In Planchamp 2022 et al., on imaging-based AAI diagnosis, which measurement had the highest diagnostic accuracy in both head positions?
A. Ventral compression index (VCI)
B. C1-C2 overlap
C. Basion-dens interval
D. Cranial translation ratio (CTR)
E. Power ratio
Answer: Ventral compression index (VCI)
Explanation: The VCI had 100% sensitivity and >94% specificity in both flexed and extended positions, with AUCs near 1.0.
In Planchamp 2022 et al., on imaging-based AAI diagnosis, what cranial translation ratio (CTR) cutoff identified potentially unstable dogs?
A. ≥0.10
B. ≥0.12
C. ≥0.15
D. ≥0.18
E. ≥0.22
Answer: ≥0.18
Explanation: A CTR ≥0.18 classified dogs as potentially unstable (sensitivity 90.48%, specificity 78.08%).
In Planchamp 2022 et al., on imaging-based AAI diagnosis, which measurement best differentiated potentially unstable dogs from AAI-affected dogs?
A. Power ratio
B. Basion-dens interval
C. C1-C2 angle
D. Ventral compression index (VCI)
E. Clivus canal angle
Answer: Ventral compression index (VCI)
Explanation: VCI ≥0.23 had a sensitivity of 93.75% and specificity of 94.44% to distinguish AAI from potentially unstable dogs.
In Planchamp 2022 et al., on imaging-based AAI diagnosis, what was the reported specificity of VCI ≥0.16 in extension for diagnosing AAI?
A. 84.3%
B. 89.7%
C. 92.1%
D. 94.5%
E. 98.6%
Answer: 94.5%
Explanation: VCI ≥0.16 in extension had 100% sensitivity and 94.54% specificity.
In Planchamp 2022 et al., on imaging-based AAI diagnosis, what was the cutoff value of the VCI in dogs imaged in flexion?
A. ≥0.10
B. ≥0.16
C. ≥0.20
D. ≥0.30
E. ≥0.40
Answer: ≥0.20
Explanation: VCI ≥0.20 in flexion yielded 100% sensitivity and 96.67% specificity for diagnosing AAI.
