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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

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dc.contributor.author김도경-
dc.contributor.author김종찬-
dc.contributor.author이주용-
dc.contributor.author정두용-
dc.contributor.author정해도-
dc.contributor.author조강수-
dc.date.accessioned2019-05-29T05:14:34Z-
dc.date.available2019-05-29T05:14:34Z-
dc.date.issued2019-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/169480-
dc.description.abstractWe analyzed the capacities of pertinent parameters (determined by single-energy non-contrast computed tomography [NCCT]) and urinary pH to predict uric acid stones. We reviewed the medical records of 501 patients whose stones were removed surgically or passed spontaneously between December 2014 and April 2016. Qualifying participants (n = 420) were stratified by the nature of the stone (calcium oxalate, uric acid, or infectious). Based on NCCT, we determined maximal stone length (MSL), mean stone density (MSD), and stone heterogeneity index (SHI) using Hounsfield units (HU) and calculated the variant coefficient of stone density (VCSD = SHI/MSD × 100). Urinary pH was also ascertained. Mean patient age was 55.55 ± 15.46 years. MSD (448.59 ± 173.21 HU), SHI (100.81 ± 77.37 HU), and VCSD (22.58 ± 10.55) proved to be significantly lower in uric acid versus other types of stones, as did urinary pH (5.33 ± 0.56; all p < 0.001). Receiver operating characteristic (ROC) curves depicting predictability of uric acid stones yielded area under ROC curve (AUC) values for MSD, SHI, VCSD, and urinary pH of 0.806 (95% CI: 0.761⁻0.850), 0.893 (95% CI: 0.855⁻0.931), 0.782 (95% CI: 0.726⁻0.839), and 0.797 (95% CI: 0.749⁻0.846), respectively, with corresponding cutpoints of 572.3 HU, 140.4 HU, 25.79, and 6.0. Among these four parameters, SHI was verifiably (DeLong's test) the most effective predictor of uric acid stones (all p < 0.001). Compared with MSD, VCSD, and urinary pH, SHI may better predict uric acid stones, using a cutpoint of 140.4 HU.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.relation.isPartOfJOURNAL OF CLINICAL MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titlePredictors 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-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Urology (비뇨의학교실)-
dc.contributor.googleauthorJong Chan Kim-
dc.contributor.googleauthorKang Su Cho-
dc.contributor.googleauthorDo Kyung Kim-
dc.contributor.googleauthorDoo Yong Chung-
dc.contributor.googleauthorHae Do Jung-
dc.contributor.googleauthorJoo Yong Lee-
dc.identifier.doi10.3390/jcm8020243-
dc.contributor.localIdA05453-
dc.contributor.localIdA04541-
dc.contributor.localIdA03161-
dc.contributor.localIdA04664-
dc.contributor.localIdA03759-
dc.contributor.localIdA03801-
dc.relation.journalcodeJ03556-
dc.identifier.eissn2077-0383-
dc.identifier.pmid30781839-
dc.contributor.alternativeNameKim, Do Kyung-
dc.contributor.affiliatedAuthor김도경-
dc.contributor.affiliatedAuthor김종찬-
dc.contributor.affiliatedAuthor이주용-
dc.contributor.affiliatedAuthor정두용-
dc.contributor.affiliatedAuthor정해도-
dc.contributor.affiliatedAuthor조강수-
dc.citation.volume8-
dc.citation.number2-
dc.citation.startPageE243-
dc.identifier.bibliographicCitationJOURNAL OF CLINICAL MEDICINE, Vol.8(2) : E243, 2019-
dc.identifier.rimsid62706-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers

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