首页> 外文会议>Conference on Therapeutic Laser Applications and Laser-Tissue Interactions >Pathological Diagnosis of Bladder Cancer by Image Analysis of Hypericin Induced Fluorescence Cystoscopic Images
【24h】

Pathological Diagnosis of Bladder Cancer by Image Analysis of Hypericin Induced Fluorescence Cystoscopic Images

机译:用素诱导荧光膀胱镜图像分析膀胱癌的病理学诊断

获取原文

摘要

Photodynamic diagnosis of bladder carcinoma based on hypericin fluorescence cystoscopy has shown to have a higher degree of sensitivity for the detection of flat bladder carcinoma compared to white light cystoscopy. The potential of the photosensitizer hypericin-induced fluorescence in performing non-invasive optical biopsy to grade bladder cancer in vivo using fluorescence cystoscopic image analysis without surgical resection for tissue biopsy is investigated in this study. The correlation between tissue fluorescence and histopathology of diseased tissue was explored and a diagnostic algorithm based on fluorescence image analysis was developed to classify the bladder cancer without surgical resection for tissue biopsy. Preliminary results suggest a correlation between tissue fluorescence and bladder cancer grade. By combining both the red-to-blue and red-to-green intensity ratios into a 2D scatter plot yields an average sensitivity and specificity of around 70% and 85% respectively for pathological cancer grading of the three different grades of bladder cancer. Therefore, the diagnostic algorithm based on colorimetric intensity ratio analysis of hypericin fluorescence cystoscopic images developed in this preliminary study shows promising potential to optically diagnose and grade bladder cancer in vivo.
机译:基于金丝桃素荧光膀胱镜检查膀胱癌的光动力诊断已经显示出具有用于检测扁平膀胱癌相比白光膀胱镜更高的灵敏度。研究了使用荧光膀胱镜图像分析在体内进行非侵入性光学活组织检查在体内进行无侵入式光学活检的荧光,在本研究中研究了没有手术切除的荧光膀胱镜图像分析。探索了患病组织组织荧光与组织病理学的相关性,并开发了一种基于荧光图像分析的诊断算法,对组织活检进行外科切除的膀胱癌进行分类。初步结果表明组织荧光和膀胱癌等级之间的相关性。通过将红光和红细胞强度比与2D散点图相结合,分别为三种不同等级的膀胱癌的病理癌症分级分别为分别为约70%和85%的平均敏感性和特异性。因此,基于该初步研究中开发的基于色素荧光膀胱镜图像的比色强度分析的诊断算法表明了光学诊断和体内膀胱癌的有希望的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号