loading page

The factors that affecting shockwave lithotripsy treatment outcome of kidney stones
  • +1
  • MEHMET VEHBİ KAYRA,
  • Mehmet Resit GOREN,
  • Cevahir Ozer,
  • Ferhat Kilinc
MEHMET VEHBİ KAYRA
Baskent Universitesi Adana Uygulama ve Arastirma Merkezi

Corresponding Author:[email protected]

Author Profile
Mehmet Resit GOREN
Baskent University
Author Profile
Cevahir Ozer
Baskent Universitesi Adana Uygulama ve Arastirma Merkezi
Author Profile
Ferhat Kilinc
Baskent Universitesi Adana Uygulama ve Arastirma Merkezi
Author Profile

Abstract

Bacground: We aimed to analyze combination of the schockwave lithotripy (SWL) success predictors. Methods: In this retrospective study, the outcomes of the patients with kidney stones treated with SWL were analyzed. Adult patients (≥18 years) with complete records with non-contrast computed tomography (NCCT), stone analysis, laboratory data were involved in the study. Patients who were with urinary system anomalies, who were receiving alpha-blocker and/or calcium channel blockers and whom with impaired kidney function were excluded. The effect of stone density, skin-to-stone distance (SSD), perirenal tissue density (PTD), subcutaneous tissue density (STD), stone size, stone burden, stone localization, infundibulopelvic angle (IA), as well as body mass index (BMI) and stone analysis results on the success of the treatment was evaluated. Results: SSD, PTD, STD, stone localization, IA, as well as body-mass index, did not have any association with SWL success. Stone size and stone burden had a significant association with treatment success (p = 0.0001), and the cut-off values determined for stone size and stone burden were 12.95 mm (p = 0.0006) and 121.38 mm2 (p = 0.004) respectively. Stone density also had a significant association with treatment success (p = 0.0001), and the cut-off value determined for stone density was 739 HU (Hounsfield Unit) (p = 0.001). Treatment success was significantly lower in cystine and calcium oxalate monohydrate stones compared to other stone types (p = 0.019). Conclusion: Significant markers that determine SWL effectiveness are stone size, stone burden, stone density and, besides, stone type.