在远程美学医学中捕获最佳移动二维面部图像 临床试验:面部严重性分析的技术考虑
Damon Caiazza1, Scott Kreutzkamp1
1AbbVie, 2525 Dupont Drive, Irvine, CA, 92612, United States, 1 614-946-7245.
JMIR formative research
|January 28, 2026
概括
在美学试验中移动应用程序的图像捕捉产生了高质量的结果,与面对面的评估相提并论. 这项技术可以降低成本,并改善患者参与临床研究.
科学领域:
- 审美医学是一种美学医学.
- 医学成像技术 医学成像技术
- 临床试验方法论 临床试验方法论
背景情况:
- 移动设备自拍图像为美学临床试验提供了潜在的好处,包括减少临床资源负担,提高数据质量和增加参与者可访问性.
- 目前的方法往往需要专门的设备和亲自访问,这给参与者和试验管理带来了挑战.
研究的目的:
- 开发和评估一款为参与者设计的移动设备应用程序,以便参与者为审美临床试验自拍临床可用图像.
- 该应用程序旨在指导用户通过提供关于距离,头部位置和面部表情的指令来捕捉高质量的面部图像.
主要方法:
- 开发了具有自动捕捉功能的Allergan Aesthetic移动图像应用程序.
- 图像质量与Canfield VISIA-CR系统的比较,使用盲人/无参考图像空间质量评估仪 (BRISQUE) 度量.
- 通过横侧线 (LCL) 和额头线 (FHL) 严重程度等级的inter-和intrarater变异性来评估临床效用.
- 基于ISO/IEC 250101标准的可用性评估.
主要成果:
- 与坎菲尔德VISIA-CR (34.47) 和坎菲尔德移动应用 (23.43) 相比,Allergan Aesthetic应用产生了质量优越的图像 (较低的BRISQUE分数:14.05-19.81).
- 图像分辨率足以用于更大的面部结构,如额头线 (FHL),在自然光下表现最好.
- 在面对面和基于应用程序的评估之间,LCL和FHL严重程度评级的Interrater可靠性显示出实质性至几乎完美的一致性 (ICC 0.61-1.00).
- 可用性评级表明,应用程序的体验总体上很容易,很愉快,参与者可能会完成会议.
结论:
- 阿勒根美学移动图像应用程序始终提供高质量的图像,适合评估LCL和FHL,结果与面对面的评估很好地一致.
- 移动自拍技术可以有效地降低成本,克服参与美学临床试验的障碍.
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