Fig 1.
A: Facial Length (FL); Cranial Length (CL); Skull Length (SL); B: Skull Width (SW); Cranial Width (CW); Bar = 1 cm.
Table 1.
Linear measures.
Table 2.
Indices.
Fig 2.
A: Latero-lateral view (LL): Facial Length (FL-LL); Cranial Length (CL-LL); Skull Length (SL); B: Dorso-ventral view (DV): Facial Length (FL-DV); Cranial Length (CL-DV); Skull Width (SW); Cranial Width (CW); Bar = 1 cm.
Fig 3.
ANOVA for anatomic and radiographic linear measures pre- and post-neural net.
Anatomic linear measures pre- (A) and post- (C) neural nets; Radiologic linear measures pre- (B) and post- (D) neural nets. Values (means±SEM) are expressed as cm. a-c Means with different letters within rows are significantly different (p<0,05). Cranial Width (CW); Cranial Length (CL); Skull Width (SW); Skull Length, (SL); Cranial Length LL (CL-LL); Cranial Length DV (CL-DV); Facial Length LL (FL-LL); Facial Length DV (FL-DV).
Table 3.
ANOVA for anatomic and radiographic indices pre- and post-neural nets (mean±SEM).
Fig 4.
Radiographic exams depicting differences in skull shape among dolichocephalic, mesaticephalic and brachycephalic newborn puppies.
Representative images of a dolichocephalic puppy (Afghan Hound A, B), a mesaticephalic puppy (Labrador Retriever C, D) and a brachycephalic puppy (Chihuahua E, F). A, C, E: Latero-lateral views; B, D, F: Dorso-ventral views. Bar = 1 cm.
Fig 5.
Bland–Altman difference plots to compare radiographic and anatomic measures.
Differences between 2 values are plotted against the mean of the 2 values. The blue solid line represents the bias (mean difference) and the red dotted lines represent the 95% limits of agreement. A: Skull Length (SL); B: Cranial Length (CL); C: Skull Width (SW); D: Cranial Width (CW).