ArticleUrolithiasis2020
The usefulness of the maximum Hounsfield units (HU) in predicting the shockwave lithotripsy outcome for ureteral stones and the proposal of novel indicators using the maximum HU.
Article in Urolithiasis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Radiologically Measured Renal Pelvis Urine Density Is Associated with Severe Infectious Complications After Ureteroscopy for Ureteral Stones: A Post Hoc Analysis of a Multicenter Prospective Study.European urology open science · 2025Article
- Variation coefficient of stone density - can it crack the stone?World journal of nephrology · 2025Article
- Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach.BMC medical imaging · 2025Article
- The effectiveness and safety between prone position and supine position for ultrasound guided shock wave lithotripsy in proximal ureteral stones: a multi-center prospective propensity score-matching study.World journal of urology · 2024Article
- 3D dynamic diuretic renal scintigraphy using a hybrid whole body CZT SPECT/CT camera protocol in the evaluation of acute ureteric obstruction caused by ureteric stone.EJNMMI reports · 2024Article
- The mean Hounsfield unit range acquired from different slices produces superior predictive accuracy for pyonephrosis in obstructive uropathy.Investigative and clinical urology · 2024Article
- Article
- A case of urinary calculus in a patient with Ehlers-Danlos syndrome.IJU case reports · 2023Article
- Extremely slow, half-number shockwave lithotripsy for ureteral stones.Urolithiasis · 2022Article
- The usefulness of the Hounsfield unit and stone heterogeneity variation in predicting the shockwave lithotripsy outcome.Diagnostic and interventional radiology (Ankara, Turkey) · 2022Article
- Variables measured on three-dimensional computed tomography are preferred for predicting the outcomes of shock wave lithotripsy.World journal of urology · 2022Article
- Factors affecting success in the treatment of proximal ureteral stones larger than 1 cm with extracorporeal shockwave lithotripsy in adult patients.Urolithiasis · 2021Article
- Extremely-slow, half-number shockwave lithotripsy for asymptomatic renal stones <20 mm.Investigative and clinical urology · 2021Article
- Hounsfield unit attenuation value can differentiate pyonephrosis from hydronephrosis and predict septic complications in patients with obstructive uropathy.Scientific reports · 2020Article
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6 authors.
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Abstract
Computed tomography (CT) attenuation value of ureteral stones is one of the predictors of shockwave lithotripsy (SWL) outcome. It is common to use the mean Hounsfield units (HU) to describe the CT attenuation value. However, an observer bias can occur when measuring the mean HU in the conventional method. On the other hand, our way to obtain only the maximum HU is simpler and less biased. We retrospectively evaluated 464 patients with ureteral stones who underwent SWL and compared predictive accuracy of various factors including maximum and mean HU. Results were determined after a single SWL. Predictors of SWL success were examined by the statistical analysis of successful and failed groups. 324 of the 464 patients who underwent SWL were stone-free after a single SWL. Significant differences were found in factors related to CT attenuation value and stone size. As a result of receiver operating characteristic analysis, it was found that maximum HU and mean HU, major diameter and volume have equivalent prediction accuracy, respectively. Multivariate analysis revealed that maximum HU and major diameter were included in independent predictors. We also examined the new original indicators using maximum HU and major diameter. Stone-resistant probability obtained from the logistic model and Maximum HU and Major diameter Index obtained by multiplying maximum HU by major diameter were useful for predicting SWL success, respectively. In conclusion, maximum HU and mean HU have equivalent predictive accuracy, and maximum HU is easier to measure and less biased than mean HU.
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