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首页> 外文会议>Therapeutics and Diagnostics in Urology: Lasers, Robotics, Minimally Invasive, and Advanced Biomedical Devices >Multimodal fiber-probe spectroscopy for the diagnostics and classification of bladder tumors
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Multimodal fiber-probe spectroscopy for the diagnostics and classification of bladder tumors

机译：多峰纤维探针光谱法用于膀胱肿瘤的诊断和分类

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摘要

The gold standard for the detection of bladder cancer is white light cystoscopy, followed by an invasive biopsy and pathological examination. Tissue pathology is time consuming and often prone to sampling errors. Recently, optical spectroscopy techniques have evolved as promising techniques for the detection of neoplasia. The specific goal of this study is to evaluate the application of combined auto-fluorescence (excited using 378 nm and 445 nm wavelengths) and diffuse reflectance spectroscopy to discriminate normal bladder tissue from tumor at different grades. The fluorescence spectrum at both excitation wavelengths showed an increased spectral intensity in tumors with respect to normal tissues. Reflectance data indicated an increased reflectance in the wavelength range 610 nm - 700 nm for different grades of tumors, compared to normal tissues. The spectral data were further analyzed using principal component analysis for evaluating the sensitivity and specificity for diagnosing tumor. The spectral differences observed between various grades of tumors provides a strong genesis for the future evaluation on a larger patient population to achieve statistical significance. This study indicates that a combined spectroscopic strategy, incorporating fluorescence and reflectance spectroscopy, could improve the capability for diagnosing bladder tumor as well as for differentiating tumors in different grades.
机译：检测膀胱癌的金标准是白光膀胱镜检查，然后进行侵入性活检和病理检查。组织病理学非常耗时，并且经常容易出现采样错误。近来，光谱技术已经发展为用于检测赘生物的有前途的技术。这项研究的具体目标是评估组合自动荧光（使用378 nm和445 nm波长激发）和漫反射光谱的应用，以区分正常膀胱组织与不同级别的肿瘤。相对于正常组织，在两个激发波长处的荧光光谱显示出在肿瘤中的光谱强度增加。反射率数据表明，与正常组织相比，不同等级的肿瘤在610 nm-700 nm波长范围内的反射率增加。使用主成分分析法进一步分析光谱数据，以评估诊断肿瘤的敏感性和特异性。在不同等级的肿瘤之间观察到的光谱差异为将来对更大的患者群体进行评估以实现统计学意义提供了强大的起源。这项研究表明，结合荧光和反射光谱技术的组合光谱策略可以提高诊断膀胱肿瘤以及区分不同级别肿瘤的能力。

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  • 会议地点 San Francisco(US)
  • 作者

    Suresh Anand; Riccardo Cicchi; Riccardo Fantechi; Mauro Gacci; Gabriella Nesi; Marco Carini; Francesco S. Pavone;

  • 作者单位

    National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy;

    National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy;

    Division of Urology, Department of Surgical and Medical Critical Area, University of Florence, Florence, I-50100, Italy;

    Division of Urology, Department of Surgical and Medical Critical Area, University of Florence, Florence, I-50100, Italy;

    Division of Pathology, Department of Surgical and Medical Critical Area, University of Florence, Florence I-50100, Italy;

    Division of Urology, Department of Surgical and Medical Critical Area, University of Florence, Florence, I-50100, Italy;

    European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy,National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara, 1 - 50019, Sesto Fiorentino, Italy,Department of Physics, University of Florence, Via Giovanni Sansone 1 - 50019, Sesto Fiorentino, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bladder tumor; fluorescence; diffuse reflectance; principal component analysis;

    机译：膀胱肿瘤荧光漫反射率主成分分析;

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