| Literature DB >> 28856014 |
Marcin Strzelczyk1, Michał Podgórski1, Susan Afshari2, Marcin Tkaczyk2, Monika Pawlak-Bratkowska2, Piotr Grzelak1.
Abstract
INTRODUCTION: The most common hereditary kidney condition is autosomal dominant polycystic kidney disease. It is the cause of 5-10% of end-stage renal disease. Its symptoms are generally late-onset, typically leading to development of hypertension and chronic kidney disease. Ultrasonography is the imaging modality of choice in its diagnosis and management. The aim of this study is to determine the diagnostic value of grayscale ultrasound imaging in evaluating disease severity.Entities:
Keywords: B-mode; autosomal dominant polycystic kidney disease; children; ultrasound
Year: 2017 PMID: 28856014 PMCID: PMC5516076 DOI: 10.15557/JoU.2017.0011
Source DB: PubMed Journal: J Ultrason ISSN: 2084-8404
Fig. 1Multiple kidney cysts (c) in a patient with ADPKD, renal parenchyma (asterisk) has increased echogenicity, corticomedullary differentiation is not discernible
Fig. 2Grayscale ultrasound image of a kidney (in the coronal plane) in patient with ADPKD, white arrow shows a hyperechoic, thin layer of the renal cortex
Comparison of ultrasound characteristics between two kidneys
| Parameters | Right kidney ( | Left kidney ( | ||
|---|---|---|---|---|
| Number of cysts [ | <10 | 22 (27.16) | 22 (27.16) | 0.9810 |
| 10–20 | 20 (24.69) | 19 (23.46) | ||
| >20 | 39 (48.15) | 40 (49.38) | ||
| Degree of parenchymal dysfunction [ | 0 | 34 (41.98) | 31 (38.27) | 0.8798 |
| 1 | 19 (23.46) | 21 (25.93) | ||
| 2 | 28 (34.57) | 29 (35.80) | ||
| Parenchyma thickness [mm; median (IQR)] | 13 (8–16) | 13 (10–16) | 0.8352 | |
| IQR – interquartile range | ||||
Distribution of parenchymal dysfunction between patients with different numbers of large cysts
| Parameters | Degree of parenchymal dysfunction [ | |||
|---|---|---|---|---|
| 0 | 1 | 2 | ||
| Number of cysts (≥10 mm in diameter) | <10 | 42 (64.62) | 2 (5.00) | 0 (0.00) |
| 10–20 | 9 (13.85) | 23 (57.50) | 7 (12.28) | |
| >20 | 14 (21.54) | 15 (37.50) | 50 (87.72) | |
Results of post-hoc tests for evaluation of the differences in creatinine level and creatinine clearance among patients with 3 degrees of parenchymal dysfunction
| Degree of parenchymal dysfunction | 0 | 1 | 2 | |
|---|---|---|---|---|
| Creatinine level [mg/d] (median and IQR) | 0.86 (0.76–0.92) | 1.3 (1.07–1.39) | 1.51 (1.33–2.34) | |
| 0 | 0.86 (0.76–0.92) | − | 0.0002 | 0.0001 |
| 1 | 1.3 (1.07–1.39) | 0.0002 | − | 0.0003 |
| 2 | 1.51 (1.33–2.34) | 0.0001 | 0.0003 | − |
| Creatinine clearance [mL/min/1.73 m2] (median and IQR) | 88.3 (65.0–97.0) | 70.0 (50.0–86.0) | 48.0 (35.0–59.0) | |
| 0 | 88.3 (65.0–97.0) | − | 0.0023 | 0.0001 |
| 1 | 70.0 (50.0–86.0) | 0.0023 | − | 0.0003 |
| 2 | 48.0 (35.0–59.0) | 0.0001 | 0.0003 | − |
Fig. 3Correlations between kidney function and sonographic signs of parenchymal dysfunction
Analysis of regression for kidney function parameters
| Parameter | Creatinine level | Creatinine clearance | ||
|---|---|---|---|---|
| B | B | |||
| Number of cysts | 0,1663 | 0,0311 | 6,1849 | 0,0256 |
| Degree of parenchymal dysfunction | 0,4078 | 0,0000 | −15,2521 | 0,0000 |
| 0,3604 | 0,1790 | |||
| B – regression coefficient; | ||||
Fig. 4Correlations between kidney function and the number of large cystic lesions in the kidneys