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）：该提案提供的数据证明可以通过新颖的光谱和数学方法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来分析光谱数据以产生诊断。 具体来说，该提案将为检测在肿块切除术和乳房切除术期间切除的腋窝淋巴结中的乳腺癌细胞奠定科学基础，以便对癌症的扩散进行分期。拟议研究的目标是开发一种基于手术室的仪器，可在切除淋巴结后 15 分钟内做出诊断。诊断将以伪彩色图像的形式呈现，突出显示乳腺癌细胞和/或继发性肿瘤的存在。 因此，这项研究的里程碑是a）快速样品制备方法的发展，b）成像仪器的改进，c）构建用于检测淋巴结中转移性癌细胞的可靠数据库和算法，以及d）光学诊断方法的敏感性和特异性的测定。 所提出的检测方法的重要性在于许多乳腺癌仅在发生转移后才被检测到。在这种情况下，原发肿瘤已扩散到邻近的淋巴结，需要将其切除以阻止疾病的进一步扩散。转移细胞的扩散决定了进一步的治疗，例如化疗或放射治疗。因此，病理结果的准确性和即时可用性至关重要。目前，这些结果通常需要数小时甚至数天才能获得。 本提案中描述的方法基于 PI 和其他实验室的观察，即癌组织表现出微妙的红外光谱差异，可以区分活检组织中的正常区域和异常区域。通过从组织切片的微观区域收集数千个单独的光谱（光谱成像）并采用多元统计分析方法，可以放大这些差异。以这种方式，获得伪彩色图形式的图像，其中指示了患病区域。一旦其他癌症的数据库建立起来，这项研究中开发的方法和技术将很容易转移到受乳腺癌以外的癌症影响的淋巴结分析中。因此，所提出的研究代表了通过新颖的光学和算法诊断对现有方法的重大改进。

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

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

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