Table-4.
Results of ROC curve analysis of all kidney size parameters.
Imaging parameters | ROC curve analysis | Cutoff value | Percentage sensitivity (CI 95%) | Percentage specificity (CI 95%) | ||
---|---|---|---|---|---|---|
|
|
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AUC (95% CI) | p-value | Type | cutoff | |||
Radiography | ||||||
Average kidney length (cm) | 0.68 (0.487–0.873) | 0.093 | Optimal sensitivity | 3.85 | 60 (32–84) | 73 (45–92) |
Maximum specificity | 3.48 | 20 (4–48) | 93 (68–100) | |||
K/L2 ratio | 0.77 (0.604–0.938) | <0.05 | Optimal sensitivity | 2.27 | 67 (33–88) | 73 (45–92) |
Maximum specificity | 2.04 | 47 (21–73) | 93 (68–100) | |||
Ultrasonography | ||||||
Average kidney length (cm) | 0.72 (0.532–0.908) | <0.05 | Optimal sensitivity | 3.53 | 67 (38–88) | 73 (45–92) |
Maximum specificity | 3.06 | 20 (4–48) | 93 (68–100) | |||
K/AO ratio | 0.87 (0.746–0.997) | <0.001 | Optimal sensitivity | 10.71 | 80 (52–96) | 80 (52–96) |
Maximum specificity | 9.99 | 60 (32–84) | 93 (68–100) |
ROC=Receiver operating characteristic, CI=Confidence interval, AUC=Area under the curve, K/AO=Kidney length-to-abdominal aortic diameter, K/L2=Kidney length-to-second lumbar length ratio. Receiver operator characteristic analysis was used to identify optimal cut off values. Optimal sensitivity cut off value was determined with the Youden index and likelihood ratio. Maximum specificity cut off value with near 100% specificity