从成像中评估CI电极位置:比较自动化技术与已建立的手动方法
Alexander Mewes1, Christopher Bennett2, Jan Dambon3
1Department of Otorhinolaryngology, Head and Neck Surgery, Universitätsklinikum Schleswig-Holstein (UKSH), Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany. alexander.mewes@uksh.de.
BMC medical imaging
|September 29, 2023
概括
使用IGCIP的自动耳植入物 (CI) 电极定位显示出有希望的结果,偏差小于人类错误. 这种图像导向编程工具在临床上全面采用,需要进行精细化.
科学领域:
- 耳神经病学 耳神经病学
- 医学成像医学成像
- 手术技术手术技术的使用
背景情况:
- 耳植入物 (CI) 电极位置的手动评估可能容易导致认知偏差的诊断错误.
- 这项研究解决了在CI手术中可靠和准确的电极放置评估的需求.
研究的目的:
- 用图像引导式耳植入物编程 (IGCIP) 对比自动化CI电极定位的准确性与已建立的手动方法.
- 为了评估标尺定位,电极到模极轴距离 (EMD) 和角插入深度 (aDOI).
主要方法:
- 这是一项前性研究,涉及50名接受Nucleus® CI532或CI632 Slim 模态电极的受试者.
- 将IGCIP自动测量与两个评分员的手动测量进行比较,以评估评分员之间的可靠性.
- 相关性分析和布兰德-阿尔特曼分析用于方法比较.
主要成果:
- 通过这两种方法,所有电极都被准确地定位在 tympani 级.
- 自动化和手动方法之间的偏差小于EMD和aDOI的interrater变化.
- 偏差与中间模块轴的不同选择有关.
结论:
- IGCIP是一个有前途的工具,用于在耳植入器中自动分析CT和DVT扫描.
- 由于其适应性参考点选择,IGCIP工具在EMD测量中比手工方法提供了优势.
- 需要进一步开发以解决运动工件和标准化aDOI测量以免受限制的临床使用.
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