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量化皮肤皮质肌肌炎:一种基于3D图像的新方法

Nantakarn Pongtarakulpanit1, Anuradha Bishnoi2, Tanya Chandra3

  • 1N. Pongtarakulpanit, MD, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA, and Division of Allergy, Immunology and Rheumatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

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这项研究表明,3D成像是评估皮肤肌肉炎 (DM) 皮肤疾病活动的有效和响应性工具. 从3D图像衍生出的皮疹测量准确地预测疾病严重程度的得分.

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一个3D图像的3D图像.皮肤皮质肌肉炎疾病区域和严重程度指数 (CDASI)皮肤肌肉炎 (dermatomyositis) 是一种疾病.疾病活动的疾病活动.皮疹评估评估 皮疹评估

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科学领域:

  • 皮肤病学 皮肤病学
  • 医疗成像医学成像
  • 类风湿病学 类风湿病学

背景情况:

  • 在皮肤肌炎 (DM) 中视觉皮肤病变的评估是主观的,并且在临床医生之间有所不同.
  • 需要客观可靠的方法来量化DM的皮肤疾病活性.

研究的目的:

  • 评估使用3D成像用于评估DM皮肤皮疹活动的可行性.
  • 为了确定基于3D图像的疾病活动评分 (3DAS) 的有效性和响应性.

主要方法:

  • 一项涉及27名DM患者的前性研究,使用皮肤皮质肌肉炎疾病区域和严重程度指数 (CDASI) 和3D成像进行评估.
  • 基于皮疹区域和红斑,计算了3D图像疾病活动评分 (3DAS).
  • 斯皮尔曼相关性和通用线性回归分析了3DAS,CDASI和患者报告结果之间的关系.

主要成果:

  • 3DAS显示了强大的构造有效性,与CDASI (r=0.83) 和患者报告的结果高度相关.
  • 3D图像衍生出的皮疹区域和红色显著预测了CDASI得分.
  • 3DAS表现出强烈的响应性,变化与CDASI得分变化相关 (r=0.61).

结论:

  • 3D成像为评估DM皮肤皮疹提供了有效和响应的方法.
  • 对皮疹特征的3D图像分析可以可靠地预测CDASI测量的疾病严重程度.