device; Neoplasm Metastasis; Numbers; Operating Rooms; Operative Surgical Procedures; Optics; Patients; Preparation; Primary Neoplasm; Radiation; Radiation therapy; Research; Sampling; Sensitivity and Specificity; Spectrum Analysis; Staging; Staining method; Stains; Statistical Methods; Technology; Thinking; Time; Tissues; United States National Institutes of Health; Variant; Vent; Visual; Wood material; base; breast lumpectomy; cancer cell; cancer surgery; cancer type; data acquisition; day; instrument; instrumentation; lymph nodes; malignant breast neoplasm; novel; optical imaging; tool; tumor

DESCRIPTION (provided by applicant): This proposal presents data that demonstrate that lymph nodes can be analyzed for the presence of metastatic cancer cells by novel spectroscopic and mathematical methods. These methods use Infrared Spectral Imaging as the primary means for data acquisition, and multivariate statistical algorithms for the analysis of spectral data to produce a diagnosis. Specifically, this proposal will establish the scientific foundation for the detection of breast cancer cells in the axillary lymph nodes, excised during lumpectomies and mastectomies, in order to stage the spread of cancer. The goal of the proposed research is the development of an operating room-based instrument that will produce a diagnosis within 15 minutes after excision of a lymph node. The diagnosis will be presented in the form of a pseudo-color image that highlights the presence of breast cancer cells and/or secondary tumors. Thus, the milestones for this research are a) the development of rapid sample preparation methodology, b) the refinement of the imaging instrumentation, c) the construction of reliable databases and algorithms for the detection of metastatic cancer cells in lymph nodes, and d) the determination of sensitivity and specificity of the optical diagnostic method. The significance of the proposed detection method arises from the fact that many breast cancers are detected only after metastases have occurred. In such cases, the primary tumors have spread into adjacent lymph nodes, which need to be removed to stop the further proliferation of disease. The spread of metastatic cells determines further action, such as chemo- or radiation therapy. Thus, the accuracy and immediate availability of pathological results are of utmost importance. Presently, these results often are not available for hours or even days. The methodology described in this proposal is based on the observation from the PI's and other laboratories that cancerous tissue exhibits subtle infrared spectral differences that permit the distinction of normal and abnormal regions in biopsy tissue. These differences can be amplified by collecting thousands of individual spectra from microscopic regions of the tissue section (spectral imaging), and employing multivariate statistical methods of analysis. In this manner, images are obtained, in the form of pseudo-color maps, in which diseased areas are indicated. The methodology and technology to be developed in this research will readily be transferable to the analysis of lymph nodes affected with cancers other than breast cancer, once databases for other cancers are established. Thus, the proposed research represents a major improvement of present methods via novel optical and algorithmic diagnoses.

描述（由申请人提供）：本提案提供的数据表明，通过新的光谱和数学方法可以分析淋巴结是否存在转移性癌细胞。这些方法使用红外光谱成像作为数据采集的主要手段，并使用多元统计算法对光谱数据进行分析以产生诊断。

项目成果

Statistical analysis of a lung cancer spectral histopathology (SHP) data set.

肺癌光谱组织病理学 (SHP) 数据集的统计分析。

• DOI: 10.1039/c4an01832j
• 发表时间: 2015
• 期刊: The Analyst
• 作者: Mu,Xinying;Kon,Mark;Ergin,Ayşegül;Remiszewski,Stan;Akalin,Ali;Thompson,ClayM;Diem,Max
• 通讯作者: Diem,Max

Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology.

红外显微光谱成像：腋窝淋巴结组织学中组织类型的区分。

• DOI: 10.1186/1472-6890-8-8
• 发表时间: 2008-08-29
• 期刊: BMC clinical pathology
• 作者: Bird, Benjamin;Miljkovic, Milos;Romeo, Melissa J;Smith, Jennifer;Stone, Nicholas;George, Michael W;Diem, Max
• 通讯作者: Diem, Max

Spectral detection of micro-metastases in lymph node histo-pathology.

• DOI: 10.1002/jbio.200810066
• 发表时间: 2009-02
• 期刊: JOURNAL OF BIOPHOTONICS
• 影响因子: 2.8
• 作者: Bird, Benjamin;Romeo, Melissa;Laver, Nora;Diem, Max
• 通讯作者: Diem, Max