Prediction of Stone Composition by Non-Enhanced Computed Tomography in Urolithiasis Patients

Background and objectives: Understanding the composition of urolithiasis is crucial for effective stone management and prevention strategies. Our main objective was to determine stone composition through the analysis of Hounsfield Unit properties in pre-intervention tomography of non-contrast computed. Methods: This prospective study was about urinary tract stones and involved fifty patients who visited Sulaimani Teaching Hospital between October 2021 to October 2022. Patients underwent imaging examination using Non-Enhanced Computed Tomography. The stones density was measured in the Hounsfield unites. The stones were physically analyzed for determining chemical compositions by Infrared Spectroscopy. Results: In this research, the composition of the stone was determined using Hounsfield Units. The mean values for Calcium oxalate, Struvite, and Uric acid are 1001.85, 640.67, and 453.08, respectively. The outcomes demonstrated that there is a substantial difference among all urinary tract stone types with F statistics = 38.521, p value < 0.001 by using ANOVA. Furthermore, for validating achieved results, the Tukey honestly significant difference test was applied, and the test results indicate a significant disparity among various stone types, with a p value < 0.001. Conclusions: The study provides evidence that non-contrast computed tomography is capable of accurately distinguishing between three common types of urolithiasis using Hounsfield Unit measurements