Infrared Microspectroscopy for Cervical Cancer Screening
用于宫颈癌筛查的红外显微光谱
基本信息
- 批准号:7064235
- 负责人:
- 金额:$ 34.11万
- 依托单位:
- 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 2007-09-20
- 项目状态:已结题
- 来源:
- 关键词:bioimaging /biomedical imagingcell typecervical /vaginal smearcervix neoplasmsclinical researchcomputer data analysisdiagnosis design /evaluationdiagnosis quality /standardhistopathologyhuman subjecthuman tissueinformation systemsinfrared spectrometrymass screeningmethod developmentneoplasm /cancer diagnosistissue /cell preparation
项目摘要
DESCRIPTION (provided by applicant): This proposal is aimed at establishing Infrared Microspectroscopy (IR-MSP) as a faster, less expensive, more objective and more accurate technology for the detection of cervical dvsplasia than presently used methods. Screening for cervical disease is presently carried out via a cytological procedure (the Papanicolaou, or "Pap" test), that was first proposed in the late 1940's [Papanicolaou, 1948]. Although regularly scheduled gynecological screening using the Pap test has reduced the incidence of, and mortality from, cervical cancer enormously, there remains a relatively high rate of inaccurate or inconclusive diagnoses [US Department of Health and Human Services, 1989]. Classical cytology is a visual inspection method based on locating and recognizing cells with altered morphology as an indicator of disease. The morphological changes are a consequence of cellular mutations. Although well established, this approach suffers from the fact that the interpretation of morphological change is human-based and therefore, subjective in nature. Furthermore, operator fatigue, training and experience influence the quality, reliability and reproducibility of cytological diagnoses. To alleviate the inherent limitation of visual inspection, computer based inspection by imaging technology has been developed and utilized over the past ten years. However, computer based image analysis has not significantly improved the reliability of the diagnoses, and has not proved cost effective [Hutchinson, 1996]. IR-MSP is a novel technique that recognizes abnormality by detecting cellular composition and variations therein, rather than by changes in morphological features. In fact, IR-MSP detects the precursor of the morphological change. The actual measurement carded out in IR-MSP is objective and quantifiable; consequently, the diagnostic method is more sensitive, specific, reproducible and reliable than existing methods. In this proposal, the methodology for IR-MSP testing of cervical smears will be developed, including the purification of the exfoliated cells, preparation of a cell monolayer on a suitable substrate, spectral imaging of about 104 individual cells via an infrared microspectrometer equipped with a focal plane array detector, and analysis of the collected data via multivariate statistical methods to arrive at a diagnosis. This work has the potential to improve cervical cancer screening by further reducing false positive and false negative diagnoses, and introducing fast and point-of-care routine screening tests.
描述(由申请人提供):该提案旨在建立红外微光谱(IR-MSP)作为一种比目前使用的方法更快,更便宜,更便宜,更客观,更准确的技术来检测宫颈DVSPlasia。目前通过细胞学程序(Papanicolaou或“ Pap”测试)进行宫颈疾病的筛查,该程序是在1940年代后期提出的[Papanicolaou,1948年]。尽管使用PAP检验进行定期安排的妇科筛查降低了宫颈癌的发病率和死亡率,但仍存在相对较高的诊断率相对较高的率[美国卫生与公共服务部,1989年]。经典细胞学是一种基于定位和识别形态改变的细胞作为疾病的指标的视觉检查方法。形态变化是细胞突变的结果。尽管建立得很好,但这种方法却遭受了以下事实:形态变化的解释是基于人类的,因此本质上是主观的。此外,操作员疲劳,培训和经验会影响细胞学诊断的质量,可靠性和可重复性。为了减轻视觉检查的固有局限性,在过去的十年中已经开发和利用了基于计算机的成像技术的基于计算机的检查。但是,基于计算机的图像分析并未显着提高诊断的可靠性,也没有证明具有成本效益[Hutchinson,1996]。 IR-MSP是一种新型技术,可以通过检测细胞组成和其中的变异而不是通过形态特征的变化来识别异常。实际上,IR-MSP检测形态变化的前体。在IR-MSP中删除的实际测量是客观且可量化的。因此,诊断方法比现有方法更敏感,具体,可再现和可靠。 在该提案中,将开发用于颈椎涂片的IR-MSP测试的方法,包括纯化剥落细胞的纯化,在合适的底物上制备细胞单层,通过配备有焦点平面阵列的近距离图和分析,通过配备有焦点平面阵列的分析,将大约104个单个单个细胞的光谱成像通过配备有焦点阵列的分析,以实现统计学分析。这项工作有可能通过进一步减少假阳性和假阴性诊断,并引入快速和护理的常规筛查测试来改善宫颈癌筛查。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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$ 34.11万 - 项目类别:
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通过光谱成像检测淋巴结癌症
- 批准号:
7122467 - 财政年份:2005
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Micro-Spectroscopy for Cytological Screening, and Staging of Disease
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$ 34.11万 - 项目类别:
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$ 34.11万 - 项目类别:
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