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    • 3. 发明授权
    • Method for probabilistically classifying tissue in vitro and in vivo using fluorescence spectroscopy
    • 使用荧光光谱法在体外和体内概率分类组织的方法
    • US07236815B2
    • 2007-06-26
    • US10688152
    • 2003-10-17
    • Rebecca Richards-KortumNirmala RamanujamAnita Mahadevan-JansenMichele FollenUrs Utzinger
    • Rebecca Richards-KortumNirmala RamanujamAnita Mahadevan-JansenMichele FollenUrs Utzinger
    • A61B6/00
    • G01N21/274A61B5/0071A61B5/0075A61B5/0084A61B5/4331A61B5/7264G01N21/6486G01N2021/6417G01N2021/6419G01N2021/6484G06F19/00Y10S436/813
    • Fluorescence spectral data acquired from tissues in vivo or in vitro is processed in accordance with a multivariate statistical method to achieve the ability to probabilistically classify tissue in a diagnostically useful manner, such as by histopathological classification. The apparatus includes a controllable illumination device for emitting electromagnetic radiation selected to cause tissue to produce a fluorescence intensity spectrum. Also included are an optical system for applying the plurality of radiation wavelengths to a tissue sample, and a fluorescence intensity spectrum detecting device for detecting an intensity of fluorescence spectra emitted by the sample as a result of illumination by the controllable illumination device. The system also include a data processor, connected to the detecting device, for analyzing detected fluorescence spectra to calculate a probability that the sample belongs in a particular classification. The data processor analyzes the detected fluorescence spectra using a multivariate statistical method. The five primary steps involved in the multivariate statistical method are (i) preprocessing of spectral data from each patient to account for inter-patient variation, (ii) partitioning of the preprocessed spectral data from all patients into calibration and prediction sets, (iii) dimension reduction of the preprocessed spectra in the calibration set using principal component analysis, (iv) selection of the diagnostically most useful principal components using a two-sided unpaired student's t-test and (v) development of an optimal classification scheme based on logistic discrimination using the diagnostically useful principal component scores of the calibration set as inputs.
    • 根据多变量统计学方法处理从体内或体外组织获得的荧光光谱数据,以实现以诊断有用的方式(例如通过组织病理学分类)对组织进行概率分类的能力。 该装置包括用于发射被选择使得组织产生荧光强度光谱的电磁辐射的可控照明装置。 还包括用于将多个辐射波长施加到组织样本的光学系统和用于通过可控照明装置的照明来检测由样品发射的荧光光谱的强度的荧光强度光谱检测装置。 该系统还包括连接到检测装置的数据处理器,用于分析检测到的荧光光谱以计算样品属于特定分类的概率。 数据处理器使用多变量统计方法分析检测到的荧光光谱。 多变量统计方法涉及的五个主要步骤是(i)从每个患者预处理光谱数据以考虑患者间变异,(ii)将预处理的光谱数据从所有患者划分为校准和预测组,(iii) 使用主成分分析对校准集中的预处理光谱进行维数减少,(iv)使用双侧不配对的学生的t检验来选择诊断上最有用的主成分,以及(v)基于物流歧视开发最优分类方案 使用校准集的诊断上有用的主成分分数作为输入。
    • 6. 发明授权
    • Spectroscopic detection of cervical pre-cancer using radial basis
function networks
    • 使用径向基函数网络进行子宫颈癌的光谱检测
    • US6135965A
    • 2000-10-24
    • US757116
    • 1996-12-02
    • Kagan TumerNirmala RamanujamRebecca Richards-KortumJoydeep Ghosh
    • Kagan TumerNirmala RamanujamRebecca Richards-KortumJoydeep Ghosh
    • G01N21/64A61B1/00A61B1/303A61B1/307A61B1/31A61B5/00G01J3/28A61B6/00
    • A61B5/0084A61B5/0071A61B5/7267A61B5/0075G01J2003/2866Y10S128/925
    • An apparatus and methods for spectroscopic detection of tissue abnormality, particularly precancerous cervical tissue, using neural networks to analyze in vivo measurements of fluorescence spectra. The invention excites fluorescence intensity spectra in both normal and abnormal tissue. This fluorescence spectroscopy data is used to train a group (ensemble) of neural networks, preferably radial basis function (RBF) neural networks. Once trained, fluorescence spectroscopy data from unknown tissue samples is classified by the trained neural networks. This process is used to differentiate pre-cancers from normal tissues, and can also be used to differentiate high grade pre-cancers from low grade pre-cancers. One embodiment of the invention is able to distinguish pre-cancerous tissue from both normal squamous tissue (NS) and normal columnar (NC) tissue in a single-stage of analysis. The invention demonstrates significantly smaller variability in classification accuracy, resulting in more reliable classification, with superior sensitivity. Moreover, the single-stage embodiment of the invention simplifies the decision-making process as compared to a two-stage embodiment.
    • 用于分光检测组织异常的装置和方法,特别是癌前宫颈组织,使用神经网络分析荧光光谱的体内测量。 本发明激发正常组织和异常组织中的荧光强度谱。 该荧光光谱数据用于训练神经网络的组(集合),优选径向基函数(RBF)神经网络。 一旦训练,来自未知组织样本的荧光光谱数据被训练的神经网络分类。 该过程用于区分癌前病变与正常组织,也可用于区分高级别前期癌症与低级别前期癌症。 本发明的一个实施方案能够在单阶段分析中区分癌前组织与正常鳞状组织(NS)和正常柱状(NC)组织。 本发明在分类精度方面显示出较小的可变性,导致更可靠的分类,具有优异的灵敏度。 此外,与两级实施例相比,本发明的单级实施例简化了决策过程。
    • 8. 发明申请
    • OPTICAL ASSAY SYSTEM FOR INTRAOPERATIVE ASSESSMENT OF TUMOR MARGINS
    • 用于肿瘤标志物进行评估的光学测定系统
    • US20100301229A1
    • 2010-12-02
    • US12830078
    • 2010-07-02
    • Nirmala RamanujamLee G. Wilke
    • Nirmala RamanujamLee G. Wilke
    • G01J1/58G01N21/01
    • G01N21/4738
    • The subject matter described herein includes an optical assay system for intraoperative assessment of tumor margins. According to one aspect, the subject matter described herein includes a biological sample containment and illumination apparatus for holding a biological sample for illumination by a plurality of electromagnetic radiation probes. The biological sample containment and illumination apparatus includes a plurality of frame members positioned with respect to each other to form an interior space for receiving a biological sample. At least one of the plurality of frame members includes a plurality of probe receiving locations for receiving a plurality of electromagnetic radiation probes. The probe receiving locations position the probes with respect to the biological sample to allow illumination of plural locations of the biological sample by the probes.
    • 本文所述的主题包括用于术中评估肿瘤边缘的光学测定系统。 根据一个方面,本文所述的主题包括用于通过多个电磁辐射探针保持用于照明的生物样品的生物样品容纳物和照明装置。 生物样品容纳和照明装置包括相对于彼此定位的多个框架构件,以形成用于接收生物样品的内部空间。 多个框架构件中的至少一个包括用于接收多个电磁辐射探针的多个探针接收位置。 探针接收位置使探针相对于生物样品定位,以允许通过探针照射生物样品的多个位置。
    • 9. 发明授权
    • Optical assay system for intraoperative assessment of tumor margins
    • 用于术中评估肿瘤边缘的光学测定系统
    • US07751039B2
    • 2010-07-06
    • US11729967
    • 2007-03-29
    • Nirmala RamanujamLee G. Wilke
    • Nirmala RamanujamLee G. Wilke
    • G01N21/01
    • G01N21/4738
    • The subject matter described herein includes an optical assay system for intraoperative assessment of tumor margins. According to one aspect, the subject matter described herein includes a biological sample containment and illumination apparatus for holding a biological sample for illumination by a plurality of electromagnetic radiation probes. The biological sample containment and illumination apparatus includes a plurality of frame members positioned with respect to each other to form an interior space for receiving a biological sample. At least one of the plurality of frame members includes a plurality of probe receiving locations for receiving a plurality of electromagnetic radiation probes. The probe receiving locations position the probes with respect to the biological sample to allow illumination of plural locations of the biological sample by the probes.
    • 本文所述的主题包括用于术中评估肿瘤边缘的光学测定系统。 根据一个方面,本文所述的主题包括用于通过多个电磁辐射探针保持用于照明的生物样品的生物样品容纳物和照明装置。 生物样品容纳和照明装置包括相对于彼此定位的多个框架构件,以形成用于接收生物样品的内部空间。 多个框架构件中的至少一个包括用于接收多个电磁辐射探针的多个探针接收位置。 探针接收位置使探针相对于生物样品定位,以允许通过探针照射生物样品的多个位置。