Abstract
The association between mean stone density (MSD) and ureteroscopic lithotripsy outcome remains controversial. MSD automatically measured by 3D images of stones (3D-MSD) was recently reported to be more useful than manual measuring methods for predicting outcomes of shock-wave lithotripsy. This study aims to investigate whether 3D-MSD can predict ureteroscopic lithotripsy outcome. We retrospectively identified 218 patients who underwent ureteroscopic lithotripsy for kidney stones (n = 135) and ureteral stones (n = 83) between February 2011 and April 2017 with pretreatment non-contrast computed tomography (NCCT) at our hospital. Stone volume and 3D-MSD were automatically measured using high functional viewer. Logistic regression analysis was performed to identify factors contributing to treatment failure. Treatment failure was determined as residual fragments ≥ 4 mm using NCCT within 3 months after operation. Treatment failure rate was 20.1% (44/218 cases). Patients in treatment failure group had higher percentage of kidney stones (< 0.01) and multiple stones (p < 0.01), larger stone volume (p < 0.01) and higher 3D-MSD (p < 0.01). Multivariate analysis revealed that stone location (p < 0.01), stone number (p < 0.01), stone volume (p = 0.02) and 3D-MSD (p = 0.02) independently predicted the outcome. Categorized by stone location, 3D-MSD was the only significant independent predictor in cases of ureteral stones (p < 0.01), but was not significant in cases of kidney stones. 3D-MSD is useful for predicting ureteroscopic lithotripsy outcome in cases of ureteral stones.
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Abbreviations
- URSL:
-
Ureteroscopic lithotripsy
- MSD:
-
Mean stone density
- SWL:
-
Shock-wave lithotripsy
- 3D-MSD:
-
Three-dimensional mean stone density
- NCCT:
-
Non-contrast computed tomography
- BMI:
-
Body mass index
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This document was proofread and edited by Benjamin Phillis at the Clinical Study Support Center at Wakayama Medical University.
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Yamashita, S., Iwahashi, Y., Deguchi, R. et al. Three-dimensional mean stone density on non-contrast computed tomography can predict ureteroscopic lithotripsy outcome in ureteral stone cases. Urolithiasis 48, 547–552 (2020). https://doi.org/10.1007/s00240-020-01178-7
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DOI: https://doi.org/10.1007/s00240-020-01178-7