Skin Cancer Detection using Polarized Light Spectroscopic Methods

使用偏振光光谱方法检测皮肤癌

基本信息

批准号：
7364038
负责人：
Zijun Wang
金额：
$ 23.03万
依托单位：
CLEMSON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-03-15 至 2013-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7364038
关键词：
Algorithms Benign Biopsy Cancer Detection Cellular Morphology Cellular Structures Cessation of life Classification Clinical Clinical Research Computer software Data Depth Detection Development Diagnosis Diagnostic Diagnostic Procedure Laboratories Lesion Light Light-Scattering Spectroscopy Malignant - descriptor Melanins Methods Mission Modeling Morphology Numbers Optics Particle Size Population Rate Relative (related person)Reporting Research Screening for Skin Cancer Skin Skin Cancer Solid Specificity Spectrum Analysis Structure System Techniques Technology Testing Tissues World Health Organization base burden of illness cancer diagnosis human subject improved innovation light scattering melanoma nephelometry noninvasive diagnosis novel particle polarized light prototype reconstruction research study simulation skin disorder software development success tool

项目摘要

DESCRIPTION (provided by applicant): An estimated 160,000 people each year develop melanomas, the most dangerous form of skin cancer, and as many as 48,000 die worldwide every year from some form of skin disease according to the recent World Health Organization (WHO) report. As such, there is a critical need to develop improved diagnostic procedures to reduce these deaths. Because such large numbers of cases are only expected to increase over the next few decades, the object of this application is to develop an improved skin cancer diagnostic system that can have a significant and positive impact on this population, which is the subject of this proposal. The central hypothesis of this application is that single-scattered, polarized light spectroscopic methods combined with multiple-scattered, unpolarized light spectroscopy provide unprecedented tissue functional information and cellular structures for rapid noninvasive diagnosis of the skin cancer. This hypothesis has been formulated on the basis of strong preliminary data produced with our combined Multiple Scattered Light Spectroscopy (MSLS)/Polarized Light Spectroscopy (PLS) prototype laboratory system. The rationale for the proposed research is that a combination of MSLS/PLS technology can be used to accurately reflect morphologies in specific diseased layers of skin. MSLS mathematically models the multilayered structure of the skin using light propagation, whereas PLS physically (not mathematically) discriminates between multiple layers of tissue. This proposed system, achieved highly accurate results for skin cancer detection in a pilot clinical study, providing a specificity of 91%, relative to a specificity of 80% and 82% provided by using PLS and MSLS methods individually. Thus the proposed research is fundamental to the essential part of NIH's mission that pertains to the development new systems to reduce the burden of disease. Guided by strong preliminary data, this hypothesis will be tested by pursuing four specific aims. These involve: 1) Developing an optical spectroscopic system combining single/multiple-scattered light measurements; 2) Implementing reconstruction algorithms to improve parameter extractions based on more accurate Hb/HbO2 calculation models, non-spherical particle scattering models and multi-modal particle size distribution models; 3) Testing the system using simulation experiments, and human subjects; 4) Developing algorithms for skin cancer diagnosis by correlating optical signatures with the pathophysiologic parameters using histomorphometric techniques. The approach is innovative because it utilizes the combined single and multiple-scattered light spectroscopic methods for skin cancer diagnosis. The proposed research is significant, because it is expected to advance a novel spectroscopic method for skin cancer detection by focusing on improving feature extraction algorithms and enhancing classification software. This research is expected to significantly contribute to the early skin cancer screening and detection by maximizing cure rates and reducing and avoiding biopsies.

描述（由申请人提供）：根据世界卫生组织 (WHO) 最近的报告，估计每年有 160,000 人患上黑色素瘤，这是最危险的皮肤癌，并且全世界每年有多达 48,000 人死于某种形式的皮肤病。因此，迫切需要开发改进的诊断程序以减少这些死亡。由于如此大量的病例预计在未来几十年内只会增加，因此本申请的目的是开发一种改进的皮肤癌诊断系统，该系统可以对该人群产生重大和积极的影响，这也是本提案的主题。该应用的中心假设是，单散射偏振光光谱方法与多散射非偏振光谱方法相结合，为皮肤癌的快速无创诊断提供了前所未有的组织功能信息和细胞结构。这一假设是在我们的多重散射光光谱 (MSLS)/偏振光光谱 (PLS) 原型实验室系统组合产生的强有力的初步数据的基础上制定的。拟议研究的基本原理是，MSLS/PLS 技术的组合可用于准确反映特定病变皮肤层的形态。 MSLS 使用光传播对皮肤的多层结构进行数学建模，而 PLS 在物理上（而非数学上）区分多层组织。该系统在一项试点临床研究中获得了高度准确的皮肤癌检测结果，特异性为 91%，而单独使用 PLS 和 MSLS 方法提供的特异性为 80% 和 82%。因此，拟议的研究对于 NIH 使命的重要部分至关重要，该使命涉及开发新系统以减轻疾病负担。在强有力的初步数据的指导下，这一假设将通过追求四个具体目标进行检验。其中包括：1）开发结合单次/多次散射光测量的光学光谱系统； 2）基于更精确的Hb/HbO2计算模型、非球形颗粒散射模型和多模态颗粒尺寸分布模型，实施重建算法以改进参数提取； 3）使用模拟实验和人体受试者来测试系统； 4) 通过使用组织形态计量技术将光学特征与病理生理参数相关联，开发皮肤癌诊断算法。该方法具有创新性，因为它利用组合的单散射光光谱方法和多散射光光谱方法来诊断皮肤癌。这项研究意义重大，因为它有望通过重点改进特征提取算法和增强分类软件来推进一种用于皮肤癌检测的新型光谱方法。这项研究预计将通过最大限度地提高治愈率并减少和避免活检，为早期皮肤癌筛查和检测做出重大贡献。