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开发和验证用于测量外周距离的半自动化工具
Jeffrey C Peterson1, George R Nahass1,2, Claudia Lasalle2
1Illinois Eye and Ear Infirmary, Department of Ophthalmology, University of Illinois at Chicago, Chicago, Illinois.
Ophthalmology science
|September 8, 2025
概括
一个新的半自动化工具OrbitJ,为患有 palatal cleft综合征的患者提供可靠的围绕轨道测量,与手动方法相比. 与手动技术相比,这种方法显著减少了测量时间.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 计算机视觉 计算机视觉
背景情况:
- 精确的周围轨道测量对于诊断和监测裂综合征患者的情况至关重要.
- 现有的围绕轨道测量方法可能耗时且缺乏可重现性.
研究的目的:
- 为了验证基于自定义FIJI (ImageJ) 的程序OrbitJ,进行可重复和更快的围绕轨道测量.
- 将OrbitJ的性能与两个基于人工智能的工具 (OrbitMap和PeriOrbitAI) 和手动测量进行比较.
主要方法:
- 进行了技术验证和方法比较研究的联合研究.
- 半自动化工具OrbitJ是使用FIJI (ImageJ) 来开发的,用于从45张患者照片中进行围绕轨道测量.
- 与手动测量和两个自动化AI工具 (OrbitMap,PeriOrbitAI) 进行了比较,使用错误,可靠性和相关性等指标.
主要成果:
- OrbitJ显示出高可靠性和与手动测量相关性 (ICC,皮尔森相关系数>0.8).
- 自动化工具OrbitMap和PeriOrbitAI显示出可变的可靠性,而PeriOrbitAI的表现不佳.
- 与手动测量 (13.4 ± 4 分钟) 相比,OrbitJ显著减少了测量时间 (5.4 ± 1.9 分钟).
结论:
- 半自动化OrbitJ工具提供可靠的围绕轨道测量,与手动方法相比.
- 与手动测量相比,OrbitJ和OrbitMap可以大大节省时间.
- 人工智能工具显示出潜力,但需要进一步开发,以便在围绕轨道分析中保持一致的可靠性.
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