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Variation coefficient of stone density and renal cortical thickness: the parameters evaluating non-contrast computed tomography imaging for predict extracorporeal shock wave lithotripsy success.
Arikan, Yusuf; Eksi, Mithat; Sungur, Ubeyd; Yoldas, Mehmet; Keskin, Mehmet Zeynel.
Afiliação
  • Arikan Y; Department of Urology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey. dryusufarikan@gmail.com.
  • Eksi M; Department of Urology, University of Health Sciences, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Sungur U; Department of Urology, University of Health Sciences, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Yoldas M; Department of Urology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey.
  • Keskin MZ; Department of Urology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey.
Urolithiasis ; 52(1): 53, 2024 Apr 02.
Article em En | MEDLINE | ID: mdl-38564004
ABSTRACT
The stone density (SD) is not the same in all parts of the stone due to the heterogeneous nature of the stone and the shock wave (SW) passes through tissues of many different densities until it reaches the stone. These factors affect the success of Extracorporeal Shock Wave Lithotripsy (ESWL). We aimed to evaluate the effect of the Variation Coefficient of Stone Density (VCSD) and Renal Cortical Tickness (RCT) on the success of ESWL. Between 2020 and 2023, 510 patients who underwent ESWL were divided into 2 groups treatment success (n304) and treatment failure (n206). Non-Contrast Computed Tomography (NCCT) imaging values of hydronephrosis degree of the kidney, stone location, stone volume (SV), stone-skin distance (SSD), SD, Standard deviation of Stone Density (SDSD), VCSD, RCT, Soft-Tissue Thickness (STT), Muscle Thickness (MT) were analyzed. VCSD value was obtained by dividing SDSD by SD. Along the SW, tissues were divided into three components kidney (renal cortex), muscle and other soft tissues. RCT, MT and SSD were measured at three different angles (0°, 45°, and 90°) and these 3 lengths were averaged. In univariate analysis, Body Mass Index (BMI), SV, SD, VCSD, SSD, RCT and STT were demonstrated to affect ESWL success. In multivariate analysis, low BMI, SV, SD, RCT and large VCSD were significant independent predictors of ESWL success. Among these parameters, VCSD had the highest prediction accuracy, followed by SD, SV, RCT and BMI, respectively. This study demonstrated that VCSD value and RCT are predictive parameters in determining the treatment of patients with urinary calculi and selecting suitable ESWL candidates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Litotripsia / Cálculos Urinários Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Litotripsia / Cálculos Urinários Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article