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比色图像分析作为女性生殖器血吸虫病的诊断工具

Colourimetric image analysis as a diagnostic tool in female genital schistosomiasis.

作者信息

Holmen Sigve Dhondup, Kjetland Eyrun Floerecke, Taylor Myra, Kleppa Elisabeth, Lillebø Kristine, Gundersen Svein Gunnar, Onsrud Mathias, Albregtsen Fritz

机构信息

Centre for Imported and Tropical Diseases, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway.

Centre for Imported and Tropical Diseases, Oslo University Hospital, Oslo, Norway.

出版信息

Med Eng Phys. 2015 Mar;37(3):309-14. doi: 10.1016/j.medengphy.2014.12.007. Epub 2015 Jan 24.

DOI:10.1016/j.medengphy.2014.12.007
PMID:25630808
Abstract

Female genital schistosomiasis (FGS) is a highly prevalent waterborne disease in some of the poorest areas of sub-Saharan Africa. Reliable and affordable diagnostics are unavailable. We explored colourimetric image analysis to identify the characteristic, yellow lesions caused by FGS. We found that the method may yield a sensitivity of 83% and a specificity of 73% in colposcopic images. The accuracy was also explored in images of simulated inferior quality, to assess the possibility of implementing such a method in simple, electronic devices. This represents the first step towards developing a safe and affordable aid in clinical diagnosis, allowing for a point-of-care approach.

摘要

女性生殖器血吸虫病(FGS)是撒哈拉以南非洲一些最贫困地区高度流行的水传播疾病。目前尚无可靠且价格亲民的诊断方法。我们探索了比色图像分析,以识别由FGS引起的特征性黄色病变。我们发现,该方法在阴道镜图像中的灵敏度可能为83%,特异性为73%。我们还在模拟低质量图像中探究了其准确性,以评估在简单电子设备中应用这种方法的可能性。这是朝着开发一种安全且价格亲民的临床诊断辅助工具迈出的第一步,可实现即时检测。

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