BMC Urology (Jan 2023)

Value of preoperative ureteral wall thickness in prediction of impaction of ureteric stones stratified by size in laser ureteroscopic lithotripsy

  • Abdrabuh M. Abdrabuh,
  • El-Sayed I. El-Agamy,
  • Mohamed A. Elhelaly,
  • Tamer A. Abouelgreed,
  • Ibrahim Abdel-Al,
  • Hamada A. Youssof,
  • Adel Elatreisy,
  • Osama Shalkamy,
  • Mohamed Elebiary,
  • Mohammed Agha,
  • Ibrahim Tagreda,
  • Ahmed Alrefaey,
  • Elsayed Elawadey

DOI
https://doi.org/10.1186/s12894-022-01168-4
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 9

Abstract

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Abstract Objectives To evaluate the role of preoperative UWT in the prediction of impaction of ureteral stones stratified according to stone size in ureteroscopic laser lithotripsy. Patient and methods This study included 154 patients submitted to URSL for ureteral stones. Radiological data comprised the presence of hydronephrosis, anteroposterior pelvic diameter (PAPD), proximal ureteric diameter (PUD), and maximum UWT at the stone site. Collected stone characteristics were stone size, side, number, site, and density. Results The study included 154 patients subjected to URSL. They comprised 74 patients (48.1%) with impacted stones and 80 (51.9%) with non-impacted stones. Patients were stratified into those with stone size ≤ 10 mm and others with stone size > 10 mm. In the former group, we found that stone impaction was significantly associated with higher PAPD, PUD, and UWT. In patients with stone size > 10 mm, stone impaction was related to higher UWT, more stone number, and higher frequency of stones located in the lower ureter. ROC curve analysis revealed good power of UWT in discrimination of stone impaction in all patients [AUC (95% CI) 0.65 (0.55–0.74)] at a cut-off of 3.8 mm, in patients with stone size ≤ 10 mm [AUC (95% CI) 0.76 (0.61–0.91)] at a cut-off of 4.1 mm and in patients with stone size > 10 mm [AUC (95% CI) 0.72 (0.62–0.83)] at a cut-off of 3.0 mm. Conclusions Stratifying ureteric stones according to size would render UWT a more practical and clinically-oriented approach for the preoperative prediction of stone impaction.

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