RCT + OMT), and RCE grade were measured. RCE was classified according to the degree of distinction of the renal cortex and OM. The measurements of RL, RCT, OMT, and PT were divided by body surface area for standardization (RLS, RCTS, OMTS, and PTS, respectively). All patients were classified into the normal kidney function (N) group or the CKD (C) group using the medical recording charts. Group C was subdivided according to whether the cortex and OM were distinct or not (C-1 and C-2, respectively). The differences in eGFR between group N and C-1 and C-2 and the tendency of the structural parameters (RLS, RCTS, OMTS, and PTS) in group C were analyzed based on eGFR using SDMA and creatinine measurements. A significant difference was observed in eGFR between groups N and C (p < 0.0001). The eGFR tended to decline from group N to C-1 and C-2 (p < 0.0001, St. J-T Statistic: −4.659). As the mean RCE grade (the mean RCE grades of the left and right kidneys) increased, the proportion of cases in group C tended to increase significantly (p < 0.0001). The mean RCE grade was negatively correlated with eGFR (p < 0.001). Positive correlations were also observed between RLS and eGFR and between PTS and eGFR in group C (p < 0.05 and < 0.02, respectively). The RCE grade classified by the degree of distinction of the renal cortex and OM can be used as an objective method for evaluating RCE. Moreover, similar to human studies, renal structural parameters measured using US, including PTS and RLS, have a linear relationship with eGFR in canine CKD patients.
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Association of Renal Structural Parameters on Ultrasound with Estimated Glomerular Filtration Rate in Canine Chronic Kidney Disease