Rivas Alejandro, Cakir Ahmet, Hunter Jacob B, Labadie Robert F, Zuniga M Geraldine, Wanna George B, Dawant Benoit M, Noble Jack H
*Department of Electrical Engineering and Computer Science, Vanderbilt University †Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Otol Neurotol. 2017 Mar;38(3):339-346. doi: 10.1097/MAO.0000000000001329.
Cochlear duct length (CDL) can be automatically measured for custom selection of cochlear implant (CI) electrode arrays.
CI electrode array selection can be influenced by measuring the CDL, which is estimated based on the length of the line that connects the round window and the lateral wall of the cochlea when passing through the modiolus. CDL measurement remains time consuming and inter-observer variability has not been studied.
We evaluate an automatic approach to directly measure the two-turn (2T) CDL using existing algorithms for localizing cochlear anatomy in computed tomography (CT). Pre-op CT images of 309 ears were evaluated. Two fellowship-trained neurotologists manually and independently measured CDL. Inter-observer variability between measurements across expert and automatic observers is assessed. Inter-observer differences for choice of electrode type are also investigated.
Manual measurement of CDL by experts tends to underestimate cochlea size and has high inter-observer variability, with mean absolute differences between expert CDL estimations of 1.15 mm. Our results show that this can lead to a large number of cochleae for which a different electrode array type would be selected by different observers, depending on the specific threshold value of CDL used to decide between array type.
Choosing the best CI electrode array is an important task for optimizing hearing outcomes. Manual cochleae length measurements are user-dependent, and errors impact upon the CI electrode array choice for certain patients. Measuring cochlea length automatically is less time consuming and generates more repeatable results. Our automatic approach could make use of CDL for patient-customized treatment more clinically adoptable.
可以自动测量蜗管长度(CDL),以便为人工耳蜗(CI)电极阵列进行定制选择。
CI电极阵列的选择可受CDL测量的影响,CDL是根据穿过蜗轴时连接圆窗和耳蜗外侧壁的线的长度估算得出的。CDL测量仍然耗时,且尚未研究观察者间的变异性。
我们评估了一种使用现有计算机断层扫描(CT)中蜗管解剖结构定位算法直接测量两圈(2T)CDL的自动方法。对309只耳的术前CT图像进行了评估。两名经过专科培训的神经耳科医生手动并独立测量CDL。评估了专家观察者与自动测量观察者之间测量结果的观察者间变异性。还研究了电极类型选择的观察者间差异。
专家手动测量CDL往往会低估耳蜗大小,且观察者间变异性较高,专家CDL估计值之间的平均绝对差异为1.15毫米。我们的结果表明,这可能导致大量耳蜗,不同观察者会根据用于决定阵列类型的CDL特定阈值选择不同的电极阵列类型。
选择最佳的CI电极阵列是优化听力结果的一项重要任务。手动测量耳蜗长度依赖于使用者,并且误差会影响某些患者的CI电极阵列选择。自动测量耳蜗长度耗时较少,且产生的结果更具可重复性。我们的自动方法可以使基于CDL的患者定制治疗在临床上更具可采用性。