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Inventi Impact: Urology & Nephrology

Articles

  • Inventi:hun/29248/19
    Predictors of Uric Acid Stones: Mean Stone Density, Stone Heterogeneity Index, and Variation Coefficient of Stone Density by Single-Energy Non-Contrast Computed Tomography and Urinary pH
    Research 2019 : July - September
    Jong Chan Kim, Kang Su Cho, Do Kyung Kim, Doo Yong Chung, Hae Do Jung, Joo Yong Lee

    We analyzed the capacities of pertinent parameters (determined by single-energy\nnon-contrast computed tomography [NCCT])and urinary pH to predict uric acid stones. We reviewed\nthe medical records of 501 patients whose stones were removed surgically or passed spontaneously\nbetween December 2014 and April 2016. Qualifying participants (n = 420) were stratified by the nature\nof the stone (calcium oxalate, uric acid, or infectious). Based on NCCT, we determined maximal stone\nlength (MSL), mean stone density (MSD), and stone heterogeneity index (SHI) using Hounsfield units\n(HU) and calculated the variant coefficient of stone density (VCSD = SHI/MSD *100). Urinary pH\nwas also ascertained. Mean patient age was..............

    How to Cite this Article
    Attribution/ CC Compliant Citation: Kim, Jong Chan, et al. \"Predictors of Uric Acid Stones: Mean Stone Density, Stone\nHeterogeneity Index, and Variation Coefficient of Stone Density by Single-Energy Non-Contrast Computed Tomography\nand Urinary pH.\" Journal of clinical medicine 8.2 (2019): 243.\nhttps://doi:10.3390/jcm8020243\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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