Micro-Spectroscopy for Cytological Screening, and Staging of Disease

用于细胞学筛查和疾病分期的显微光谱学

基本信息

批准号：
7687493
负责人：
MAX DIEM
金额：
$ 44.92万
依托单位：
NORTHEASTERN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2003
资助国家：
美国
起止时间：
2003-04-01 至 2011-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7687493
关键词：
Abnormal Cell Activated Lymphocyte Address Algorithms Autologous Transplantation Biochemical Biopsy Bladder Bladder Neoplasm Bladder Urothelial Cell Blood Body Fluids Bone Marrow Breast Cancer Detection Bronchoalveolar Lavage Cancer Prognosis Cancerous Cardiovascular system Cell Line Cell Proliferation Cell Size Cell division Cells Cellular Morphology Centrifugation Cervical Cervical Cancer Screening Cervix Uteri Chemicals Collecting Cell Collection Color Colostrum Common Neoplasm Computers Crows Cytology Cytopathology Data Data Collection Data Set Databases Detection Development Diagnosis Diagnostic Diagnostic Procedure Disease Disease Progression Disease remission Endoscopy Epithelial Cells Event Exhibits Eye Fatigue Filtration Flushing Funding Gold Health Hematopoietic Hematopoietic Neoplasms Human Incidence Individual Laboratories Lung Lymph Lymphatic System Lymphocyte Lymphoma Malignant Neoplasms Malignant neoplasm of cervix uteri Malignant neoplasm of urinary bladder Maps Measurement Medical Methodology Methods Microscope Microscopic Monitor Nature Needle biopsy procedure Normal Cell Nose Optical Methods Optics Pap smear Pathology Patients Principal Component Analysis Principal Investigator Procedures Property Radiation Reporting Research Research Personnel Residual Tumors Residual state Saliva Sampling Schedule Screening for Oral Cancer Screening for cancer Screening procedure Services Slide Spectrum Analysis Sputum Staging Staining method Stains Stem cells System T-Lymphocyte Techniques Testing Time Tissue Stains Tissues Training Transitional Cell Transplantation Treatment Efficacy Urine Variant Visible Radiation Visual Work Workload base cancer cell cancer diagnosis cell type chemotherapy digital disease diagnosis follow-up improved in vivo indexing instrument leukemia/lymphoma lung cancer screening mortality neuronal cell body novel point of care precursor cell programs research clinical testing research study sample collection statistics

项目摘要

DESCRIPTION (provided by applicant): The aim of the proposed research is the development of new methodology to aid classical cytology and pathology in the detection and diagnosis of disease. In classical cytology, visual inspection is used to detect changes in the morphology of cells obtained from body fluids, or by exfoliation or thin needle biopsy, while in classical pathology stained tissue sections are examined visually. The novel methods being developed in the PI's laboratory, referred to as spectral cytology and spectral pathology, are based on optical measurements, which detect variations in biochemical composition of cells quantitatively, and which use objective algorithms to quantify the spectral results in terms of disease. These diagnostic algorithms are trained using the correlation between spectral data and classical cytology/pathology as the gold standard. The efforts carried out in the Pi's laboratory, and results from other groups worldwide, have demonstrated that spectral cytology is an extraordinarily sensitive method for detecting variations in cellular properties. For example, spectral cytology at the single cell level can be used to distinguish normal from cancerous epithelial cells, normal lymphocytes from lymphoma cells, and even closely related normal cells from each other (e.g. B- and T-lymphocytes, activated and non-activated lymphocytes). Relevance: The methods of optical diagnoses being developed in the PI's laboratory will augment presently available methods of cytology and pathology to screen exfoliated cells for disease, and diagnose tissue sections from biopsies for the same diseases. The optical methods are entirely machine-based and computer-interpreted and thus, reduce the workload in diagnostic laboratories, increase the overall accuracy and decrease the time required to render medical diagnoses.

描述（由申请人提供）：拟议研究的目的是开发新的方法来帮助经典细胞学和病理学检测和诊断疾病。在经典细胞学中，目视检查用于检测从体液或通过剥脱或细针活检获得的细胞形态的变化，而在经典病理学中，通过目视检查染色的组织切片。 PI实验室正在开发的新方法被称为光谱细胞学和光谱病理学，它们基于光学测量，定量检测细胞生化成分的变化，并使用客观算法来量化疾病方面的光谱结果。这些诊断算法使用光谱数据和经典细胞学/病理学之间的相关性作为金标准进行训练。 Pi 实验室所做的努力以及世界各地其他小组的结果表明，光谱细胞学是检测细胞特性变化的极其灵敏的方法。例如，单细胞水平的光谱细胞学可用于区分正常上皮细胞与癌性上皮细胞、正常淋巴细胞与淋巴瘤细胞，甚至彼此密切相关的正常细胞（例如 B 淋巴细胞和 T 淋巴细胞、活化和非活化细胞）淋巴细胞）。相关性：PI 实验室正在开发的光学诊断方法将增强目前可用的细胞学和病理学方法，以筛查脱落细胞是否患有疾病，并诊断来自活检的组织切片是否患有相同疾病。光学方法完全基于机器和计算机解释，因此减少了诊断实验室的工作量，提高了整体准确性并减少了医疗诊断所需的时间。