USING SERIAL TRICHOTOMIZATION WITH MULTIPLE RADIOGRAPHIC PARAMETERS TO DIAGNOSE ATLANTOAXIAL INSTABILITY IN PREDISPOSED TOY-BREED DOGS

Ya-Pei Chang, Po-Yu Chiu, Wei-Hsiang Huang, Gawain Hammond, Hsiang-Ju Chen, I-Hsuan Liu, Chen-Hsuan Liu
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Abstract

Objective radiographic measurements for determining atlantoaxial instability (AAI) in dogs have been reported. However, choosing a single optimal parameter among different studies is challenging. This study aimed to identify optimal parameters for AAI in small-breed dogs by simultaneously evaluating the flexed and nonflexed lateral radiographs. Moreover, the potential of using serial trichotomization with multiple parameters was investigated. Radiographs of 10 dogs diagnosed with AAI on magnetic resonance imaging (MRI) were compared with 26 control dogs to select parameters with the area under the curve ≥0.9 or ≤0.1. Parameters with outstanding discrimination included cranial border distance and C1–C2 angle on nonflexed radiographs and dens length on ventrodorsal radiographs. Using cutoff values reflecting 100% sensitivity and 100% specificity, the subject was determined into AAI diagnosed, ruled-out or indeterminate. The accuracy rate was 100% for each of the parameters. However, 31–47% of dogs were classified as indeterminate. Serial trichotomization in the order of dens length, cranial border distance, and C1–C2 angle significantly reduced the proportion of dogs in the uncertainty zone while maintaining accuracy. The established method was tested on 19 new subjects. A similar trend of high accuracy (100%) and small uncertainty zone (5%) was observed in the validation cohort. For certain breeds, serial trichotomization with dens length on the ventrodorsal radiograph and cranial border distance and C1–C2 angle on the nonflexed lateral radiograph showed good potential for determining AAI and identifying dogs in which advanced imaging is indicated for diagnosis.
采用系列三分术结合多种放射学参数诊断易患玩具犬寰枢椎不稳
客观的x线测量确定犬寰枢不稳定(AAI)已被报道。然而,在不同的研究中选择一个最优参数是具有挑战性的。本研究旨在通过同时评估屈曲和非屈曲侧位片来确定小品种犬AAI的最佳参数。此外,还探讨了多参数连续三分化的可能性。将10只诊断为AAI的犬的MRI x线片与26只对照犬进行对比,选择曲线下面积≥0.9或≤0.1的参数。非屈曲x线片上的颅缘距离和C1-C2角度以及腹背侧x线片上的齿突长度具有显著的鉴别性。采用反映100%敏感性和100%特异性的截止值,将受试者确定为AAI诊断、排除或不确定。每个参数的准确率为100%。然而,31-47%的狗被归类为不确定。按齿长、颅缘距离、C1-C2角度顺序进行连续三分,在保持准确性的前提下,显著降低了犬在不确定区的比例。建立的方法在19个新对象上进行了测试。在验证队列中观察到类似的高准确度(100%)和小不确定区(5%)的趋势。对于某些犬种,通过腹背侧片上的齿状体长度和非屈曲侧位片上的颅缘距离和C1-C2角度进行连续三分形,可以很好地确定AAI,并识别需要进行高级影像学诊断的犬。
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