An image-based scoring system as an alternative to face-to-face examination for acne vulgaris to deliver follow-up care: A comparative study

S. Shetty, Ruta Joshi, A. Kombettu, Chethana Gurumurthy, G. Kanthraj
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Abstract

Background: AV is a chronic disease with flares and remissions requiring regular follow-ups. Image-based lesion counting (LC) is useful when in-person consultations are not possible, like the COVID-19 pandemic. Objective: The aim of this study is to validate the proposed scoring system for teledermatology consultation and compare it with face to face. Materials and Methods: The face was divided into three zones which was further divided by drawing the imaginary lines from fixed points. AV (Grade 1 and 2) lesions were counted by co-investigator in person at baseline, first, and second follow-up visits. The images of the same were evaluated and scored by the principal investigator. Acne scores obtained were compared and statistically analyzed. Results: Two hundred cases were enrolled. Mean acne scores for in-person were 945.37, 647.57, and 550.81 and for teledermatology 1044.99, 718.79, and 654.36 for baseline, 1st, and 2nd follow-up, respectively. The mean decrease from baseline, 1st and 2nd follow-up, independent sample t-test and correlation analysis was significant in both groups (P = 0.001). Limitations: AV grade 3 and 4 are not included. Conclusion: During the 1st follow-up, a decrease in acne scores was observed, along with consistency in the scores between the evaluators. Image-based lesion counting is a promising approach. The proposed scoring system can be used for both modes of consultation-face-to-face and teledermatology.
基于图像的评分系统作为面对面检查寻常痤疮的替代方案,以提供后续护理:一项比较研究
背景:AV是一种慢性疾病,发作和缓解需要定期随访。当无法进行住院会诊时,如新冠肺炎大流行,基于图像的病变计数(LC)是有用的。目的:本研究的目的是验证所提出的远程皮肤科会诊评分系统,并将其与面对面的评分系统进行比较。材料和方法:将面部分为三个区域,通过从固定点绘制假想线来进一步划分。AV(1级和2级)病变由联合研究者在基线、第一次和第二次随访时亲自计数。由主要研究者对相同的图像进行评估和评分。对获得的痤疮评分进行比较和统计分析。结果:入选病例200例。在基线、第一次和第二次随访中,亲自治疗的平均痤疮得分分别为945.37、647.57和550.81,远程皮肤科的平均痤疮评分分别为1044.99、718.79和654.36。与基线、第一次和第二次随访、独立样本t检验和相关性分析相比,两组的平均下降均显著(P=0.001)。限制:不包括AV 3级和4级。结论:在第一次随访中,观察到痤疮评分下降,评估者之间的评分一致。基于图像的病变计数是一种很有前途的方法。所提出的评分系统可用于面对面咨询和远程皮肤科两种模式。
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