Individual renal unit urine sampling to identify unilateral metabolic defects
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AIMS: Preventing kidney stone recurrence relies on detecting and modifying urine chemistry abnormalities. The assumption is that an abnormality is due to a global metabolic defect present in both kidneys. However, we hypothesize that clinically significant unilateral defects may exist. We aimed to identify these patients by sampling urine from each renal unit. MATERIALS AND METHODS: Adults undergoing retrograde upper urinary tract surgery were eligible for inclusion. Excluded were patients with a solitary kidney, suspected urothelial malignancy, or urinary tract infection. Following informed consent, all patients proceeded to the operating room. After induction of anesthesia, cystoscopy with ureteral catheterization was performed with urine collected via gravity drainage for 10 minutes. Urine samples with adequate volume were analyzed for chemistry concentrations. A difference greater than the 75th percentile between matched pairs was considered significant. For urine pH, a difference of 0.5 was considered significant. RESULTS: A total of 47 patients were screened for eligibility with only 13 (28%) electing to enroll in the study (26 renal units). All subjects underwent successful bilateral ureteral catheterization with no adverse events observed or later reported. The mean (± SD) urine volume captured from the right and left renal units was 5.0 ± 7.4 cm3 and 6.6 ± 6.4 cm3, respectively. Urine was only captured from paired renal units in 8 participants (8/13; 62%). Of these 8 participants, 5 (5/8; 63%) had at least 1 unilateral metabolic defect. CONCLUSION: Unilateral renal unit urine sampling is safe and feasible. However, captured urine volumes are small and variable, but chemical analysis can still be performed. Unilateral defects in renal electrolyte handling are relatively common, but the clinical implications of these differences are still yet to be determined.
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A User-Friendly Application to Automate CT Renal Stone Measurement.

INTRODUCTION: CT is the gold standard for visualizing renal and ureteral calculi. CT three-dimensional reformatting allows for automatic, accurate, and reliable measurement of stone size, volume, density, and location. In this study, we aimed to develop and test a software platform capable of calculating a battery of clinically important urinary stone parameters at the point-of-care (POC). METHODS: The syngo Calcium Scoring (Siemens Corporation) algorithm was modified to identify calcium-based stones using an attenuation threshold (250 HU) within a region of interest. Information automatically obtained after reconstruction included voxel sum and calculated volume, maximum diameter, largest diameter in the x, y, and z planes, cumulative diameter, distribution of attenuation in HU, and position relative to the skin for calculation of the skin-to-stone distance (SSD). This algorithm was packaged into a stand-alone application (MATLAB 9.1). From April 2017 to May 2017, all patients undergoing a noncontrast CT of the abdomen or the abdomen and pelvis at the Johns Hopkins Hospital were eligible for inclusion in this validation cohort. RESULTS: A total of 55 index renal stones were included. The mean volume calculated by voxel sum was 216.53 mm3 (standard deviation [SD] ±616.19, range 1.50-4060.13). The mean volume calculated using the Ackermann's formula and for a sphere was 232.96 mm3 (SD ± 702.65, range 1.24-4074.04) and 1214.63 mm3 (SD ± 4233.41, range 1.77-25,246.40), respectively. The mean largest diameter in any one direction was 6.95 mm (SD ± 7.31, range 1.50-36.40). The maximum density of the stones ranged from 164 to 1725 HU. The mean SSD at the shortest possible point was 14.19 cm (SD ± 6.13, range 6.67-31.28). CONCLUSIONS: We developed a stand-alone platform with a simple easy-to-use interface, which will allow any user the ability to calculate a battery of clinically important urinary stone parameters from CT imaging at the POC. This program is now freely available online.