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Development of Standard Digital Images for Pneumoconiosis

机译:尘肺病标准数字图像的开发

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摘要

We developed the standard digital images (SDIs) to be used in the classification and recognition of pneumoconiosis. From July 3, 2006 through August 31, 2007, 531 retired male workers exposed to inorganic dust were examined by digital (DR) and analog radiography (AR) on the same day, after being approved by our institutional review board and obtaining informed consent from all participants. All images were twice classified according to the International Labour Office (ILO) 2000 guidelines with reference to ILO standard analog radiographs (SARs) by four chest radiologists. After consensus reading on 349 digital images matched with the first selected analog images, 120 digital images were selected as the SDIs that considered the distribution of pneumoconiosis findings. Images with profusion category 0/1, 1, 2, and 3 were 12, 50, 40, and 15, respectively, and a large opacity were in 43 images (A = 20, B = 22, C = 1). Among pleural abnormality, costophrenic angle obliteration, pleural plaque and thickening were in 11 (9.2%), 31 (25.8%), and 9 (7.5%) images, respectively. Twenty-one of 29 symbols were present except cp, ef, ho, id, me, pa, ra, and rp. A set of 120 SDIs had more various pneumoconiosis findings than ILO SARs that were developed from adequate methods. It can be used as digital reference images for the recognition and classification of pneumoconiosis.
机译:我们开发了用于分类和识别尘肺的标准数字图像(SDI)。从2006年7月3日到2007年8月31日,经过我们机构审查委员会的批准并征得我们的知情同意后,当天对531名退休的暴露于无机尘埃的男性工人进行了数字(DR)和模拟射线照相(AR)检查。所有参与者。根据国际劳工局(ILO)2000指南,参照四位胸部放射科医生参考国际劳工组织的标准模拟X射线照片(SAR),对所有图像进行了两次分类。在对与最初选择的模拟图像匹配的349幅数字图像进行共识读取后,选择了120幅数字图像作为考虑了尘肺病发现分布的SDI。大量类别为0 / 1、1、2和3的图像分别为12、50、40和15,并且在43张图像中具有较大的不透明度(A = 20,B = 22,C = 1)。在胸膜异常中,分别有11幅(9.2%),31幅(25.8%)和9幅(7.5%)图像的肋间角闭塞,胸膜斑块和增厚。除了cp,ef,ho,id,me,pa,ra和rp外,还存在29个符号中的21个。一组120个SDI的尘肺病发现要比采用适当方法开发的ILO SAR更为广泛。它可用作识别和分类尘肺的数字参考图像。

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