SPECTROSCOPIC SYSTEM AND METHOD FOR PREDICTING OUTCOME OF DISEASE

    公开(公告)号:WO2008100582A9

    公开(公告)日:2008-08-21

    申请号:PCT/US2008/001988

    申请日:2008-02-14

    Abstract: A system and method to predict the progression of disease of a test sample is provided A group of known biological samples is provided, each having an associated known outcome including a non-diseased or diseased sample. A Raman data set is obtained for each known biological sample. Each data set is analyzed to identify a diseased or non-diseased reference data set. A first database is generated which contains reference Raman data sets for all diseased samples. A second-database is generated which contains reference data sets for all non-diseased samples. A test Raman data set of a test biological sample having an unknown disease status is received. A diagnostic is provided as to whether the test sample is non-diseased or diseased The diagnostic is obtained by comparing the test data set against the reference data sets in the databases using a chemometric technique to predict the progression of disease.

    SYSTEM AND METHOD FOR CYTOLOGICAL ANALYSIS BY RAMAN SPECTROSCOPIC IMAGING
    12.
    发明申请
    SYSTEM AND METHOD FOR CYTOLOGICAL ANALYSIS BY RAMAN SPECTROSCOPIC IMAGING 审中-公开
    通过拉曼光谱成像进行细胞分析的系统和方法

    公开(公告)号:WO2007056560A2

    公开(公告)日:2007-05-18

    申请号:PCT/US2006043755

    申请日:2006-11-09

    Abstract: A method and system of differentially manipulating cells where the cells, suspended in a fluid, are irradiated with substantially monochromatic light. A Raman data set is obtained from the irradiated cells and where the data set is characteristic of a disease status. The data set is assessed to identify diseased cells. A Raman chemical image of the irradiated cells is also obtained. Based on the assessment and the Raman chemical image, the fluid in which the cells are suspended is differentially manipulated. The diseased cells are directed to a first location and other non-diseased cells are directed to a second location as part of the differential manipulation. The diseased cells may be treated with a physical stress, a chemical stress, and a iological stress and then returned to a patient from whom the diseased cells were obtained prior to the irradiation.

    Abstract translation: 一种差异操纵细胞的方法和系统,其中悬浮在流体中的细胞用基本上单色的光照射。 从照射的细胞获得拉曼数据集,其中数据集是疾病状态的特征。 评估数据集以鉴定患病细胞。 还获得了照射的细胞的拉曼化学图像。 基于评估和拉曼化学图像,细胞悬浮的流体被差异地操纵。 病变细胞被引导到第一位置,并且其他非病变细胞被引导到第二位置作为差异操纵的一部分。 患病细胞可以用物理应力,化学应力和生理压力进行治疗,然后返回到在照射之前从其获得患病细胞的患者。

    METHOD OF CHEMICAL IMAGING TO DETERMINE TISSUE MARGINS DURING SURGERY
    13.
    发明申请
    METHOD OF CHEMICAL IMAGING TO DETERMINE TISSUE MARGINS DURING SURGERY 审中-公开
    化学成像在手术期间确定组织标记的方法

    公开(公告)号:WO2006091853A2

    公开(公告)日:2006-08-31

    申请号:PCT/US2006/006663

    申请日:2006-02-24

    Abstract: A method and system to differentiate a tissue margins during various medical procedures. A region containing a biological tissue is irradiated, with a substantially monochromatic light. Raman spectroscopic data is obtained from the irradiated region. A boundary between a neoplastic portion and a non-neoplastic portion, in the region containing the biological tissue, is differentiated by evaluating the Raman spectroscopic data for at least one Raman spectroscopic value characteristic of either the neoplastic portion or the non-neoplastic portion. The neoplastic portion is selected for physical manipulation based on the differentiation of the boundary between the neoplastic portion and the non-neoplastic portion.

    Abstract translation: 在各种医疗过程中区分组织边缘的方法和系统。 用基本上单色的光照射含有生物组织的区域。 从照射区域获得拉曼光谱数据。 在包含生物组织的区域中的肿瘤部分和非肿瘤部分之间的边界通过评估肿瘤部分或非肿瘤部分的至少一个拉曼光谱值特征的拉曼光谱数据来区分。 基于肿瘤部分和非肿瘤部分之间的边界的分化,选择肿瘤部分用于物理操作。

    SYSTEM AND METHOD FOR SERUM BASED CANCER DETECTION
    15.
    发明申请
    SYSTEM AND METHOD FOR SERUM BASED CANCER DETECTION 审中-公开
    基于血清的癌症检测系统及方法

    公开(公告)号:WO2014074569A1

    公开(公告)日:2014-05-15

    申请号:PCT/US2013/068671

    申请日:2013-11-06

    Abstract: A system and method for analyzing biological samples, such as dried human blood serum, to determine a disease state such as colorectal cancer (CRC). Using dried samples may hold potential for enhancing localized concentration and/or segmentation of sample components. The method may comprise illuminating at least one location of a biological sample to generate a plurality of interacted photons, collecting the interacted photons and generating at least one Raman data set representative of the biological sample. A system may comprise an illumination source to illuminate at least one location of a biological sample and generate at least one plurality of interacted photons, at least one mirror for directing the interacted photons to a detector. The detector may be configured to generate at least one Raman data set representative of the biological sample. The system and method may utilize a FAST device for multipoint analysis or may be configured to analyze a sample using a line scanning configuration.

    Abstract translation: 用于分析诸如干人血清的生物样品以确定诸如结肠直肠癌(CRC)的疾病状态的系统和方法。 使用干燥的样品可能具有增强样品组分的局部浓度和/或分割的潜力。 该方法可以包括照射生物样品的至少一个位置以产生多个相互作用的光子,收集相互作用的光子并产生代表生物样品的至少一个拉曼数据集。 系统可以包括照明源以照亮生物样品的至少一个位置并且生成至少一个多个相互作用的光子,至少一个反射镜,用于将相互作用的光子引导到检测器。 检测器可以被配置为产生代表生物样品的至少一个拉曼数据集。 系统和方法可以利用FAST设备进行多点分析,或者可以配置为使用线扫描配置来分析样本。

    SPECTROSCOPIC SYSTEM AND METHOD FOR PREDICTING OUTCOME OF DISEASE
    17.
    发明申请
    SPECTROSCOPIC SYSTEM AND METHOD FOR PREDICTING OUTCOME OF DISEASE 审中-公开
    光谱学系统和预测疾病预测的方法

    公开(公告)号:WO2008100582A3

    公开(公告)日:2008-10-09

    申请号:PCT/US2008001988

    申请日:2008-02-14

    Abstract: A system and method to predict the progression of disease of a test sample is provided A group of known biological samples is provided, each having an associated known outcome including a non-diseased or diseased sample. A Raman data set is obtained for each known biological sample. Each data set is analyzed to identify a diseased or non-diseased reference data set. A first database is generated which contains reference Raman data sets for all diseased samples. A second-database is generated which contains reference data sets for all non-diseased samples. A test Raman data set of a test biological sample having an unknown disease status is received. A diagnostic is provided as to whether the test sample is non-diseased or diseased The diagnostic is obtained by comparing the test data set against the reference data sets in the databases using a chemometric technique to predict the progression of disease.

    Abstract translation: 提供了一种用于预测测试样品的疾病进展的系统和方法。提供了一组已知的生物样品,每个具有相关联的已知结果,包括非患病或患病样品。 获得每个已知生物样品的拉曼数据集。 分析每个数据集以识别患病或非患病参考数据集。 生成包含所有患病样本的参考拉曼数据集的第一个数据库。 生成包含所有非病变样本的参考数据集的第二数据库。 接收具有未知疾病状态的测试生物样品的测试拉曼数据集。 提供了关于测试样品是否患病或患病的诊断。诊断是通过使用化学计量技术比较测试数据集与数据库中的参考数据集来预测疾病进展而获得的。

    SPECTROSCOPIC SYSTEM AND METHOD FOR PREDICTING OUTCOME OF DISEASE
    18.
    发明申请
    SPECTROSCOPIC SYSTEM AND METHOD FOR PREDICTING OUTCOME OF DISEASE 审中-公开
    光谱学系统和预测疾病预测的方法

    公开(公告)号:WO2008100582A2

    公开(公告)日:2008-08-21

    申请号:PCT/US2008001988

    申请日:2008-02-14

    Abstract: A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.

    Abstract translation: 一种预测测试样本疾病进展的系统和方法。 提供了一组已知的生物样品。 每个已知的生物样品具有相关的已知结果,包括非患病样品或患病样品。 获得每个已知生物样品的拉曼数据集。 分析每个拉曼数据集,以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。 生成第一个数据库,其中第一个数据库包含所有患病样本的参考拉曼数据集。 生成第二数据库,其中第二数据库包含所有非患病样本的参考拉曼数据集。 接受测试生物样品的测试拉曼数据集,其中测试生物样品具有未知的疾病状态。 提供了关于测试样品是否是非患病样品或患病样品的诊断。 通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。 可以提供疾病进展的预测。

    CYTOLOGICAL METHODS FOR DETECTING A DISEASE CONDITION SUCH AS MALIGNANCY BY RAMAN SPECTROSCOPIC IMAGING
    19.
    发明申请
    CYTOLOGICAL METHODS FOR DETECTING A DISEASE CONDITION SUCH AS MALIGNANCY BY RAMAN SPECTROSCOPIC IMAGING 审中-公开
    用于通过拉曼光谱成像检测疾病状态如恶性肿瘤的细胞学方法

    公开(公告)号:WO2006135628A3

    公开(公告)日:2007-06-07

    申请号:PCT/US2006022083

    申请日:2006-06-06

    CPC classification number: G01N21/65 G01N2021/656

    Abstract: Raman molecular imaging (RMI) is used to detect mammalian cells of a particular phenotype. For example the disclosure includes the use of RMI to differentiate between normal and diseased cells or tissues, e.g., cancer cells as well as in determining the grade of said cancer cells. In a preferred embodiment benign and malignant lesions of bladder and other tissues can be distinguished, including epithelial tissues such as lung, prostate, kidney, breast, and colon, and non-epithelial tissues, such as bone marrow and brain. Raman scattering data relevant to the disease state of cells or tissue can be combined with visual image data to produce hybrid images which depict both a magnified view of the cellular structures and information relating to the disease state of the individual cells in the field of view. Also, RMI techniques may be combined with visual image data and validated with other detection methods to produce confirm the matter obtained by RMI.

    Abstract translation: 拉曼分子成像(RMI)用于检测特定表型的哺乳动物细胞。 例如,本公开包括使用RMI来区分正常和患病细胞或组织,例如癌细胞,以及确定所述癌细胞的等级。 在一个优选实施方案中,可以区分膀胱和其他组织的良性和恶性病变,包括上皮组织如肺,前列腺,肾,乳腺和结肠以及非上皮组织,例如骨髓和脑。 可以将与细胞或组织的疾病状态相关的拉曼散射数据与视觉图像数据组合,以产生描绘细胞结构的放大视图和与视野中的各个细胞的疾病状态有关的信息的混合图像。 此外,RMI技术可以与可视图像数据组合,并用其他检测方法验证,以确定RMI获得的事项。

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