增强单面照片在登革热感染和流感诊断中的应用

Manote Arpornsuwan, Matinun Arpornsuwan
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引用次数: 5

摘要

通过PC程序和智能手机应用,Manote和Matinun (M&M)技术可以检测和显示登革热感染和流感患者的不可见面部潮红。这种独特的面部潮红模式为登革热感染和流感的诊断提供了线索。通过智能手机拍照app采集单面照片,分析登革热感染和流感患者面部潮红区域与其他原因的对比,并将增强单面照片作为登革热感染和流感诊断的新型筛查工具。根据其他病因、登革热病因、甲型流感病因和乙型流感病因,将急性发热性疾病患者分为4组。单张脸的照片是用岩石艺术增强器应用程序,使用Android智能手机在3个步骤修改从Manote和Matinun技术,并进一步分析与彩色检查器3D插件的ImageJ程序。将面部潮红区域分为无潮红、局部潮红和全身潮红3类。对面部潮红面积进行分析,计算主要和次要面部潮红面积(1个FFA和2个FFA)的百分比。3步改良Manote和Matinun技术对登革热、甲型流感和乙型流感组所有检测的敏感性或“真阳性率”为96.8%(所有患者为94.2%)。97.8%的登革组(占登革患者的94.7%)检出局域或全局性潮红。在主要面部潮红区(1个FFA)和次要面部潮红区(2个FFA)中,有助于区分登革热和流感与登革热或流感的上限分界点分别约为20%和9%。虽然登革热(66.7%)高于流感(50%),但我们不能区分登革热和流感,取决于两种不同的面部潮红模式(无统计学差异,P = 0.09)。增强单面照片与3步改良Manote & Matinun技术是有用的作为一种新的筛选工具,以区分其他原因的急性发热性疾病从登革热感染和流感。主要面部潮红区域(1个FFA)和次要面部潮红区域(2个FFA)的上限分界点有助于识别和诊断登革热感染或流感。由于它是有用和有效的,而且经济和可获得的,因此它应该适合作为诊断登革热感染和流感的一种新的筛查工具,包括用于未来的远程医疗应用。关键词⸻面部潮红,登革热感染,流感,面部照片,智能手机应用,岩石艺术增强器应用,筛选工具,远程医疗
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the Enhanced Single Face Photo as a Novel Screening Tool for Diagnosis of Dengue Infection and Influenza
The invisible facial flushing in dengue infection and influenza can be detected and visible by the Manote and Matinun (M&M) technique using PC program and smartphone app. The unique patterns of facial flushing provide a clue to the diagnosis of dengue infection and influenza. To analyze the facial flushing areas in dengue infection and influenza compared with other causes from the single face photo by smartphone camera app and apply the enhanced single face photo as a novel screening tool for diagnosis of dengue infection and influenza. The patients with acute febrile illness were classified into 4 groups of different underlying causes as other causes, dengue, influenza A and influenza B respectively. The single face photo was enhanced with the Rock Art Enhancer app using for Android smartphone in 3 steps modified from the Manote and Matinun technique and further analyzed with the ImageJ program with Color Inspector 3D plugin. The patterns of the facial flushing areas were differentiated into 3 categories, as no facial flushing, localized facial flushing and generalized facial flushing. The analysis of the facial flushing areas was calculated in percents of primary and secondary facial flushing areas (1 FFA and 2 FFA). The sensitivity or "true positive rate" of 3 steps modified Manote and Matinun technique for all tests in dengue, influenza A and influenza B group is 96.8% (94.2% for all patients). The 97.8% of dengue group tests (94.7% for of dengue patients) could be detected the facial flushing either localized or generalized pattern. The upper cut-off points that helps distinguish from neither dengue nor influenza to either dengue or influenza is approximately 20% and 9% in the primary facial flushing areas (1 FFA) and the secondary facial flushing areas (2 FFA) respectively. Although the generalized facial flushing patterns were found in dengue (66.7%) more than in influenza (50%), but we could not distinguish between dengue and influenza, depending on two different patterns of facial flushing (no statistically significant differences, P = 0.09). The enhanced single face photo with 3 steps modified Manote & Matinun technique is useful as a novel screening tool to distinguish other causes of acute febrile illness from both dengue infection and influenza. The upper cut-off points in both primary facial flushing areas (1 FFA) and the secondary facial flushing areas (2 FFA) help for the recognition and diagnosis either dengue infection or influenza. Because it is useful and effective as well as economical and available so it should be suitable for a novel screening tool in the diagnosis of dengue infection and influenza, including for the application of telemedicine in the future. Keywords⸻ Facial Flushing, Dengue infection, Influenza, Face photo, Smartphone Application, Rock Art Enhancer App, Screening tool, Telemedicine
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