...
首页> 外文期刊>Scandinavian journal of gastroenterology. >Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis software
【24h】

Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis software

机译:使用自动荧光成像系统和新型颜色强度分析软件实时计算机辅助诊断小直粒异形息肉

获取原文
获取原文并翻译 | 示例

摘要

Objectives: An endoscopic technique that provides >90% negative predictive value (NPV) for differentiating neoplastic polyps is needed for the management of diminutive (<5 mm) rectosigmoid polyps. This study aimed to assess whether a newly developed software can achieve >90% NPV for differentiating rectosigmoid diminutive polyps based on the green-to-red (G/R) ratio, obtained by dividing the green color tone intensity by the red color tone intensity on autofluorescence imaging (AFI). Methods: From December 2017 to May 2018, consecutive patients with known polyps who were scheduled for endoscopic treatment at our institution were prospectively recruited. All colorectal diminutive polyps were differentiated by computer-aided diagnosis using autofluorescence imaging (CAD-AFI) using a novel software-based automatic color intensity analysis; subsequent diagnosis was made by endoscopists based on trimodal imaging endoscopy (TME), which combines AFI, white-light imaging (WLI) and magnifying narrow-band imaging (M-NBI) findings. Thereafter, all polyps were removed endoscopically, and the histopathological diagnosis was evaluated. Results: Ninety-five patients with 258 diminutive rectosigmoid polyps and 171 diminutive non-recto-sigmoid polyps were enrolled. Regarding diminutive rectosigmoid polyps, the NPV for differentiating neoplastic polyps was 93.4% (184/197) [95% confidence interval (Cl), 89.0%-96.4%] with CAD-AFI and 94.9% (185/195) (95% Cl, 90.8%-97.5%) with TME. The accuracy, sensitivity, specificity, and positive predictive value for differentiating diminutive rectosigmoid neoplastic polyps by CAD-AFI were 91.5%, 80.0%, 95.3% and 85.2%, respectively. Conclusions: Real-time CAD-AFI was effective for differentiating diminutive rectosigmoid polyps. This objective technology, which does not require extensive training or endoscopic expertise, can contribute to the effective management of diminutive rectosigmoid polyps.
机译:目的:提供一种用于分化肿瘤息肉的> 90%的阴性预测值(NPV)的内窥镜技术,用于管理小(<5mm)直肠果皮息肉。本研究旨在评估新开发的软件是否可以基于绿色色调强度通过划分红色色调强度来差异地实现> 90%的NPV来实现> 90%NPV,以通过划分绿色色调强度通过红色色调强度除以红色颜色强度关于自发荧光成像(AFI)。方法:从2017年12月到2018年5月,前瞻性地招募了在我们所在机构安排用于内窥镜治疗的已知息肉的连续患者。使用新型软件的自动颜色强度分析,通过计算机辅助诊断(CAD-AFI)通过计算机辅助诊断来差异化所有结肠直肠小息肉;基于Trimodal成像内窥镜(TME)的内窥镜师进行后续诊断,其结合了AFI,白光成像(WLI)和放大窄带成像(M-NBI)的发现。此后,内窥镜上除去所有息肉,并评估组织病理学诊断。结果:九十五名患有258例小型矫正物息肉的患者和171例递减非直接 - 乙状样蛋白息肉。关于矫肌小蛋白息肉,用于区分肿瘤息肉的NPV为93.4%(184/197)[95%置信区间(CL),89.0%-96.4%,CAD-AFI和94.9%(185/195)(95%CL含有TME的90.8%-97.5%)。通过CAD-AFI分化小型直肠瘤肿瘤息肉的准确性,敏感性,特异性和阳性预测值分别为91.5%,80.0%,95.3%和85.2%。结论:实时CAD-AFI对于区分小型矫正物息肉有效。这项目标技术不需要广泛的培训或内窥镜专业知识,可以有助于液体液体息肉的有效管理。

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