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Your search returned 6 results
from the time period: last 30 days.
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No Abstract Available
Urology (2), more mentions
No Abstract Available
Kidney international
The incidence of nephrolithiasis continues to rise... could be detected in 11.4% of individuals with adult-onset nephrolithiasis or nephrocalcinosis and in 16.7-20.8% of individuals with onset ... using gene panel sequencing of 30 genes known to cause nephrolithiasis/nephrocalcinosis... in one of 117 genes that may represent phenocopies of nephrolithiasis-causing genes was detected.
Nephrolithiasis (7), Nephrocalcinosis (6), more mentions
PloS one
AbstractText: This study sought to explore the influence of different body weight statuses on 24-hour urine compositions in adults without urolithiasis based on a nationwide study of a Chinese Han population AbstractText: Twenty-four-hour urine samples from 584 Chinese Han adults without urolithiasis in six cities were analyzed ...
Anti-Obesity and Weight Loss (13), Cardiovascular Diseases (2), Endocrine Disorders (2)
Urolithiasis (3), Diabetes Mellitus (2), Hypertension (2), more mentions
The Journal of urology
PURPOSE: Preoperative determination of uric acid stones from computed tomography (CT) imaging would be of tremendous clinical utility. We proposed to design a software algorithm that can utilize data from non-contrast CT to predict the presence of uric acid stones. MATERIALS AND METHODS: Patients with pure uric acid (UA) and calcium oxalate (CaOx) stones were identified from our stone registry. Only stones >4 mm and clearly traceable from initial CT to final composition were included. A semi-automated, computer algorithm processed the image data. Hounsfield unit (HU) averages, maximums, eccentricity (deviation from circle), and kurtosis ("peakedness" versus "flatness") were automatically generated. These parameters were examined in several mathematical models to predict presence of UA stones. RESULTS: 100 patients, 52 with CaOx and 48 with UA stones were included in the final analysis. UA stones were significantly larger (9.0 mm vs 12.2 mm, p=0.03), but CaOx stones had both higher mean (457 HU vs. 315 HU, p = 0.001), and maximum attenuations (918 vs. 553 HU, p<0.001). Kurtosis was significantly higher in both axes for calcium oxalate stones (both p < 0.001). A composite algorithm using attenuation distribution pattern, average attenuation, and stone size had an overall sensitivity of 89%, specificity of 91%, PPV 91% and NPV 89% for predicting of UA stone. CONCLUSIONS: A combination of stone size, attenuation intensity and attenuation pattern from conventional CT imaging is able to discern UA stones from CaOx stones with high sensitivity and specificity.
Emergency radiology
Patients affected with urolithiasis, HIV infection, tumors, and vascular and chronic inflammatory bowel diseases were excluded. All abdomen/pelvis CT scans carried out at our institution for over 6 years were retrospectively tallied, and the effective doses (EDs) were computed by multiplying the total dose-length product by the appropriate anatomic conversion factor.
Men's Health (2), Oncology (1)
Neoplasms (2), HIV Infections (1), Urolithiasis (1), more mentions